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stephenlzc/AI-Powered-Literature-Review-Skills

AI驱动的系统性学术文献回顾工具 | AI-Powered Literature Survey Tool with 8-Phase Workflow & Agent Swarm Architecture

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git clone --filter=blob:none --no-checkout https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git .hotskills/stephenlzc-ai-powered-literature-review-skills && git -C .hotskills/stephenlzc-ai-powered-literature-review-skills checkout --detach b4e4c7e8834993fa517927fe6c57978192e64c21 # Copy each selected skill directory from .hotskills/stephenlzc-ai-powered-literature-review-skills into .agents/skills/<skill-name>/
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Individual skills in this repository

How it works

literature-reviewer-skill

When your agent uses it

根据用户提供的论文主题，进行系统性中英文文献回顾（Literature Survey）。 采用8阶段工作流，支持CNKI、Web of Science、ScienceDirect等主流数据库， 无需API配置，通过浏览器自动化获取文献信息。 输出包含GB/T 7714-2015引文、标题、摘要的Markdown文档。 当用户提到"文献回顾"、"文献综述"、"帮我找文献"、"中英文文献搜索"、"写综述"等关键词时触发。 NOTE: The 'examples/' folder contains sample outputs and is not included in skill installation.

What it loads into context

Frontmatter

159 tokens

Always available to the agent

SKILL.md

6,022 tokens

When the skill is activated

Reference documents

86,388 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 8阶段工作流
  2. Phase 0: Session Log（会话管理）
  3. Phase 1: Query Analysis（查询分析）
  4. Phase 2: Parallel Search（并行检索）
  5. Phase 3: Deduplication（去重筛选）
  6. Phase 4: Verification（基础验证）
  7. Phase 5: Data Export（数据导出）
  8. Phase 6: Paper Analysis（单篇文献分析）
  9. Phase 7: Citation Format（引用格式化）
  10. Phase 8: Synthesis（综述生成）

Scripts executed separately

  • Dockerfile
  • scripts/__init__.py
  • scripts/citation_formatter.py
  • scripts/deduplicate_papers.py
  • scripts/models.py

Files

  • .gitignoreasset395 bytes
  • AGENTS.mddoc13,147 bytes
  • Dockerfileruns1,430 bytes
  • LICENSEasset1,067 bytes
  • README.mddoc20,449 bytes
  • README_EN.mddoc13,602 bytes
  • SECURITY.mddoc5,206 bytes
  • SKILL.mdcore22,628 bytes
  • agents/explore-agent.mddoc4,336 bytes
  • agents/orchestrator.mddoc17,706 bytes
  • agents/synthesize-agent.mddoc12,730 bytes
  • agents/verify-agent.mddoc2,402 bytes
  • docker-compose.ymlasset3,385 bytes
  • examples/README.mddoc11,523 bytes
  • examples/example-3-ai-education/README.mddoc3,456 bytes
  • examples/example-3-ai-education/prompts/phase1-query-analysis.mddoc2,151 bytes
  • examples/example-3-ai-education/prompts/phase6-paper-analysis.mddoc4,320 bytes
  • examples/example-3-ai-education/prompts/phase8-1-outline.mddoc4,752 bytes
  • examples/example-3-ai-education/prompts/phase8-2-writing.mddoc10,105 bytes
  • examples/example-3-ai-education/prompts/phase8-3-review.mddoc6,629 bytes
  • examples/example-3-ai-education/prompts/phase8-4-final.mddoc5,726 bytes
  • examples/example-3-ai-education/sample-output/draft.mddoc10,743 bytes
  • examples/example-3-ai-education/sample-output/literature_review.mddoc13,112 bytes
  • examples/example-3-ai-education/sample-output/metadata.jsonasset1,873 bytes
  • examples/example-3-ai-education/sample-output/outline.mddoc3,653 bytes
  • examples/example-3-ai-education/sample-output/references.mddoc15,294 bytes
  • examples/example-3-ai-education/sample-output/review_report.mddoc6,496 bytes
  • examples/example-3-ai-education/sample-output/session_log.mddoc2,796 bytes
  • examples/example-4-carbon-policy/README.mddoc3,378 bytes
  • examples/example-4-carbon-policy/prompts/phase1-query-analysis.mddoc1,801 bytes
  • examples/example-4-carbon-policy/prompts/phase6-paper-analysis.mddoc1,499 bytes
  • examples/example-4-carbon-policy/prompts/phase8-1-outline.mddoc2,299 bytes
  • examples/example-4-carbon-policy/prompts/phase8-2-writing.mddoc2,080 bytes
  • examples/example-4-carbon-policy/prompts/phase8-3-review.mddoc1,754 bytes
  • examples/example-4-carbon-policy/prompts/phase8-4-final.mddoc1,685 bytes
  • examples/example-4-carbon-policy/sample-output/literature_review.mddoc11,400 bytes
  • examples/example-4-carbon-policy/sample-output/metadata.jsonasset1,628 bytes
  • examples/example-4-carbon-policy/sample-output/outline.mddoc2,217 bytes
  • examples/example-4-carbon-policy/sample-output/review_report.mddoc1,448 bytes
  • examples/example-5-uniqlo-social-media/README.mddoc4,797 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase1-query-analysis.mddoc2,151 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase6-paper-analysis.mddoc4,320 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase8-1-outline.mddoc4,752 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase8-2-writing.mddoc10,105 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase8-3-review.mddoc6,629 bytes
  • examples/example-5-uniqlo-social-media/prompts/phase8-4-final.mddoc5,726 bytes
  • examples/example-5-uniqlo-social-media/sample-output/literature_review.mddoc17,688 bytes
  • examples/example-5-uniqlo-social-media/sample-output/references_raw.mddoc9,261 bytes
  • install.yamlasset2,633 bytes
  • mcp.jsonasset5,760 bytes
  • references/cnki-guide.mddoc10,284 bytes
  • references/database-access.mddoc3,147 bytes
  • references/gb-t-7714-2015.mddoc11,102 bytes
  • scripts/__init__.pyruns519 bytes
  • scripts/citation_formatter.pyruns5,454 bytes
  • scripts/deduplicate_papers.pyruns4,940 bytes
  • scripts/models.pyruns2,694 bytes
Read SKILL.md

