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kangarooking/kangarooking-skills
My custom AI Agent skills
History
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ai-article-daily/SKILL.md
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707GitHub stars
14stars in 7 days
20skills in this repository
1commit in 30 days
Heat
7.0- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- ai-article-daily
ai-article-daily - apimart-image-gen
apimart-image-gen - book-illustration-workflow
book-illustration-workflow - cover-skill
cover-skill - harness-engineering
harness-engineering - hy-3d-gen
hy-3d-gen - multi-agent-image
multi-agent-image - reshape-your-life
reshape-your-life - scroll-promo-site-builder
scroll-promo-site-builder - shijing-paper-zine
shijing-paper-zine - storefront-to-brand-system
storefront-to-brand-system - task-harness
task-harness - twitter-monitor
twitter-monitor - video-downloader
video-downloader - viral-title
viral-title - viral-topic
viral-topic - bilibili-viral-topic
viral-topic/bilibili-viral-topic - wechat-viral-topic
viral-topic/wechat-viral-topic - x-viral-topic
viral-topic/x-viral-topic - youtube-viral-topic
viral-topic/youtube-viral-topic
How it works
When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,364 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 触发场景
- 用户画像
- 完整SOP流程
- 文件输出规范
- 执行检查清单
- 注意事项
- 错误处理
- 版本记录
Files
SKILL.mdcore7,702 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubapimart-image-gen
When your agent uses it
Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
880 tokensWhen the skill is activated
Reference documents
643 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Credential Rule
- Quick Start
- Workflows
- Defaults And Limits
- Reference
Scripts executed separately
scripts/apimart_image_gen.py
Files
SKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesSKILL.mdcore3,088 bytesagents/openai.yamlasset226 bytesreferences/api.mddoc2,126 bytesscripts/apimart_image_gen.pyruns12,556 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubbook-illustration-workflow
When your agent uses it
用于处理写书过程中的章节截图与插图工作流。适用于：梳理某一章需要哪些截图、逐步给出 Claude Code 实操提示词、规定截图文件名与图号映射、回填本地 Markdown 中的图片位置、清理作者备注为读者版正文、以及把章节和图片按正确位置同步到 Feishu 文档。用户如果提到“书的截图”“章节配图”“图号对应”“放到原文里”“上传飞书文档”“按刚才那套流程来”，应触发此 skill。
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
2,045 tokensWhen the skill is activated
Reference documents
1,122 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 目标
- 触发条件
- 核心原则
- 标准流程
- 命名规则
- 附带模板
- 质量检查清单
- 默认回答风格
- 不要做的事
Files
SKILL.mdcore7,148 bytesreferences/chapter-illustration-template.mddoc3,647 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcover-skill
When your agent uses it
Use for the owner's personal creator-content thumbnails and covers for short video, Bilibili, Douyin, WeChat, or similar platforms from a title, summary, established real portrait, kangaroo IP, product Logo, screenshot, or app reference. It enforces the owner's visual signature, runs a four-concept selection stage, then five responsive platform ratios. Do not use for generic clients, book or album covers, slide title pages, generic posters or social cards, article body illustrations, document headers, website hero art, or unrelated image edits unless the user explicitly invokes cover-skill and accepts the personal-signature rules.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
2,436 tokensWhen the skill is activated
Reference documents
6,957 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Intake
- Route the request
- Stage 1: Four concepts
- Stage 2: Five ratios
- Compositing rule
- Output contract
- Required references
Scripts executed separately
scripts/validate_exports.py
Files
SKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesSKILL.mdcore11,498 bytesagents/openai.yamlasset685 bytesassets/cover-skill-icon-1024.pngasset31,404 bytesassets/cover-skill-icon-128.pngasset3,030 bytesassets/cover-skill-icon-256.pngasset6,624 bytesassets/cover-skill-icon-32.pngasset663 bytesassets/cover-skill-icon-400.pngasset10,901 bytesassets/cover-skill-icon-512.pngasset14,152 bytesassets/cover-skill-icon-64.pngasset1,366 bytesassets/cover-skill-logo.svgasset1,307 bytesreferences/core-rules.mddoc5,395 bytesreferences/exploration.mddoc7,717 bytesreferences/personal-brand.mddoc5,853 bytesreferences/platform-adaptation.mddoc6,889 bytesreferences/qa.mddoc6,671 bytesscripts/validate_exports.pyruns45,124 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubharness-engineering
When your agent uses it
Initialize a Harness Engineering framework in the current project. Use when user says 'harness', 'init harness', 'initialize framework', 'setup harness engineering', '/harness', or wants to set up a Plan-Build-Verify development workflow with specialized agents (planner, generator, evaluator). Creates CLAUDE.md, agent definitions, command templates, hooks, and documentation structure for autonomous AI-driven development.
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,046 tokensWhen the skill is activated
Reference documents
8,194 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Initialization Process
- Usage After Initialization
- Key Principles
- Architecture
Scripts executed separately
scripts/scaffold.pytemplates/hooks/context-injector.pytemplates/hooks/loop-detector.pytemplates/hooks/pre-completion-check.py
Files
SKILL.mdcore4,794 bytesSKILL.mdcore4,794 bytesSKILL.mdcore4,794 bytesSKILL.mdcore4,794 bytesscripts/scaffold.pyruns7,865 bytestemplates/CLAUDE.mddoc1,993 bytestemplates/agents/doc-gardener.mddoc2,768 bytestemplates/agents/evaluator.mddoc4,165 bytestemplates/agents/generator.mddoc3,065 bytestemplates/agents/planner.mddoc3,079 bytestemplates/commands/build.mddoc1,531 bytestemplates/commands/plan.mddoc913 bytestemplates/commands/qa.mddoc1,265 bytestemplates/commands/sprint.mddoc2,057 bytestemplates/docs/architecture.mddoc4,608 bytestemplates/docs/contracts/TEMPLATE.mddoc1,099 bytestemplates/docs/golden-principles.mddoc4,342 bytestemplates/docs/sprint-workflow.mddoc4,863 bytestemplates/hooks/context-injector.pyruns3,390 bytestemplates/hooks/loop-detector.pyruns3,749 bytestemplates/hooks/pre-completion-check.pyruns1,734 bytestemplates/settings.jsonasset1,087 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubhy-3d-gen
When your agent uses it
输入文字或图片，通过腾讯混元生3D TokenHub/OpenAI 兼容接口或腾讯云 SDK 生成3D模型。支持文生3D、图生3D、多视图生3D、PBR、白模、草图生3D、智能拓扑生3D；当用户要求生成或查询混元3D模型时使用。
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
4,086 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 本地 Codex 安全说明
- 功能描述
- 环境配置指引
- Agent 执行指令（必读）
- API 参考
- 核心脚本
- 依赖
Scripts executed separately
scripts/hy3d_api.pyscripts/main.pyscripts/query_job.pyscripts/submit_job.py
Files
SKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesSKILL.mdcore13,632 bytesscripts/hy3d_api.pyruns16,836 bytesscripts/main.pyruns5,001 bytesscripts/query_job.pyruns2,656 bytesscripts/submit_job.pyruns3,466 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmulti-agent-image
When your agent uses it
Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.
What it loads into context
Frontmatter
120 tokensAlways available to the agent
SKILL.md
2,564 tokensWhen the skill is activated
Reference documents
5,192 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Architecture
- Setup
- Core Components
- Internal Design Compiler
- Supported Tasks
- Usage
- Interactive Workflow
- Batch Generation
- Series Generation
- Case Library
- Validation Guidance
- Current Limits
- Version History
Scripts executed separately
scripts/batch_generator_v2.pyscripts/case_library.pyscripts/case_selector.pyscripts/design_compiler.pyscripts/design_image.pyscripts/gpt_image2_generator.pyscripts/install.pyscripts/interactive_run.pyscripts/orchestrator_v2.pyscripts/quick_start.pyscripts/series_generator.pytemplates/linear_batch.py
Files
README.mddoc7,020 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesSKILL.mdcore10,628 bytesreferences/agents/image_generator.mddoc2,539 bytesreferences/agents/metadata_manager.mddoc1,595 bytesreferences/agents/prompt_engineer.mddoc1,720 bytesreferences/agents/qa_bot.mddoc1,893 bytesreferences/agents/style_scout.mddoc3,084 bytesscripts/batch_generator_v2.pyruns7,442 bytesscripts/case_library.pyruns8,333 bytesscripts/case_selector.pyruns4,955 bytesscripts/design_compiler.pyruns18,843 bytesscripts/design_image.pyruns4,872 bytesscripts/gpt_image2_generator.pyruns7,301 bytesscripts/install.pyruns2,868 bytesscripts/interactive_run.pyruns3,349 bytesscripts/orchestrator_v2.pyruns16,348 bytesscripts/quick_start.pyruns9,673 bytesscripts/series_generator.pyruns13,729 bytestemplates/linear_batch.pyruns2,562 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubreshape-your-life
When your agent uses it
帮助用户从NLP理解层次的顶层重新规划人生；当用户感到迷茫、深陷日复一日的执行循环、不知如何突破现状时使用
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
2,017 tokensWhen the skill is activated
Reference documents
7,024 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
SKILL.mdcore7,596 bytesreferences/nlp-levels-guide.mddoc10,747 bytesreferences/session-script.mddoc15,103 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubscroll-promo-site-builder
When your agent uses it
Create a scroll-controlled cinematic product website with rich motion (动效网站) from product materials, reference pages or videos, and brand assets. Use for requests involving 网站动效, immersive product landing pages where scrolling moves a continuous video forward and backward, multi-scene visual storytelling, direct image2.0 and Seedance 2.0 generation, scene-continuity review, or local preview packaging. Do not use for ordinary corporate sites, dashboards, ecommerce, blogs, or standalone promo videos without a website.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
2,182 tokensWhen the skill is activated
Reference documents
4,233 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Positioning and attribution
- Non-negotiable model contract
- Required phase gates
- Workflow
- Script map
- Completion criteria
Scripts executed separately
assets/handoff-templates/start-mac.commandassets/handoff-templates/start-windows.batassets/site-template/package.jsonassets/site-template/src/App.tsxassets/site-template/src/main.tsxassets/site-template/src/scenes.tsassets/site-template/vite.config.tsscripts/build_review_sequence.pyscripts/encode_web_video.shscripts/extract_boundary_frames.shscripts/make_contact_sheet.shscripts/package_local_preview.shscripts/probe_videos.py
Files
LICENSEasset1,069 bytesSKILL.mdcore10,545 bytesSKILL.mdcore10,545 bytesSKILL.mdcore10,545 bytesTHIRD_PARTY_NOTICES.mddoc1,590 bytesagents/openai.yamlasset327 bytesassets/document-templates/asset-manifest.jsonasset413 bytesassets/document-templates/creative-brief.mddoc234 bytesassets/document-templates/development-plan.mddoc226 bytesassets/document-templates/project-intake.mddoc359 bytesassets/document-templates/requirements.mddoc277 bytesassets/document-templates/review-sequence.jsonasset315 bytesassets/document-templates/storyboard.mddoc586 bytesassets/handoff-templates/start-mac.commandruns316 bytesassets/handoff-templates/start-windows.batruns283 bytesassets/handoff-templates/预览说明.mddoc539 bytesassets/site-template/index.htmlasset372 bytesassets/site-template/package.jsonruns458 bytesassets/site-template/public/media/PLACE_SCROLL_VIDEO_HERE.txtdoc73 bytesassets/site-template/public/stills/PLACE_SCENE_STILLS_HERE.txtdoc71 bytesassets/site-template/src/App.tsxruns5,625 bytesassets/site-template/src/main.tsxruns232 bytesassets/site-template/src/scenes.tsruns1,442 bytesassets/site-template/src/styles.cssasset4,476 bytesassets/site-template/tsconfig.app.jsonasset537 bytesassets/site-template/tsconfig.jsonasset71 bytesassets/site-template/vite.config.tsruns136 bytesreferences/continuity-review.mddoc1,412 bytesreferences/delivery-checklist.mddoc1,549 bytesreferences/model-invocation-spec.mddoc1,770 bytesreferences/runtime-compatibility.mddoc1,384 bytesreferences/scroll-site-implementation.mddoc1,974 bytesreferences/storyboard-schema.mddoc1,488 bytesreferences/video-prompt-guidelines.mddoc1,976 bytesreferences/visual-consistency.mddoc1,568 bytesreferences/workflow.mddoc2,312 bytesscripts/build_review_sequence.pyruns3,767 bytesscripts/encode_web_video.shruns1,241 bytesscripts/extract_boundary_frames.shruns1,555 bytesscripts/make_contact_sheet.shruns1,158 bytesscripts/package_local_preview.shruns1,183 bytesscripts/probe_videos.pyruns3,211 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubshijing-paper-zine
When your agent uses it
Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
1,808 tokensWhen the skill is activated
Reference documents
1,198 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Required input
- Preset style references
- Choose the fidelity mode first
- Build a Scene Note
- Compose the poster
- Use one structural color
- Build the material boundary
- Add micro-copy only when it helps
- Compile the generation prompt
- Series workflow
- Correction loop
- Hard avoids
- Output
Files
SKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesSKILL.mdcore8,969 bytesassets/example-cover.pngasset5,664,782 bytesassets/example-humanity.pngasset5,302,759 bytesassets/example-landscape.pngasset5,620,141 bytesassets/example-urban.pngasset5,371,104 bytesreferences/quality-gate.mddoc1,539 bytesreferences/scene-routing.mddoc4,578 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubstorefront-to-brand-system
When your agent uses it
将用户提供的真实实体店照片转化为可落地的品牌视觉系统。适用于花店、咖啡店、烘焙店、书店、买手店、工作室与生活方式小店；完成商业与空间分析、几何标志提炼、门店轻改造、包装物料和社媒传播，并保持原店铺可辨认、品牌一致且贴近日常消费审美。
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,779 tokensWhen the skill is activated
Reference documents
1,646 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 输入
- 输入使用
- 动态参考
- 内部流程
- 输出
- Ask User
- 自检
Files
SKILL.mdcore6,732 bytesreferences/deliverables.mddoc1,705 bytesreferences/quality-checklist.mddoc1,560 bytesreferences/visual-method.mddoc2,452 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtask-harness
When your agent uses it
将需求拆解为结构化任务清单，生成长时运行 Agent 的任务管理系统（基于 Anthropic Effective harnesses 方法论）。当用户需要管理多会话开发任务、跟踪功能完成进度、或要求"拆解任务""任务管理""项目规划"时自动触发
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,457 tokensWhen the skill is activated
Reference documents
1,590 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心流程
- Agent 工作流（每个会话）
- 严格规则
- 文件间关系
- 引用
Scripts executed separately
references/templates/init.sh
Files
SKILL.mdcore5,742 bytesSKILL.mdcore5,742 bytesSKILL.mdcore5,742 bytesSKILL.mdcore5,742 bytesreferences/methodology.mddoc5,845 bytesreferences/templates/feature_list.jsonasset1,259 bytesreferences/templates/init.shruns2,185 bytesreferences/templates/progress.txtdoc1,434 bytesreferences/templates/task.jsonasset1,429 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtwitter-monitor
When your agent uses it
Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally guide recurring execution through OpenClaw, Codex automations, cron, or launchd. Use when the user wants to monitor X bloggers, collect recent tweets, export tweet metrics, append tweets to Feishu Bitable, or set up a scheduled Twitter/X account tracking workflow.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
741 tokensWhen the skill is activated
Reference documents
653 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Quick Start
- Output Schema
- Feishu
- Scheduling
- Safety
Scripts executed separately
scripts/twitter_monitor.py
Files
SKILL.mdcore3,271 bytesSKILL.mdcore3,271 bytesSKILL.mdcore3,271 bytesSKILL.mdcore3,271 bytesassets/accounts.example.jsonasset53 bytesassets/env.exampleasset47 bytesreferences/feishu-output.mddoc984 bytesreferences/scheduling.mddoc992 bytesreferences/twitterapi-setup.mddoc838 bytesscripts/twitter_monitor.pyruns10,364 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubvideo-downloader
When your agent uses it
Download or open videos and recover platform captions, audio transcripts, keyframes, screen text, visual facts, and editing observations with Doubao or LongCat-2.5 as a plain multimodal_transcript.md. Use for Douyin, Bilibili, YouTube, Xiaohongshu, experimental WeChat Channels links, or local video files when preparing complete source material for analysis or downstream Skill distillation.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
8,219 tokensWhen the skill is activated
Reference documents
188 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Boundary
- Requirements
- Speed defaults and quality tradeoffs
- Configure Doubao Vision
- Configure LongCat-2.5 Vision
- Quick Start
- Choose a Visual Mode
- Output Contract
- ASR
- WeChat Channels (Experimental)
- Provider Behavior
- Failure States
- Safety and Privacy
Scripts executed separately
scripts/artifact_metadata.pyscripts/asr.pyscripts/asr_chunks.pyscripts/asr_config.pyscripts/download_video.pyscripts/media_probe.pyscripts/providers/__init__.pyscripts/providers/bilibili.pyscripts/providers/douyin.pyscripts/providers/local_file.pyscripts/providers/media_options.pyscripts/providers/safety.pyscripts/providers/wechat_channels.pyscripts/providers/xiaohongshu.pyscripts/providers/youtube.pyscripts/subtitles.pyscripts/text_renderer.pyscripts/vision/__init__.pyscripts/vision/cache.pyscripts/vision/clip_selector.pyscripts/vision/clipper.pyscripts/vision/doubao.pyscripts/vision/frame_sampler.pyscripts/vision/interaction.pyscripts/vision/longcat.pyscripts/vision/pipeline.pyscripts/vision/planner.pyscripts/vision/video_preparer.py
Files
SKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesSKILL.mdcore37,450 bytesTHIRD_PARTY_NOTICES.mddoc895 bytesscripts/artifact_metadata.pyruns2,294 bytesscripts/asr.pyruns16,987 bytesscripts/asr_chunks.pyruns5,079 bytesscripts/asr_config.pyruns2,230 bytesscripts/download_video.pyruns21,881 bytesscripts/media_probe.pyruns2,958 bytesscripts/providers/__init__.pyruns826 bytesscripts/providers/bilibili.pyruns7,236 bytesscripts/providers/douyin.pyruns13,897 bytesscripts/providers/local_file.pyruns2,298 bytesscripts/providers/media_options.pyruns577 bytesscripts/providers/safety.pyruns1,312 bytesscripts/providers/wechat_channels.pyruns26,166 bytesscripts/providers/xiaohongshu.pyruns6,791 bytesscripts/providers/youtube.pyruns7,907 bytesscripts/subtitles.pyruns5,357 bytesscripts/text_renderer.pyruns10,062 bytesscripts/vision/__init__.pyruns118 bytesscripts/vision/cache.pyruns2,341 bytesscripts/vision/clip_selector.pyruns18,606 bytesscripts/vision/clipper.pyruns3,877 bytesscripts/vision/doubao.pyruns32,853 bytesscripts/vision/frame_sampler.pyruns7,432 bytesscripts/vision/interaction.pyruns5,575 bytesscripts/vision/longcat.pyruns17,678 bytesscripts/vision/pipeline.pyruns29,319 bytesscripts/vision/planner.pyruns3,516 bytesscripts/vision/video_preparer.pyruns3,947 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubviral-title
When your agent uses it
Generate high-potential viral title candidates for content across WeChat public account articles, X/Twitter posts, YouTube videos, Bilibili videos, and similar content platforms. Use when the user needs headline/title ideation, batch title generation, platform-specific title adaptation, title-library reuse, title selection, title scoring, or a reusable title workflow based on universal formulas plus separated platform methods such as 公众号, X, YouTube, and B站.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,590 tokensWhen the skill is activated
Reference documents
23,387 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Workflow
- Platform Routing
- Evolution Loop
- Feedback Hook
- Phase 1 Output Format
- Quality Rules
- Future Extension Points
Scripts executed separately
scripts/analyze_feedback.pyscripts/log_feedback.pyscripts/log_title_session.pyscripts/mechanism_lib.pyscripts/retrieve_title_examples.pyscripts/run_title_evals.py
Files
SKILL.mdcore7,155 bytesSKILL.mdcore7,155 bytesSKILL.mdcore7,155 bytesSKILL.mdcore7,155 bytesagents/openai.yamlasset238 bytesmeta/RULES.mddoc1,779 bytesreferences/evals/bilibili-ai-title-evals.jsonasset933 bytesreferences/evals/wechat-ai-title-evals.jsonasset2,143 bytesreferences/evals/x-ai-hook-evals.jsonasset881 bytesreferences/evals/youtube-ai-title-evals.jsonasset915 bytesreferences/evolution/anti-patterns.mddoc621 bytesreferences/evolution/learning-candidates.mddoc277 bytesreferences/evolution/promoted-rules.mddoc550 bytesreferences/mechanisms.jsonasset3,636 bytesreferences/phase1-universal-methodology.mddoc6,029 bytesreferences/platforms/bilibili.mddoc6,355 bytesreferences/platforms/wechat-public-account.mddoc5,102 bytesreferences/platforms/x.mddoc5,035 bytesreferences/platforms/youtube.mddoc6,301 bytesreferences/title-library/bilibili-hot-titles.mddoc3,834 bytesreferences/title-library/wechat-ai-curated-hot-titles.mddoc11,687 bytesreferences/title-library/wechat-public-account-hot-titles.jsonasset297,714 bytesreferences/title-library/wechat-public-account-hot-titles.mddoc25,359 bytesreferences/title-library/x-hot-hooks.mddoc5,235 bytesreferences/title-library/youtube-hot-titles.mddoc3,512 bytesscripts/analyze_feedback.pyruns6,333 bytesscripts/log_feedback.pyruns1,770 bytesscripts/log_title_session.pyruns3,310 bytesscripts/mechanism_lib.pyruns2,064 bytesscripts/retrieve_title_examples.pyruns6,059 bytesscripts/run_title_evals.pyruns5,090 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubviral-topic