# 文献回顾（Literature Survey）

根据用户提供的论文主题，进行系统性的中英文文献检索、整理和综述撰写。
采用 **8阶段工作流**，无需API配置，通过浏览器自动化获取文献。

---

## 8阶段工作流

```
Phase 0: Session Log      → 创建会话目录
Phase 1: Query Analysis   → 生成中英文检索策略  
Phase 2: Parallel Search  → 浏览器自动化检索
Phase 3: Deduplication    → 标题相似度去重
View the complete source on GitHub

Skills included

  • literature-reviewer-skill

Repository facts

License
MIT
Created
Mar 5, 2026
Last pushed
Sep 7, 2026
Forks
27
Open issues
0
Project activity
Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Show all 146 signals by file

.gitignore

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AGENTS.md

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    **访问地址**：`https://kns.cnki.net/kns8/AdvSearch`
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    **访问地址**：`https://www.webofscience.com/wos/woscc/advanced-search`
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    **访问地址**：`https://www.sciencedirect.com/search`

Dockerfile

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README.md

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    <p align="left">   <img src="https://img.shields.io/badge/Kimi_CLI-1.0+-blue?style=flat-square" alt="Kimi CLI">
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    <img src="https://img.shields.io/badge/Kimi_CLI-1.0+-blue?style=flat-square" alt="Kimi CLI">
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    > > ``` > 请帮我安装 Literature Reviewer Skill。从 GitHub 仓库 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills 克隆代码，安装到 skills 目录，文件夹命名为 literature-reviewer-skill。
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    > ``` > 请帮我安装 Literature Reviewer Skill。从 GitHub 仓库 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills 克隆代码，安装到 skills 目录，文件夹命名为 literature-reviewer-skill。 > ```
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    > 请帮我安装 Literature Reviewer Skill。从 GitHub 仓库 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills 克隆代码，安装到 skills 目录，文件夹命名为 literature-reviewer-skill。
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    # 克隆仓库 git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git literature-reviewer-skill
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    git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git literature-reviewer-skill
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    # 1. 克隆仓库 git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git
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    git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git
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    mkdir -p ~/test-skills cd ~/test-skills git clone --depth 1 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git
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    符合 [Model Context Protocol](https://modelcontextprotocol.io/) 标准的配置文件，声明了：
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    | 项目 | 核心贡献 | |------|---------| | [flonat/claude-research](https://github.com/flonat/claude-research) | 8阶段工作流、引用验证、Session Log |
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    |------|---------| | [flonat/claude-research](https://github.com/flonat/claude-research) | 8阶段工作流、引用验证、Session Log | | [openclaw/skills](https://github.com/openclaw/skills) | 多数据库搜索策略、Agent设计模式 |
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    | [flonat/claude-research](https://github.com/flonat/claude-research) | 8阶段工作流、引用验证、Session Log |
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    | [openclaw/skills](https://github.com/openclaw/skills) | 多数据库搜索策略、Agent设计模式 |
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    | [cookjohn/cnki-skills](https://github.com/cookjohn/cnki-skills) | CNKI自动化检索、Zotero导出 |
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    | [diegosouzapw/awesome-omni-skill](https://github.com/diegosouzapw/awesome-omni-skill) | 统一学术数据接口设计 |
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    [![Star History Chart](https://api.star-history.com/svg?repos=stephenlzc%2Fai-powered-literature-review-skills&type=date&legend=top-left)](https://www.star-history.com/#stephenlzc/AI-Powered-Literature-Review-Skills&Date)

README_EN.md

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    cd ~/.kimi/skills  # Or the equivalent directory for your tool git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git literature-reviewer-skill
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    git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git literature-reviewer-skill
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    git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git
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    mkdir -p ~/test-skills cd ~/test-skills git clone --depth 1 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git