When your agent uses it
Route viral topic discovery across platform-specific account-growth skills. Use when the user asks for 起号选题, low-follower viral references, recent viral content, cross-platform topic mining, or does not specify whether to search WeChat, X, Bilibili, or YouTube.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
815 tokensWhen the skill is activated
Reference documents
368 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Package Layout
- Platform Routing
- Workflow
- Output Shape
- Guardrails
Files
SKILL.mdcore3,561 bytesSKILL.mdcore3,561 bytesagents/openai.yamlasset205 bytesreferences/platforms.mddoc1,453 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubbilibili-viral-topic
When your agent uses it
Find low-follower viral Bilibili videos for account-growth topic selection. Use when the user asks for B站低粉爆款, Bilibili low-fan hits, 起号选题 from B站, niche Bilibili references, or videos ranked by UP主粉丝数, 播放, 点赞, 投币, 收藏, 分享, 评论, 弹幕, and 播放粉丝比.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
789 tokensWhen the skill is activated
Reference documents
971 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Workflow
- Output Contract
- Guardrails
Scripts executed separately
scripts/search_bilibili_viral_topic.py
Files
SKILL.mdcore3,113 bytesSKILL.mdcore3,113 bytesSKILL.mdcore3,113 bytesSKILL.mdcore3,113 bytesagents/openai.yamlasset226 bytesreferences/category_map.mddoc904 bytesreferences/rate_limits.mddoc889 bytesreferences/scoring.mddoc1,489 bytesscripts/search_bilibili_viral_topic.pyruns23,402 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubwechat-viral-topic
When your agent uses it
Find WeChat public-account articles that break out above the account's average reads for account-growth topic selection. Use when the user asks to discover 公众号爆款, 微信低粉爆款, 平均阅读爆款, 起号选题, category-based WeChat hot articles, or article references filtered by month_read_avg rather than unstable follower_count.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
906 tokensWhen the skill is activated
Reference documents
890 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Workflow
- Output Contract
- Guardrails
Scripts executed separately
scripts/search_wechat_viral_topic.py
Files
SKILL.mdcore3,751 bytesSKILL.mdcore3,751 bytesSKILL.mdcore3,751 bytesSKILL.mdcore3,751 bytesSKILL.mdcore3,751 bytesagents/openai.yamlasset229 bytesreferences/categories.mddoc1,195 bytesreferences/scoring.mddoc1,828 bytesscripts/search_wechat_viral_topic.pyruns18,489 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubx-viral-topic
When your agent uses it
Find low-follower viral posts on X/Twitter for account-growth topic selection. Use when the user asks for X low-fan hits, Twitter low follower viral posts, 起号选题 from X, niche tweet inspiration, or viral posts ranked by author followers, views, bookmarks, likes, reposts, and replies.
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
676 tokensWhen the skill is activated
Reference documents
535 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Workflow
- Query Pattern
- Output Contract
- Guardrails
Scripts executed separately
scripts/search_x_viral_topic.py
Files
SKILL.mdcore2,858 bytesSKILL.mdcore2,858 bytesSKILL.mdcore2,858 bytesSKILL.mdcore2,858 bytesagents/openai.yamlasset197 bytesreferences/querying.mddoc759 bytesreferences/scoring.mddoc1,265 bytesscripts/search_x_viral_topic.pyruns13,840 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubyoutube-viral-topic
When your agent uses it
Find recent viral YouTube videos for account-growth topic selection. Use when the user asks for YouTube 爆款, YouTube hot videos, 起号选题 from YouTube, niche video references, recent high-view videos, or videos ranked by views, likes, comments, freshness, and topic relevance without low-follower filtering.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
664 tokensWhen the skill is activated
Reference documents
641 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Workflow
- Output Contract
- Guardrails
Scripts executed separately
scripts/search_youtube_viral_topic.py
Files
SKILL.mdcore2,842 bytesSKILL.mdcore2,842 bytesSKILL.mdcore2,842 bytesSKILL.mdcore2,842 bytesagents/openai.yamlasset210 bytesreferences/querying.mddoc1,159 bytesreferences/scoring.mddoc1,377 bytesscripts/search_youtube_viral_topic.pyruns17,384 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- apimart-image-gen
- book-illustration-workflow
- cover-skill
- harness-engineering
- hy-3d-gen
- multi-agent-image
- reshape-your-life
- scroll-promo-site-builder
- shijing-paper-zine
- storefront-to-brand-system
- task-harness
- twitter-monitor
- video-downloader
- viral-title
- viral-topic
- bilibili-viral-topic
- wechat-viral-topic
- x-viral-topic
- youtube-viral-topic
Repository facts
- License
- No license detected
- Created
- Mar 10, 2026
- Last pushed
- Nov 4, 2026
- Forks
- 116
- Open issues
- 2
- Project activity
- Active
Rank over the last 12 weeks
Now #879 · best #793 · down 47 in 30 days
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63 earlier periods
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Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 123 notes
apimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedapimart-image-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcover-skill/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedharness-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedharness-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedharness-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhy-3d-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhy-3d-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhy-3d-gen/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 2 files: harness-engineering/templates/settings.json:17 scroll-promo-site-builder/scripts/package_local_preview.sh:33
- 1,396 network referencesin 40 files: viral-title/references/title-library/wechat-public-account-hot-titles.json:37 hy-3d-gen/SKILL.md:46 video-downloader/SKILL.md:72 and 37 more
- No hidden or obfuscated text
- No instruction overrides
- 75 executable scriptsin 75 files: apimart-image-gen/scripts/apimart_image_gen.py:1 cover-skill/scripts/validate_exports.py:1 harness-engineering/scripts/scaffold.py:1 and 72 more
- 249 references to secretsin 38 files: video-downloader/scripts/vision/doubao.py:39 video-downloader/SKILL.md:34 wechat-viral-topic/scripts/search_wechat_viral_topic.py:36 and 35 more
- No requests to vote in Hot
Show all 1,722 signals by file
ai-article-daily/SKILL.md
- Network accessline 14
- **内容方向**：AI工具、教程类（AI绘图、AI视频、AI Agent、AI知识库、AI编程、大模型等） - **偏好**：容易爆、时效性强的内容 - **文风参考**：https://mp.weixin.qq.com/s/ZaN5BnO9xXOX0vGLFCr2Uw - Network accessline 16
- **文风参考**：https://mp.weixin.qq.com/s/ZaN5BnO9xXOX0vGLFCr2Uw - Network accessline 142
**文风要求**： 1. **参考文风**：https://mp.weixin.qq.com/s/ZaN5BnO9xXOX0vGLFCr2Uw - Network accessline 143
1. **参考文风**：https://mp.weixin.qq.com/s/ZaN5BnO9xXOX0vGLFCr2Uw
apimart-image-gen/SKILL.md
- Access to secretsline 17
[Credential-related source omitted] - Network accessline 50
python scripts/apimart_image_gen.py generate \ --prompt "把参考图变成水彩画风格" \ --image-url "https://example.com/photo.jpg" \ - Network accessline 51
--prompt "把参考图变成水彩画风格" \ --image-url "https://example.com/photo.jpg" \ --size "4:3" \ - Network accessline 52
--image-url "https://example.com/photo.jpg" \
apimart-image-gen/references/api.md
- Network accessline 5
- GPT-Image-2 generation: https://docs.apimart.ai/en/api-reference/images/gpt-image-2/generation - Network accessline 6
- Task status: https://docs.apimart.ai/en/api-reference/tasks/status - Network accessline 7
- Documentation index: https://docs.apimart.ai/llms.txt - Network accessline 14
POST https://api.apimart.ai/v1/images/generations - Access to secretsline 15
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"size": "16:9", "resolution": "2k", "image_urls": ["https://example.com/photo.jpg"], - Network accessline 27
"resolution": "2k", "image_urls": ["https://example.com/photo.jpg"], "official_fallback": false - Network accessline 28
"image_urls": ["https://example.com/photo.jpg"], - Network accessline 54
GET https://api.apimart.ai/v1/tasks/{task_id}?language=en - Access to secretsline 55
[Credential-related source omitted]
apimart-image-gen/scripts/apimart_image_gen.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 19
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cover-skill/assets/cover-skill-logo.svg
cover-skill/scripts/validate_exports.py
- Executable scriptline 1
#!/usr/bin/env python3
harness-engineering/scripts/scaffold.py
- Executable scriptline 1
#!/usr/bin/env python3
harness-engineering/templates/hooks/context-injector.py
- Executable scriptline 1
#!/usr/bin/env python3
harness-engineering/templates/hooks/loop-detector.py
- Executable scriptline 1
#!/usr/bin/env python3
harness-engineering/templates/hooks/pre-completion-check.py
- Executable scriptline 1
#!/usr/bin/env python3
harness-engineering/templates/settings.json
- Dangerous shell operationline 17
"Bash(rm -rf:*)"
hy-3d-gen/SKILL.md
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- **多种输出格式**：默认 obj+glb，可选 STL、USDZ、FBX - **模型版本选择**：支持 3.0 和 3.1 版本 - **OpenAI 兼容接口**：优先使用 TokenHub `https://tokenhub.tencentmaas.com/v1/api/3d/submit` 与 `/query` - Network accessline 47
- **模型版本选择**：支持 3.0 和 3.1 版本 - **OpenAI 兼容接口**：优先使用 TokenHub `https://tokenhub.tencentmaas.com/v1/api/3d/submit` 与 `/query` - **双后端选择**：`--provider auto` 默认优先 TokenHub；`--provider tokenhub` 强制 TokenHub；`--provider tencent` 强制腾讯云 SDK - Network accessline 48
- **OpenAI 兼容接口**：优先使用 TokenHub `https://tokenhub.tencentmaas.com/v1/api/3d/submit` 与 `/query` - Access to secretsline 62
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🔗 **[腾讯云3D视觉创作控制台](https://console.cloud.tencent.com/ai3d)** - Network accessline 75
🔗 **[腾讯云 API 密钥管理](https://console.cloud.tencent.com/cam/capi)** - Access to secretsline 82
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# 图生3D python3 <SKILL_DIR>/scripts/main.py --image-url "https://example.com/image.jpg" - Network accessline 124
python3 <SKILL_DIR>/scripts/main.py --image-url "https://example.com/image.jpg" - Network accessline 135
- `--image-url <URL>`：输入图片 URL（与 prompt 二选一） - `--image-base64 <BASE64>`：输入图片 Base64 数据（与 prompt 二选一） - `--multi-view <JSON>`：多视角图片 JSON，如 `'[{"ViewType":"back","ViewImageUrl":"https://..."}]'` - Network accessline 136
- `--image-base64 <BASE64>`：输入图片 Base64 数据（与 prompt 二选一） - `--multi-view <JSON>`：多视角图片 JSON，如 `'[{"ViewType":"back","ViewImageUrl":"https://..."}]'` - `--model <VERSION>`：模型版本，默认 `hy-3d-3.0`，可选 `3.0` / `3.1` / `hy-3d-3.0` / `hy-3d-3.1` - Network accessline 137
- `--multi-view <JSON>`：多视角图片 JSON，如 `'[{"ViewType":"back","ViewImageUrl":"https://..."}]'` - Network accessline 153
{ "type": "glb", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", - Network accessline 154
"type": "glb", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png" - Network accessline 155
"url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", - Network accessline 156
"preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png" - Network accessline 158
{ "type": "obj", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.obj" - Network accessline 159
"type": "obj", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.obj" } - Network accessline 160
"url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.obj" - Network accessline 212
{ "type": "glb", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", - Network accessline 213
"type": "glb", "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png" - Network accessline 214
"url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb", - Network accessline 215
"preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png" - Network accessline 229
# 图生3D python3 /path/to/scripts/main.py --image-url "https://example.com/cat.jpg" - Network accessline 230
python3 /path/to/scripts/main.py --image-url "https://example.com/cat.jpg" - Network accessline 244
# 草图生成 python3 /path/to/scripts/main.py --image-url "https://example.com/sketch.png" --generate-type Sketch --prompt "一把椅子" - Network accessline 245
python3 /path/to/scripts/main.py --image-url "https://example.com/sketch.png" --generate-type Sketch --prompt "一把椅子" - Network accessline 250
# 多视角输入 python3 /path/to/scripts/main.py --image-url "https://example.com/front.jpg" --multi-view '[{"ViewType":"back","ViewImageUrl":"https://example.com/back.jpg"},{"ViewType":"left","ViewImageUrl":"https://example.com/left.jpg"}]' - Network accessline 251
python3 /path/to/scripts/main.py --image-url "https://example.com/front.jpg" --multi-view '[{"ViewType":"back","ViewImageUrl":"https://example.com/back.jpg"},{"ViewType":"left","ViewImageUrl":"https://example.com/left.jpg"}]' - Network accessline 306
- TokenHub submit endpoint：`https://tokenhub.tencentmaas.com/v1/api/3d/submit` - Network accessline 307
- TokenHub query endpoint：`https://tokenhub.tencentmaas.com/v1/api/3d/query` - Access to secretsline 308
[Credential-related source omitted]
hy-3d-gen/scripts/hy3d_api.py
- Executable scriptline 1
Executable file - Access to secretsline 13
[Credential-related source omitted] - Network accessline 15
TOKENHUB_SUBMIT_URL = "https://tokenhub.tencentmaas.com/v1/api/3d/submit" - Network accessline 16
TOKENHUB_QUERY_URL = "https://tokenhub.tencentmaas.com/v1/api/3d/query" - Access to secretsline 19
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[Credential-related source omitted]
hy-3d-gen/scripts/main.py
hy-3d-gen/scripts/query_job.py
hy-3d-gen/scripts/submit_job.py
multi-agent-image/README.md
multi-agent-image/SKILL.md
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[Credential-related source omitted]
multi-agent-image/references/agents/image_generator.md
multi-agent-image/scripts/batch_generator_v2.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/case_library.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/case_selector.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/design_compiler.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/design_image.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/gpt_image2_generator.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 14
API_BASE = "https://api.apimart.ai/v1" - Access to secretsline 16
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response = requests.post(url, headers=headers, json=data, timeout=30) - Access to secretsline 69
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response = requests.get(url, headers=headers, timeout=30) - Access to secretsline 86
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response = requests.get(image_url, timeout=60) - Access to secretsline 158
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multi-agent-image/scripts/install.py
multi-agent-image/scripts/interactive_run.py
- Executable scriptline 1
#!/usr/bin/env python3
multi-agent-image/scripts/orchestrator_v2.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 39
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[Credential-related source omitted] - Network accessline 54
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url = "https://api.apimart.ai/v1/images/generations" - Access to secretsline 152
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try: resp = requests.post(url, headers=headers, json=data, timeout=30) - Network accessline 168
resp = requests.post(url, headers=headers, json=data, timeout=30) - Network accessline 182
for attempt in range(1, 25): query = requests.get(f"https://api.apimart.ai/v1/tasks/{task_id}", headers=headers, timeout=30) - Network accessline 183
query = requests.get(f"https://api.apimart.ai/v1/tasks/{task_id}", headers=headers, timeout=30) - Network accessline 203
try: log("图片生成引擎", "🖼<U+FE0F>", f" 📥 下载中... (attempt {attempt})") img_resp = requests.get(image_url, stream=True, timeout=300) - Network accessline 204
log("图片生成引擎", "🖼<U+FE0F>", f" 📥 下载中... (attempt {attempt})") img_resp = requests.get(image_url, stream=True, timeout=300) img_resp.raise_for_status() - Network accessline 205
img_resp = requests.get(image_url, stream=True, timeout=300)
multi-agent-image/scripts/quick_start.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 24
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[Credential-related source omitted] - Access to secretsline 106
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multi-agent-image/scripts/series_generator.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 54
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[Credential-related source omitted] - Network accessline 265
url = "https://api.apimart.ai/v1/images/generations" - Access to secretsline 267
[Credential-related source omitted] - Network accessline 277
try: resp = requests.post(url, headers=headers, json=data, timeout=30) - Network accessline 278
resp = requests.post(url, headers=headers, json=data, timeout=30) - Network accessline 288
time.sleep(12) for attempt in range(1, 25): q = requests.get(f"https://api.apimart.ai/v1/tasks/{task_id}", headers=headers, timeout=30) - Network accessline 289
for attempt in range(1, 25): q = requests.get(f"https://api.apimart.ai/v1/tasks/{task_id}", headers=headers, timeout=30) qdata = q.json() - Network accessline 290
q = requests.get(f"https://api.apimart.ai/v1/tasks/{task_id}", headers=headers, timeout=30) - Network accessline 307
for dl_attempt in range(1, 4): try: img_resp = requests.get(image_url, stream=True, timeout=300) - Network accessline 308
try: img_resp = requests.get(image_url, stream=True, timeout=300) img_resp.raise_for_status() - Network accessline 309
img_resp = requests.get(image_url, stream=True, timeout=300)
multi-agent-image/templates/linear_batch.py
- Executable scriptline 1
#!/usr/bin/env python3
scroll-promo-site-builder/SKILL.md
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Its scroll-scrubbing, rendered-boundary-frame, connector, and short-GOP media workflow was developed with reference to [oso95/scroll-world](https://github.com/oso95/scroll-world), which is available under the MIT License. This package is a
scroll-promo-site-builder/THIRD_PARTY_NOTICES.md
- Network accessline 5
`scroll-promo-site-builder` was developed with reference to the scroll-scrubbing, rendered-boundary-frame connector, and short-GOP media workflow documented by [`oso95/scroll-world`](https://github.com/oso95/scroll-world). - Network accessline 7
- Upstream repository: https://github.com/oso95/scroll-world
scroll-promo-site-builder/assets/handoff-templates/start-mac.command
- Executable scriptline 1
#!/bin/zsh - Network accessline 7
fi if [ ! -d node_modules ]; then npm install || exit 1; fi (sleep 3; open "http://localhost:5173") & - Network accessline 8
if [ ! -d node_modules ]; then npm install || exit 1; fi (sleep 3; open "http://localhost:5173") & npm run dev - Network accessline 9
(sleep 3; open "http://localhost:5173") &
scroll-promo-site-builder/assets/handoff-templates/start-windows.bat
- Executable scriptline 1
Executable file - Network accessline 9
if not exist node_modules call npm install if errorlevel 1 exit /b 1 start "" "http://localhost:5173" - Network accessline 10
if errorlevel 1 exit /b 1 start "" "http://localhost:5173" call npm run dev - Network accessline 11
start "" "http://localhost:5173"
scroll-promo-site-builder/assets/handoff-templates/预览说明.md
- Network accessline 25
浏览器访问终端显示的 Local URL，默认通常为 `http://localhost:5173`。
scroll-promo-site-builder/assets/site-template/package.json
- Executable scriptline 1
Executable file
scroll-promo-site-builder/assets/site-template/src/App.tsx
- Executable scriptline 1
Executable file
scroll-promo-site-builder/assets/site-template/src/main.tsx
- Executable scriptline 1
Executable file
scroll-promo-site-builder/assets/site-template/src/scenes.ts
- Executable scriptline 1
Executable file
scroll-promo-site-builder/assets/site-template/vite.config.ts
- Executable scriptline 1
Executable file
scroll-promo-site-builder/scripts/build_review_sequence.py
- Executable scriptline 1
#!/usr/bin/env python3
scroll-promo-site-builder/scripts/encode_web_video.sh
- Executable scriptline 1
#!/bin/sh
scroll-promo-site-builder/scripts/extract_boundary_frames.sh
- Executable scriptline 1
#!/usr/bin/env bash
scroll-promo-site-builder/scripts/make_contact_sheet.sh
- Executable scriptline 1
#!/bin/sh
scroll-promo-site-builder/scripts/package_local_preview.sh
scroll-promo-site-builder/scripts/probe_videos.py