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    cd ~/test-skills git clone --depth 1 https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git cat AI-Powered-Literature-Review-Skills/SKILL.md
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    - [flonat/claude-research](https://github.com/flonat/claude-research)
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    - [openclaw/skills](https://github.com/openclaw/skills)
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    - [cookjohn/cnki-skills](https://github.com/cookjohn/cnki-skills)
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    - [diegosouzapw/awesome-omni-skill](https://github.com/diegosouzapw/awesome-omni-skill)
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    [![Star History Chart](https://api.star-history.com/svg?repos=stephenlzc%2Fai-powered-literature-review-skills&type=date&legend=top-left)](https://www.star-history.com/#stephenlzc/AI-Powered-Literature-Review-Skills&Date)

SECURITY.md

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    - 🐛 GitHub Issues: https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills/issues

SKILL.md

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agents/explore-agent.md

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examples/example-3-ai-education/README.md

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examples/example-3-ai-education/prompts/phase8-4-final.md

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    [C3] 教育部. 深化新时代教育评价改革总体方案[EB/OL]. (2020-10-13). http://www.moe.gov.cn/...

examples/example-4-carbon-policy/README.md

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examples/example-4-carbon-policy/sample-output/literature_review.md

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    [C4] 国务院. 2030年前碳达峰行动方案[EB/OL]. (2021-10-24). https://www.gov.cn/zhengce/content/2021-10/26/content_5644984.htm.
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examples/example-5-uniqlo-social-media/README.md

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examples/example-5-uniqlo-social-media/prompts/phase8-4-final.md

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install.yaml

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    author:   name: stephenlzc   github: https://github.com/stephenlzc
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    github: https://github.com/stephenlzc

mcp.json

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    "type": "git",     "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git"   },
  • Network accessline 18
    "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git"
  • Network accessline 21
    "bugs": {     "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills/issues"
  • Network accessline 22
    "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills/issues"
  • Network accessline 132
    "blocked": [         "file://*",         "http://localhost/*",
  • Network accessline 133
    "file://*",         "http://localhost/*",         "http://127.0.0.1/*"
  • Network accessline 134
    "http://localhost/*",
  • Network accessline 135
    "http://127.0.0.1/*"
  • Network accessline 171
    "installation": {     "type": "git_clone",     "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git",
  • Network accessline 172
    "type": "git_clone",     "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git",     "target_directory": "literature-reviewer-skill",
  • Network accessline 173
    "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git",

references/cnki-guide.md

  • Network accessline 9
    **URL**: `https://kns.cnki.net/kns/AdvSearch?classid=7NS01R8M`
  • Network accessline 266
    **URL**: `https://navi.cnki.net/knavi/journals/index`
  • Network accessline 398
    - CNKI 高级检索: https://kns.cnki.net/kns/AdvSearch
  • Network accessline 399
    - CNKI 期刊导航: https://navi.cnki.net
  • Network accessline 400
    - CNKI 帮助中心: https://www.cnki.net/gycnki/gycnki.htm

references/database-access.md

  • Network accessline 17
    ### 访问地址 - 高级检索：`https://kns.cnki.net/kns8/AdvSearch`
  • Network accessline 18
    - 高级检索：`https://kns.cnki.net/kns8/AdvSearch`
  • Network accessline 47
    ### 访问地址 - 高级检索：`https://www.webofscience.com/wos/woscc/advanced-search`
  • Network accessline 48
    - 高级检索：`https://www.webofscience.com/wos/woscc/advanced-search`
  • Network accessline 66
    ### 访问地址 - 检索页面：`https://www.sciencedirect.com/search`
  • Network accessline 67
    - 检索页面：`https://www.sciencedirect.com/search`
  • Network accessline 82
    ### 访问地址 - 高级检索：`https://pubmed.ncbi.nlm.nih.gov/advanced/`
  • Network accessline 83
    - 高级检索：`https://pubmed.ncbi.nlm.nih.gov/advanced/`

references/gb-t-7714-2015.md

  • Network accessline 99
    [9] 中国互联网络信息中心. 第52次中国互联网络发展状况统计报告[R/OL]. (2023-08-28)[2024-01-15]. https://www.cnnic.net.cn/
  • Network accessline 101