- Executable scriptline 1
#!/usr/bin/env python3
task-harness/SKILL.md
- Network accessline 13
基于 [Effective harnesses for long-running agents](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents) 方法论。
task-harness/references/methodology.md
- Network accessline 174
- [Effective harnesses for long-running agents](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents) — Anthropic 官方方法论文章
task-harness/references/templates/init.sh
- Executable scriptline 1
#!/bin/bash
task-harness/references/templates/task.json
- Network accessline 4
"created": "{{YYYY-MM-DD}}", "updated": "{{YYYY-MM-DD}}", "methodology": "Effective harnesses for long-running agents (https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents)", - Network accessline 5
"updated": "{{YYYY-MM-DD}}", "methodology": "Effective harnesses for long-running agents (https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents)", "description": "{{项目描述}}", - Network accessline 6
"methodology": "Effective harnesses for long-running agents (https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents)",
twitter-monitor/SKILL.md
twitter-monitor/assets/accounts.example.json
twitter-monitor/assets/env.example
- Access to secretsline 1
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twitter-monitor/references/scheduling.md
- Access to secretsline 7
[Credential-related source omitted]
twitter-monitor/references/twitterapi-setup.md
- Access to secretsline 8
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twitter-monitor/scripts/twitter_monitor.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 22
API_BASE = "https://api.twitterapi.io/twitter/tweet/advanced_search" - Network accessline 130
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query = urllib.parse.urlencode(params) request = urllib.request.Request( f"{url}?{query}", - Network accessline 132
request = urllib.request.Request( - Network accessline 134
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) with urllib.request.urlopen(request, timeout=timeout) as response: return json.loads(response.read().decode("utf-8")) - Network accessline 136
with urllib.request.urlopen(request, timeout=timeout) as response: - Access to secretsline 140
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"推文内容": tweet.get("text", ""), "日期": parse_tweet_time(tweet.get("createdAt")), "推文链接": f"https://x.com/{account}/status/{tweet_id}" if tweet_id else "", - Network accessline 179
"日期": parse_tweet_time(tweet.get("createdAt")), "推文链接": f"https://x.com/{account}/status/{tweet_id}" if tweet_id else "", "推文ID": tweet_id, - Network accessline 180
"推文链接": f"https://x.com/{account}/status/{tweet_id}" if tweet_id else "", - Access to secretsline 227
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video-downloader/SKILL.md
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[Credential-related source omitted] - Network accessline 72
- Responses endpoint: `https://ark.cn-beijing.volces.com/api/v3/responses` - Network accessline 73
- Files endpoint: `https://ark.cn-beijing.volces.com/api/v3/files` - Access to secretsline 76
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"role": "user", "content": [ {"type": "input_image", "image_url": "https://example.com/frame.jpg"}, - Network accessline 98
"content": [ {"type": "input_image", "image_url": "https://example.com/frame.jpg"}, {"type": "input_text", "text": "请描述画面中的可见事实和屏幕文字。"} - Network accessline 99
{"type": "input_image", "image_url": "https://example.com/frame.jpg"}, - Network accessline 121
- [Volcano Ark video understanding](https://www.volcengine.com/docs/82379/1895586?lang=zh) - Network accessline 122
- [Volcano VEADK Responses API and Files API](https://volcengine.github.io/veadk-python/cn/docs/framework/agent/responses-api/) - Network accessline 123
- [Official Python SDK `ResponseInputVideoParam`](https://github.com/volcengine/volcengine-python-sdk/blob/master/volcenginesdkarkruntime/types/responses/response_input_video_param.py) - Access to secretsline 125
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Select LongCat explicitly with `--vision longcat`. The implementation uses the OpenAI-compatible endpoint `POST https://api.longcat.ai/openai/v1/chat/completions` and defaults both image/text selection and video analysis to `LongCat-2.5`. - Access to secretsline 134
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LongCat accepts video only through a reachable HTTP(S) URL. For a local full-video proxy or Agent-selected clip, this skill uploads the prepared MP4 to Uguu with `POST https://uguu.se/upload`, reads the returned `https://...` URL, and sends - Network accessline 153
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python3 scripts/download_video.py "https://www.youtube.com/watch?v=..." \ - Access to secretsline 180
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python3 scripts/download_video.py "https://v.douyin.com/..." \ - Access to secretsline 321
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[Credential-related source omitted] - Network accessline 393
The designated model is **`FunAudioLLM/SenseVoiceSmall`**. As verified on 2026-09-07, the [official price page](https://siliconflow.cn/pricing) lists it as free; free does not mean unlimited throughput or guaranteed latency. Do not silently - Network accessline 416
Official references: [SiliconFlow transcription API](https://docs.siliconflow.cn/docs/api/audio-transcriptions-post), [Ark reasoning configuration](https://www.volcengine.com/docs/82379/1795150). - Network accessline 425
export WX_CHANNELS_API_URL="https://your-parser.example/api/channels/parse_sph" - Access to secretsline 426
[Credential-related source omitted] - Network accessline 428
python3 scripts/download_video.py "https://weixin.qq.com/sph/..." \ - Network accessline 439
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python3 scripts/download_video.py "https://weixin.qq.com/sph/..." \ - Network accessline 452
python3 scripts/download_video.py "https://weixin.qq.com/sph/..." \ - Access to secretsline 487
[Credential-related source omitted] - Access to secretsline 488
[Credential-related source omitted]
video-downloader/THIRD_PARTY_NOTICES.md
- Network accessline 7
- Project: `ltaoo/wx_channels_download` - Source: https://github.com/ltaoo/wx_channels_download - Network accessline 8
- Source: https://github.com/ltaoo/wx_channels_download - Network accessline 10
- License: https://github.com/ltaoo/wx_channels_download/blob/aa32919817b89792147614b31a18421b4c91062d/LICENSE
video-downloader/scripts/artifact_metadata.py
- Executable scriptline 1
Executable file
video-downloader/scripts/asr.py
- Executable scriptline 1
Executable file - Network accessline 18
SILICONFLOW_TRANSCRIPTION_URL = "https://api.siliconflow.cn/v1/audio/transcriptions" - Access to secretsline 35
[Credential-related source omitted] - Access to secretsline 45
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[Credential-related source omitted]
video-downloader/scripts/asr_chunks.py
- Executable scriptline 1
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video-downloader/scripts/asr_config.py
- Executable scriptline 1
Executable file - Access to secretsline 13
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[Credential-related source omitted]
video-downloader/scripts/download_video.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 143
[Credential-related source omitted] - Access to secretsline 144
[Credential-related source omitted] - Network accessline 302
progress(f'下载与字幕检查：优先 {args.download_quality}') stage_started = time.monotonic() result = provider.fetch( - Network accessline 303
stage_started = time.monotonic() result = provider.fetch( args.source, - Network accessline 304
result = provider.fetch( - Access to secretsline 337
[Credential-related source omitted]
video-downloader/scripts/media_probe.py
- Executable scriptline 1
Executable file
video-downloader/scripts/providers/__init__.py
- Executable scriptline 1
Executable file
video-downloader/scripts/providers/bilibili.py
video-downloader/scripts/providers/douyin.py
- Executable scriptline 1
Executable file - Network accessline 27
HEADERS = { "User-Agent": MOBILE_UA, "Referer": "https://www.iesdouyin.com/", - Network accessline 28
"User-Agent": MOBILE_UA, "Referer": "https://www.iesdouyin.com/", } - Network accessline 29
"Referer": "https://www.iesdouyin.com/", - Network accessline 38
def fetch(url: str, output_root: Path, *, metadata_only: bool = False, **options) -> dict: - Network accessline 113
"method": download_method, "primary_route_failed": bool(download_error), "endpoint": "https://aweme.snssdk.com/aweme/v1/play/" - Network accessline 114
"primary_route_failed": bool(download_error), "endpoint": "https://aweme.snssdk.com/aweme/v1/play/" if download_method == "douyin_h5_nowm" - Network accessline 115
"endpoint": "https://aweme.snssdk.com/aweme/v1/play/" - Access to secretsline 250
[Credential-related source omitted] - Access to secretsline 272
[Credential-related source omitted] - Network accessline 395
def _build_nowm_url(video_resource_id: str, ratio: str) -> str: return ( "https://aweme.snssdk.com/aweme/v1/play/" - Network accessline 396
return ( "https://aweme.snssdk.com/aweme/v1/play/" f"?video_id={video_resource_id}&ratio={ratio}&line=0" - Network accessline 397
"https://aweme.snssdk.com/aweme/v1/play/"
video-downloader/scripts/providers/local_file.py
video-downloader/scripts/providers/media_options.py
- Executable scriptline 1
Executable file
video-downloader/scripts/providers/safety.py
- Executable scriptline 1
Executable file
video-downloader/scripts/providers/wechat_channels.py
- Executable scriptline 1
Executable file - Network accessline 22
PLATFORM = "wechat_channels" YUANBAO_PARSE_URL = "https://yuanbao.tencent.com/api/weixin/get_parse_result" - Network accessline 23
YUANBAO_PARSE_URL = "https://yuanbao.tencent.com/api/weixin/get_parse_result" - Network accessline 24
YUANBAO_HOME_URL = "https://yuanbao.tencent.com/" - Network accessline 25
CHANNELS_FEED_URL = "https://channels.weixin.qq.com/finder-preview/api/feed/get_feed_info" - Network accessline 48
def fetch(url: str, output_root: Path, *, metadata_only: bool = False, **options) -> dict: - Access to secretsline 49
[Credential-related source omitted] - Access to secretsline 50
[Credential-related source omitted] - Access to secretsline 56
[Credential-related source omitted] - Access to secretsline 68
[Credential-related source omitted] - Access to secretsline 73
[Credential-related source omitted] - Access to secretsline 77
[Credential-related source omitted] - Access to secretsline 83
[Credential-related source omitted] - Network accessline 264
) referer = ( "https://channels.weixin.qq.com/finder-preview/pages/feed" - Network accessline 265
referer = ( "https://channels.weixin.qq.com/finder-preview/pages/feed" "?entry_card_type=48&comment_scene=39&appid=0" - Network accessline 266
"https://channels.weixin.qq.com/finder-preview/pages/feed" - Network accessline 277
**_api_headers(), "Content-Type": "application/json", "Origin": "https://channels.weixin.qq.com", - Network accessline 278
"Content-Type": "application/json", "Origin": "https://channels.weixin.qq.com", "Referer": referer, - Network accessline 279
"Origin": "https://channels.weixin.qq.com", - Access to secretsline 382
[Credential-related source omitted] - Access to secretsline 383
[Credential-related source omitted] - Access to secretsline 425
[Credential-related source omitted] - Access to secretsline 428
[Credential-related source omitted] - Access to secretsline 434
[Credential-related source omitted] - Access to secretsline 437
[Credential-related source omitted] - Network accessline 559
headers={ "User-Agent": USER_AGENT, "Referer": "https://channels.weixin.qq.com/", - Network accessline 560
"User-Agent": USER_AGENT, "Referer": "https://channels.weixin.qq.com/", }, - Network accessline 561
"Referer": "https://channels.weixin.qq.com/", - Network accessline 696
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8", "Content-Type": "application/json", "Origin": "https://yuanbao.tencent.com", - Network accessline 697
"Content-Type": "application/json", "Origin": "https://yuanbao.tencent.com", "Referer": "https://yuanbao.tencent.com/", - Network accessline 698
"Origin": "https://yuanbao.tencent.com", - Network accessline 699
"Referer": "https://yuanbao.tencent.com/",
video-downloader/scripts/providers/xiaohongshu.py
video-downloader/scripts/providers/youtube.py
video-downloader/scripts/subtitles.py
- Executable scriptline 1
Executable file
video-downloader/scripts/text_renderer.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/__init__.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/cache.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/clip_selector.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/clipper.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/doubao.py
- Executable scriptline 1
Executable file - Network accessline 22
DOUBAO_RESPONSES_URL = "https://ark.cn-beijing.volces.com/api/v3/responses" - Network accessline 23
DOUBAO_FILES_URL = "https://ark.cn-beijing.volces.com/api/v3/files" - Access to secretsline 39
[Credential-related source omitted] - Access to secretsline 40
[Credential-related source omitted] - Access to secretsline 41
[Credential-related source omitted] - Access to secretsline 51
[Credential-related source omitted] - Access to secretsline 71
[Credential-related source omitted] - Access to secretsline 88
[Credential-related source omitted] - Access to secretsline 102
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[Credential-related source omitted] - Access to secretsline 118
[Credential-related source omitted] - Access to secretsline 141
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[Credential-related source omitted] - Access to secretsline 143
[Credential-related source omitted] - Access to secretsline 160
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[Credential-related source omitted] - Access to secretsline 236
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[Credential-related source omitted] - Access to secretsline 265
[Credential-related source omitted] - Access to secretsline 277
[Credential-related source omitted] - Access to secretsline 308
[Credential-related source omitted] - Access to secretsline 329
[Credential-related source omitted] - Access to secretsline 344
[Credential-related source omitted] - Access to secretsline 358
[Credential-related source omitted] - Access to secretsline 366
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[Credential-related source omitted] - Access to secretsline 375
[Credential-related source omitted] - Access to secretsline 378
[Credential-related source omitted] - Access to secretsline 388
[Credential-related source omitted] - Access to secretsline 403
[Credential-related source omitted] - Access to secretsline 555
[Credential-related source omitted] - Access to secretsline 559
[Credential-related source omitted]
video-downloader/scripts/vision/frame_sampler.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/interaction.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/longcat.py
- Executable scriptline 1
Executable file - Network accessline 33
LONGCAT_CHAT_URL = "https://api.longcat.ai/openai/v1/chat/completions" - Network accessline 34
UGUU_UPLOAD_URL = "https://uguu.se/upload" - Access to secretsline 51
[Credential-related source omitted] - Access to secretsline 72
[Credential-related source omitted] - Access to secretsline 101
[Credential-related source omitted] - Access to secretsline 126
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[Credential-related source omitted] - Access to secretsline 403
[Credential-related source omitted]
video-downloader/scripts/vision/pipeline.py
- Executable scriptline 1
Executable file - Access to secretsline 63
[Credential-related source omitted] - Access to secretsline 64
[Credential-related source omitted] - Access to secretsline 81
[Credential-related source omitted] - Access to secretsline 719
[Credential-related source omitted] - Access to secretsline 720
[Credential-related source omitted] - Access to secretsline 724
[Credential-related source omitted]
video-downloader/scripts/vision/planner.py
- Executable scriptline 1
Executable file
video-downloader/scripts/vision/video_preparer.py
- Executable scriptline 1
Executable file
viral-title/references/title-library/wechat-public-account-hot-titles.json
- Network accessline 37
"hotness": 34959, "article_id": "72696339", "url": "https://mp.weixin.qq.com/s?__biz=MjI3Njc0NTk4MQ==&mid=2650603459&idx=1&sn=b88863f55da4ddf35907aae2e3f56b45&chksm=b6df63dba98c4530a72c6ce08daf5382e4f67c50a00b66476fc53cebb83a8a1 - Network accessline 38
"article_id": "72696339", "url": "https://mp.weixin.qq.com/s?__biz=MjI3Njc0NTk4MQ==&mid=2650603459&idx=1&sn=b88863f55da4ddf35907aae2e3f56b45&chksm=b6df63dba98c4530a72c6ce08daf5382e4f67c50a00b66476fc53cebb83a8a178f85d8a75ebd&scene=0&xt - Network accessline 39
"url": "https://mp.weixin.qq.com/s?__biz=MjI3Njc0NTk4MQ==&mid=2650603459&idx=1&sn=b88863f55da4ddf35907aae2e3f56b45&chksm=b6df63dba98c4530a72c6ce08daf5382e4f67c50a00b66476fc53cebb83a8a178f85d8a75ebd&scene=0&xtrack=1#rd", - Network accessline 55
"hotness": 34477, "article_id": "72700687", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706810&idx=1&sn=2ac31438f0580eff8394cc218a30d09a&chksm=f0e9816e593f82b7da801f4728fde06d5a891d4daeafd69fe6d011108700d421 - Network accessline 56
"article_id": "72700687", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706810&idx=1&sn=2ac31438f0580eff8394cc218a30d09a&chksm=f0e9816e593f82b7da801f4728fde06d5a891d4daeafd69fe6d011108700d421d76e480e409e&scene=126&s - Network accessline 57
"url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706810&idx=1&sn=2ac31438f0580eff8394cc218a30d09a&chksm=f0e9816e593f82b7da801f4728fde06d5a891d4daeafd69fe6d011108700d421d76e480e409e&scene=126&sessionid=0#rd", - Network accessline 74
"hotness": 33109, "article_id": "72687488", "url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567308&idx=1&sn=419bbce6f91c7855ed414b83179accba&chksm=ea54480d43f64543e8df2feb5b21e7b0ee3b2158e947e886335e700f91aa4a8 - Network accessline 75
"article_id": "72687488", "url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567308&idx=1&sn=419bbce6f91c7855ed414b83179accba&chksm=ea54480d43f64543e8df2feb5b21e7b0ee3b2158e947e886335e700f91aa4a84f3f519e20b8a&scene=0&xt - Network accessline 76
"url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567308&idx=1&sn=419bbce6f91c7855ed414b83179accba&chksm=ea54480d43f64543e8df2feb5b21e7b0ee3b2158e947e886335e700f91aa4a84f3f519e20b8a&scene=0&xtrack=1#rd", - Network accessline 93
"hotness": 32762, "article_id": "72641945", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706141&idx=1&sn=c1c37912c46a8b1e38de77d5eb46158d&chksm=f058ce92df061f17f817a2d019928bec6cb0955771fd9648f8d0be563a65fb81 - Network accessline 94
"article_id": "72641945", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706141&idx=1&sn=c1c37912c46a8b1e38de77d5eb46158d&chksm=f058ce92df061f17f817a2d019928bec6cb0955771fd9648f8d0be563a65fb81d355ce43c63a&scene=126&s - Network accessline 95
"url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706141&idx=1&sn=c1c37912c46a8b1e38de77d5eb46158d&chksm=f058ce92df061f17f817a2d019928bec6cb0955771fd9648f8d0be563a65fb81d355ce43c63a&scene=126&sessionid=0#rd", - Network accessline 112
"hotness": 32875, "article_id": "72709515", "url": "http://mp.weixin.qq.com/s?__biz=MzA4MzI4MjExMA==&mid=2652636998&idx=1&sn=27f87ab08f980d4d30bec6739de23e9f&chksm=85574cc007790aa85cd1f3fc88ddf98d419aab9cce665b5abec559dfc22a4f18 - Network accessline 113
"article_id": "72709515", "url": "http://mp.weixin.qq.com/s?__biz=MzA4MzI4MjExMA==&mid=2652636998&idx=1&sn=27f87ab08f980d4d30bec6739de23e9f&chksm=85574cc007790aa85cd1f3fc88ddf98d419aab9cce665b5abec559dfc22a4f181920fd5b08d8&scene=126&s - Network accessline 114
"url": "http://mp.weixin.qq.com/s?__biz=MzA4MzI4MjExMA==&mid=2652636998&idx=1&sn=27f87ab08f980d4d30bec6739de23e9f&chksm=85574cc007790aa85cd1f3fc88ddf98d419aab9cce665b5abec559dfc22a4f181920fd5b08d8&scene=126&sessionid=0#rd", - Network accessline 132
"hotness": 30195, "article_id": "72703306", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MTM3NTMwNA==&mid=2661751151&idx=1&sn=56f19c9faa504f11ae2219308837b52e&chksm=bcaf87c87566f0c8ebb0e2a8175972b5a2d0076d631dc17c9ef987139de5a77 - Network accessline 133
"article_id": "72703306", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MTM3NTMwNA==&mid=2661751151&idx=1&sn=56f19c9faa504f11ae2219308837b52e&chksm=bcaf87c87566f0c8ebb0e2a8175972b5a2d0076d631dc17c9ef987139de5a77b3c62ada53507&scene=0&xt - Network accessline 134
"url": "https://mp.weixin.qq.com/s?__biz=MjM5MTM3NTMwNA==&mid=2661751151&idx=1&sn=56f19c9faa504f11ae2219308837b52e&chksm=bcaf87c87566f0c8ebb0e2a8175972b5a2d0076d631dc17c9ef987139de5a77b3c62ada53507&scene=0&xtrack=1#rd", - Network accessline 150