    [10] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[EB/OL]. (2017-06-12)[2024-01-15]. https://arxiv.org/abs/1706.03762.
  • Network accessline 320
    title = {Attention Is All You Need},   year = {2017},   url = {https://arxiv.org/abs/1706.03762},
  • Network accessline 321
    year = {2017},   url = {https://arxiv.org/abs/1706.03762},   note = {arXiv preprint arXiv:1706.03762}
  • Network accessline 322
    url = {https://arxiv.org/abs/1706.03762},

scripts/__init__.py

  • Executable scriptline 1
    #!/usr/bin/env python3

scripts/citation_formatter.py

  • Executable scriptline 1
    #!/usr/bin/env python3

scripts/deduplicate_papers.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 40
    doi = doi.replace("https://doi.org/", "")
  • Network accessline 41
    doi = doi.replace("http://doi.org/", "")

scripts/models.py

  • Executable scriptline 1
    #!/usr/bin/env python3

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: 1 fact
Signal confidence: 122 facts
  • Network access in prose of documentationAGENTS.md:359Low confidence
  • Network access in prose of documentationAGENTS.md:373Low confidence
  • Network access in prose of documentationAGENTS.md:382Low confidence
  • Executable script in a comment of a file that runsDockerfile:1Low confidence
  • Dangerous shell operation in code of a file that runsDockerfile:10High confidence
  • Network access in code of a file that runsDockerfile:10High confidence
  • Network access in code of a file that runsDockerfile:12High confidence
  • Network access in code of a file that runsDockerfile:13High confidence
  • Network access in code of a file that runsDockerfile:14High confidence
  • Dangerous shell operation in code of a file that runsDockerfile:16High confidence
  • Network access in prose of documentationREADME.md:5Low confidence
  • Network access in prose of documentationREADME.md:6Low confidence
  • Network access in prose of documentationREADME.md:7Low confidence
  • Network access in prose of documentationREADME.md:8Low confidence
  • Network access in prose of documentationREADME.md:9Low confidence
  • Network access in prose of documentationREADME.md:10Low confidence
  • Access to secrets in prose of documentationREADME.md:13Low confidence
  • Network access in prose of documentationREADME.md:122Low confidence
  • Network access in prose of documentationREADME.md:123Low confidence
  • Network access in prose of documentationREADME.md:124Low confidence
  • Network access in prose of documentationREADME.md:125Low confidence
  • Network access in prose of documentationREADME.md:126Low confidence
  • Network access in prose of documentationREADME.md:127Low confidence
  • Network access in prose of documentationREADME.md:128Low confidence
  • Network access in prose of documentationREADME.md:129Low confidence
  • Network access in prose of documentationREADME.md:135Low confidence
  • Network access in prose of documentationREADME.md:136Low confidence
  • Network access in prose of documentationREADME.md:137Low confidence
  • Network access in code of documentationREADME.md:158Low confidence
  • Network access in code of documentationREADME.md:159Low confidence
  • Network access in code of documentationREADME.md:169Low confidence
  • Network access in code of documentationREADME.md:170Low confidence
  • Network access in code of documentationREADME.md:203Low confidence
  • Network access in code of documentationREADME.md:205Low confidence
  • Network access in prose of documentationREADME.md:340Low confidence
  • Network access in prose of documentationREADME.md:559Low confidence
  • Network access in prose of documentationREADME.md:560Low confidence
  • Network access in prose of documentationREADME.md:561Low confidence
  • Network access in prose of documentationREADME.md:562Low confidence
  • Network access in prose of documentationREADME.md:563Low confidence
  • Network access in prose of documentationREADME.md:564Low confidence
  • Network access in prose of documentationREADME.md:570Low confidence
  • Network access in prose of documentationREADME_EN.md:7Low confidence
  • Network access in prose of documentationREADME_EN.md:8Low confidence
  • Network access in prose of documentationREADME_EN.md:9Low confidence
  • Network access in prose of documentationREADME_EN.md:10Low confidence
  • Network access in prose of documentationREADME_EN.md:11Low confidence
  • Network access in prose of documentationREADME_EN.md:12Low confidence
  • Access to secrets in prose of documentationREADME_EN.md:15Low confidence
  • Network access in code of documentationREADME_EN.md:135Low confidence

and 72 more

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexNativeManifest AGENTS.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md 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.

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