"hotness": 28481, "article_id": "72602425", "url": "http://mp.weixin.qq.com/s?__biz=MzUxNjg4NDEzNA==&mid=2247534361&idx=1&sn=816cfaa082f2a41f23f65eea2123ebe8&chksm=f8c99dbd1dd92d21cf2fa5553fa3009c399b3fb705058f1847b7965e4c2a579a - Network accessline 151
"article_id": "72602425", "url": "http://mp.weixin.qq.com/s?__biz=MzUxNjg4NDEzNA==&mid=2247534361&idx=1&sn=816cfaa082f2a41f23f65eea2123ebe8&chksm=f8c99dbd1dd92d21cf2fa5553fa3009c399b3fb705058f1847b7965e4c2a579ab223677e04f8&scene=126&s - Network accessline 152
"url": "http://mp.weixin.qq.com/s?__biz=MzUxNjg4NDEzNA==&mid=2247534361&idx=1&sn=816cfaa082f2a41f23f65eea2123ebe8&chksm=f8c99dbd1dd92d21cf2fa5553fa3009c399b3fb705058f1847b7965e4c2a579ab223677e04f8&scene=126&sessionid=0#rd", - Network accessline 168
"hotness": 28080, "article_id": "72685290", "url": "https://mp.weixin.qq.com/s?__biz=MzA3OTE0MjQzMw==&mid=2652037134&idx=1&sn=c5fadad66f8761f26a0e296dce84e242&chksm=858904e18b14e7ad0477e81336f59910e237577057c20e8e90c394d57756935 - Network accessline 169
"article_id": "72685290", "url": "https://mp.weixin.qq.com/s?__biz=MzA3OTE0MjQzMw==&mid=2652037134&idx=1&sn=c5fadad66f8761f26a0e296dce84e242&chksm=858904e18b14e7ad0477e81336f59910e237577057c20e8e90c394d5775693549b5c37573871&scene=0&xt - Network accessline 170
"url": "https://mp.weixin.qq.com/s?__biz=MzA3OTE0MjQzMw==&mid=2652037134&idx=1&sn=c5fadad66f8761f26a0e296dce84e242&chksm=858904e18b14e7ad0477e81336f59910e237577057c20e8e90c394d5775693549b5c37573871&scene=0&xtrack=1#rd", - Network accessline 188
"hotness": 26913, "article_id": "72686062", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706641&idx=1&sn=431e283d13a65020d9264fc56e27efd8&chksm=f0572c67ff7f2b409955da716e72de9b1c0f21f5c46f6b8f5e67dd9cfe6bdeba - Network accessline 189
"article_id": "72686062", "url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706641&idx=1&sn=431e283d13a65020d9264fc56e27efd8&chksm=f0572c67ff7f2b409955da716e72de9b1c0f21f5c46f6b8f5e67dd9cfe6bdebac19d5acf050b&scene=126&s - Network accessline 190
"url": "http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652706641&idx=1&sn=431e283d13a65020d9264fc56e27efd8&chksm=f0572c67ff7f2b409955da716e72de9b1c0f21f5c46f6b8f5e67dd9cfe6bdebac19d5acf050b&scene=126&sessionid=0#rd", - Network accessline 207
"hotness": 24082, "article_id": "72692290", "url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567336&idx=1&sn=21f8bc631ccabb35e77a594ef34771e1&chksm=eabbdf457bdc7341b862d3f9efa21bcfbcd984678c8c4b8d027703eef597a37 - Network accessline 208
"article_id": "72692290", "url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567336&idx=1&sn=21f8bc631ccabb35e77a594ef34771e1&chksm=eabbdf457bdc7341b862d3f9efa21bcfbcd984678c8c4b8d027703eef597a3729e25b064edbe&scene=0&xt - Network accessline 209
"url": "https://mp.weixin.qq.com/s?__biz=MzI4NjYzMTM4MA==&mid=2247567336&idx=1&sn=21f8bc631ccabb35e77a594ef34771e1&chksm=eabbdf457bdc7341b862d3f9efa21bcfbcd984678c8c4b8d027703eef597a3729e25b064edbe&scene=0&xtrack=1#rd", - Network accessline 225
"hotness": 24067, "article_id": "72670709", "url": "https://mp.weixin.qq.com/s?__biz=MjM5ODAxODQ0MA==&mid=2651408438&idx=1&sn=869c0d787f6d023de404480abca04bae&chksm=bc852c9b58ad5e7ec59412af38d4499a13ffb3ec16ec0624b47d71ce6acb71a - Network accessline 226
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"hotness": 1471, "article_id": "72669373", "url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577352&idx=1&sn=a73c9d4cf4ebff0133bf3d101425c59a&chksm=e9e0ff060065532adeac29efd1512e0e5e618f1f887e29ce73fae8b449d50f17 - Network accessline 7264
"article_id": "72669373", "url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577352&idx=1&sn=a73c9d4cf4ebff0133bf3d101425c59a&chksm=e9e0ff060065532adeac29efd1512e0e5e618f1f887e29ce73fae8b449d50f1760c932a8bd66&scene=0&xt - Network accessline 7265
"url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577352&idx=1&sn=a73c9d4cf4ebff0133bf3d101425c59a&chksm=e9e0ff060065532adeac29efd1512e0e5e618f1f887e29ce73fae8b449d50f1760c932a8bd66&scene=0&xtrack=1#rd", - Network accessline 7283
"hotness": 1465, "article_id": "72702070", "url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577342&idx=1&sn=ce86e69e4ff264bc157dc0be1b6844fe&chksm=e9bf070509f9dc3b019e426b468d564d811bbaf998e9c31ec43d48d5d3bc14b8 - Network accessline 7284
"article_id": "72702070", "url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577342&idx=1&sn=ce86e69e4ff264bc157dc0be1b6844fe&chksm=e9bf070509f9dc3b019e426b468d564d811bbaf998e9c31ec43d48d5d3bc14b88b5e87e8dc2c&scene=0&xt - Network accessline 7285
"url": "https://mp.weixin.qq.com/s?__biz=MzIyODY4MDM0Ng==&mid=2247577342&idx=1&sn=ce86e69e4ff264bc157dc0be1b6844fe&chksm=e9bf070509f9dc3b019e426b468d564d811bbaf998e9c31ec43d48d5d3bc14b88b5e87e8dc2c&scene=0&xtrack=1#rd", - Network accessline 7302
"hotness": 1527, "article_id": "72681222", "url": "https://mp.weixin.qq.com/s?__biz=MzYzMzMyNTg0NA==&mid=2247488578&idx=1&sn=1dff262e133fb3b61ffb3434eb1607c3&chksm=f16253f81ffd8815a79b360ad2223ce2be54688d1e869e2d7bab65e12994edf2 - Network accessline 7303
"article_id": "72681222", "url": "https://mp.weixin.qq.com/s?__biz=MzYzMzMyNTg0NA==&mid=2247488578&idx=1&sn=1dff262e133fb3b61ffb3434eb1607c3&chksm=f16253f81ffd8815a79b360ad2223ce2be54688d1e869e2d7bab65e12994edf25590fcfe34a8&scene=0&xt - Network accessline 7304
"url": "https://mp.weixin.qq.com/s?__biz=MzYzMzMyNTg0NA==&mid=2247488578&idx=1&sn=1dff262e133fb3b61ffb3434eb1607c3&chksm=f16253f81ffd8815a79b360ad2223ce2be54688d1e869e2d7bab65e12994edf25590fcfe34a8&scene=0&xtrack=1#rd",
viral-title/scripts/analyze_feedback.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-title/scripts/log_feedback.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-title/scripts/log_title_session.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-title/scripts/mechanism_lib.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-title/scripts/retrieve_title_examples.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-title/scripts/run_title_evals.py
- Executable scriptline 1
#!/usr/bin/env python3
viral-topic/bilibili-viral-topic/references/rate_limits.md
viral-topic/bilibili-viral-topic/scripts/search_bilibili_viral_topic.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 22
BASE = "https://api.bilibili.com" - Network accessline 109
def make_session() -> requests.Session: session = requests.Session() - Network accessline 110
session = requests.Session() - Network accessline 114
"Accept-Encoding": "gzip, deflate", "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8", "Origin": "https://www.bilibili.com", - Network accessline 115
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8", "Origin": "https://www.bilibili.com", "Connection": "keep-alive", - Network accessline 116
"Origin": "https://www.bilibili.com", - Network accessline 156
"content_id": str(item.get("bvid") or item.get("aid") or ""), "aid": str(item.get("aid") or item.get("id") or ""), "url": f"https://www.bilibili.com/video/{item.get('bvid')}" if item.get("bvid") else str(item.get("arcurl") o - Network accessline 157
"aid": str(item.get("aid") or item.get("id") or ""), "url": f"https://www.bilibili.com/video/{item.get('bvid')}" if item.get("bvid") else str(item.get("arcurl") or ""), "title": strip_html(item.get("title")), - Network accessline 158
"url": f"https://www.bilibili.com/video/{item.get('bvid')}" if item.get("bvid") else str(item.get("arcurl") or ""), - Network accessline 185
"content_id": bvid or str(item.get("aid") or ""), "aid": str(item.get("aid") or ""), "url": f"https://www.bilibili.com/video/{bvid}" if bvid else "", - Network accessline 186
"aid": str(item.get("aid") or ""), "url": f"https://www.bilibili.com/video/{bvid}" if bvid else "", "title": strip_html(item.get("title")), - Network accessline 187
"url": f"https://www.bilibili.com/video/{bvid}" if bvid else "", - Network accessline 225
"/x/web-interface/search/type", params, "https://search.bilibili.com/video?keyword=" - Network accessline 226
params, "https://search.bilibili.com/video?keyword=" + urllib.parse.quote(keyword, safe=""), - Network accessline 227
"https://search.bilibili.com/video?keyword=" + urllib.parse.quote(keyword, safe=""), args, - Network accessline 256
"/x/web-interface/ranking/v2", {"rid": rid, "type": "all"}, "https://www.bilibili.com/v/popular/rank/all", - Network accessline 257
{"rid": rid, "type": "all"}, "https://www.bilibili.com/v/popular/rank/all", args, - Network accessline 258
"https://www.bilibili.com/v/popular/rank/all", - Network accessline 310
"/x/relation/stat", {"vmid": mid}, f"https://space.bilibili.com/{mid}", - Network accessline 311
{"vmid": mid}, f"https://space.bilibili.com/{mid}", args, - Network accessline 312
f"https://space.bilibili.com/{mid}",
viral-topic/wechat-viral-topic/SKILL.md
viral-topic/wechat-viral-topic/scripts/search_wechat_viral_topic.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 36
[Credential-related source omitted] - Access to secretsline 38
[Credential-related source omitted] - Access to secretsline 74
[Credential-related source omitted] - Network accessline 140
def post_json(url: str, body: dict[str, Any], timeout: int = 30) -> dict[str, Any]: payload = json.dumps(body, ensure_ascii=False).encode("utf-8") request = urllib.request.Request( - Network accessline 141
payload = json.dumps(body, ensure_ascii=False).encode("utf-8") request = urllib.request.Request( url, - Network accessline 142
request = urllib.request.Request( - Network accessline 151
) try: with urllib.request.urlopen(request, timeout=timeout) as response: - Network accessline 152
try: with urllib.request.urlopen(request, timeout=timeout) as response: data = response.read().decode("utf-8") - Network accessline 153
with urllib.request.urlopen(request, timeout=timeout) as response: - Access to secretsline 161
[Credential-related source omitted] - Access to secretsline 162
[Credential-related source omitted] - Access to secretsline 163
[Credential-related source omitted] - Access to secretsline 165
[Credential-related source omitted] - Access to secretsline 170
[Credential-related source omitted] - Access to secretsline 172
[Credential-related source omitted] - Access to secretsline 194
[Credential-related source omitted] - Access to secretsline 206
[Credential-related source omitted] - Access to secretsline 232
[Credential-related source omitted] - Access to secretsline 244
[Credential-related source omitted] - Access to secretsline 260
[Credential-related source omitted] - Access to secretsline 272
[Credential-related source omitted] - Access to secretsline 395
[Credential-related source omitted] - Access to secretsline 397
[Credential-related source omitted] - Access to secretsline 398
[Credential-related source omitted] - Access to secretsline 403
[Credential-related source omitted] - Access to secretsline 406
[Credential-related source omitted]
viral-topic/x-viral-topic/SKILL.md
viral-topic/x-viral-topic/scripts/search_x_viral_topic.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 18
API_URL = "https://api.twitterapi.io/twitter/tweet/advanced_search" - Access to secretsline 33
[Credential-related source omitted] - Access to secretsline 54
[Credential-related source omitted] - Access to secretsline 55
[Credential-related source omitted] - Network accessline 97
[Credential-related source omitted] - Access to secretsline 97
[Credential-related source omitted] - Network accessline 98
params = urllib.parse.urlencode({"query": query, "queryType": query_type}) request = urllib.request.Request( f"{API_URL}?{params}", - Network accessline 99
request = urllib.request.Request( - Access to secretsline 101
[Credential-related source omitted] - Network accessline 103
) try: with urllib.request.urlopen(request, timeout=30) as response: - Network accessline 104
try: with urllib.request.urlopen(request, timeout=30) as response: data = response.read().decode("utf-8") - Network accessline 105
with urllib.request.urlopen(request, timeout=30) as response: - Network accessline 202
url = tweet.get("url") or (f"https://x.com/{handle}/status/{tid}" if handle and tid else f"https://x.com/i/web/status/{tid}") - Access to secretsline 255
[Credential-related source omitted] - Access to secretsline 256
[Credential-related source omitted] - Access to secretsline 265
[Credential-related source omitted]
viral-topic/youtube-viral-topic/SKILL.md
- Access to secretsline 21
[Credential-related source omitted]
viral-topic/youtube-viral-topic/scripts/search_youtube_viral_topic.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 19
API_BASE = "https://www.googleapis.com/youtube/v3" - Access to secretsline 34
[Credential-related source omitted] - Access to secretsline 54
[Credential-related source omitted] - Access to secretsline 55
[Credential-related source omitted] - Access to secretsline 81
[Credential-related source omitted] - Network accessline 83
[Credential-related source omitted] - Access to secretsline 83
[Credential-related source omitted] - Network accessline 84
url = f"{API_BASE}/{endpoint}?" + urllib.parse.urlencode(clean_params) request = urllib.request.Request(url, headers={"Accept": "application/json", "User-Agent": USER_AGENT}) try: - Network accessline 85
request = urllib.request.Request(url, headers={"Accept": "application/json", "User-Agent": USER_AGENT}) - Network accessline 86
try: with urllib.request.urlopen(request, timeout=30) as response: return json.loads(response.read().decode("utf-8")) - Network accessline 87
with urllib.request.urlopen(request, timeout=30) as response: - Access to secretsline 98
[Credential-related source omitted] - Access to secretsline 111
[Credential-related source omitted] - Access to secretsline 122
[Credential-related source omitted] - Access to secretsline 128
[Credential-related source omitted] - Access to secretsline 135
[Credential-related source omitted] - Access to secretsline 142
[Credential-related source omitted] - Network accessline 221
"platform": "youtube", "content_id": video_id, "url": f"https://www.youtube.com/watch?v={video_id}", - Network accessline 222
"content_id": video_id, "url": f"https://www.youtube.com/watch?v={video_id}", "title": str(snippet.get("title") or ""), - Network accessline 223
"url": f"https://www.youtube.com/watch?v={video_id}", - Access to secretsline 293
[Credential-related source omitted] - Access to secretsline 294
[Credential-related source omitted] - Access to secretsline 300
[Credential-related source omitted] - Access to secretsline 310
[Credential-related source omitted] - Access to secretsline 316
[Credential-related source omitted]
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 7 facts
- Contacts x.com, which SKILL.md, the README and the plugin manifest do not mentiontwitter-monitor/scripts/twitter_monitor.py:180High confidence
- Contacts www.iesdouyin.com, which SKILL.md, the README and the plugin manifest do not mentionvideo-downloader/scripts/providers/douyin.py:29High confidence
- Contacts aweme.snssdk.com, which SKILL.md, the README and the plugin manifest do not mentionvideo-downloader/scripts/providers/douyin.py:115High confidence
- Contacts api.bilibili.com, which SKILL.md, the README and the plugin manifest do not mentionbilibili-viral-topic/scripts/search_bilibili_viral_topic.py:22High confidence
- Contacts www.bilibili.com, which SKILL.md, the README and the plugin manifest do not mentionbilibili-viral-topic/scripts/search_bilibili_viral_topic.py:116High confidence
- Contacts search.bilibili.com, which SKILL.md, the README and the plugin manifest do not mentionbilibili-viral-topic/scripts/search_bilibili_viral_topic.py:227High confidence
- Contacts space.bilibili.com, which SKILL.md, the README and the plugin manifest do not mentionbilibili-viral-topic/scripts/search_bilibili_viral_topic.py:312High confidence
Signal confidence: 493 facts
- Network access in prose of the SKILL.mdai-article-daily/SKILL.md:14Low confidence
- Network access in prose of the SKILL.mdai-article-daily/SKILL.md:16Low confidence
- Network access in prose of the SKILL.mdai-article-daily/SKILL.md:142Low confidence
- Network access in prose of the SKILL.mdai-article-daily/SKILL.md:143Low confidence
- Access to secrets in code of the SKILL.mdapimart-image-gen/SKILL.md:17High confidence
- Network access in code of the SKILL.mdapimart-image-gen/SKILL.md:50High confidence
- Network access in code of the SKILL.mdapimart-image-gen/SKILL.md:51High confidence
- Network access in code of the SKILL.mdapimart-image-gen/SKILL.md:52High confidence
- Network access in prose of documentationapimart-image-gen/references/api.md:5Low confidence
- Network access in prose of documentationapimart-image-gen/references/api.md:6Low confidence
- Network access in prose of documentationapimart-image-gen/references/api.md:7Low confidence
- Network access in code of documentationapimart-image-gen/references/api.md:14Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueapimart-image-gen/references/api.md:15Low confidence
- Network access in code of documentationapimart-image-gen/references/api.md:26Low confidence
- Network access in code of documentationapimart-image-gen/references/api.md:27Low confidence
- Network access in code of documentationapimart-image-gen/references/api.md:28Low confidence
- Network access in code of documentationapimart-image-gen/references/api.md:54Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueapimart-image-gen/references/api.md:55Low confidence
- Executable script in code of a file that runsapimart-image-gen/scripts/apimart_image_gen.py:1High confidence
- Network access in code of a file that runsapimart-image-gen/scripts/apimart_image_gen.py:19High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueapimart-image-gen/scripts/apimart_image_gen.py:19Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueapimart-image-gen/scripts/apimart_image_gen.py:52Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueapimart-image-gen/scripts/apimart_image_gen.py:53Low confidence
- Access to secrets in code of a file that runsapimart-image-gen/scripts/apimart_image_gen.py:56High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueapimart-image-gen/scripts/apimart_image_gen.py:249Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueapimart-image-gen/scripts/apimart_image_gen.py:279Low confidence
- Executable script in code of a file that runscover-skill/scripts/validate_exports.py:1High confidence
- Executable script in code of a file that runsharness-engineering/scripts/scaffold.py:1High confidence
- Executable script in code of a file that runsharness-engineering/templates/hooks/context-injector.py:1High confidence
- Executable script in code of a file that runsharness-engineering/templates/hooks/loop-detector.py:1High confidence
- Executable script in code of a file that runsharness-engineering/templates/hooks/pre-completion-check.py:1High confidence
- Access to secrets in prose of the SKILL.mdhy-3d-gen/SKILL.md:15Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:46Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:47Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:48Low confidence
- Access to secrets in code of the SKILL.mdhy-3d-gen/SKILL.md:62High confidence
- Access to secrets in prose of the SKILL.mdhy-3d-gen/SKILL.md:65Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:71Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:75Low confidence
- Access to secrets in code of the SKILL.mdhy-3d-gen/SKILL.md:82High confidence
- Access to secrets in code of the SKILL.mdhy-3d-gen/SKILL.md:88High confidence
- Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valuehy-3d-gen/SKILL.md:95Low confidence
- Network access in code of the SKILL.mdhy-3d-gen/SKILL.md:123High confidence
- Network access in code of the SKILL.mdhy-3d-gen/SKILL.md:124High confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:135Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:136Low confidence
- Network access in prose of the SKILL.mdhy-3d-gen/SKILL.md:137Low confidence
- Network access in code of the SKILL.mdhy-3d-gen/SKILL.md:153High confidence
- Network access in code of the SKILL.mdhy-3d-gen/SKILL.md:154High confidence
- Network access in code of the SKILL.mdhy-3d-gen/SKILL.md:155High confidence
and 443 more
Only the first 500 facts are listed.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Frontmatter field disable-model-invocation in task-harness/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md apimart-image-gen/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md apimart-image-gen/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md apimart-image-gen/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md apimart-image-gen/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md apimart-image-gen/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
