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xiaotianfotos/skills
视频中分享的方法论代码参考
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584GitHub stars
0stars in 7 days
4skills in this repository
0commits in 30 days
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Individual skills in this repository
- claude-in-tmux
claude-in-tmux - dlna
dlna - tutor
tutor - video-understand
video-understand
How it works
claude-in-tmux
When your agent uses it
Run Claude Code CLI inside tmux sessions within Docker containers. Use this skill when the user wants to run Claude Code in a tmux session, check running tmux sessions, read logs from tmux sessions, or manage claude.sh wrapper script in OpenClaw agent containers.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
759 tokensWhen the skill is activated
Reference documents
3,265 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 核心功能
- 支持的模型
- 快速开始
- 日志位置
- 常用命令
- 文件说明
- 技术细节
- 更多信息
Scripts executed separately
claude.sh.template
Files
README.mddoc3,994 bytesREADME_for_Openclaw.mddoc6,647 bytesSKILL.mdcore2,519 bytesSKILL.mdcore2,519 bytesSKILL.mdcore2,519 bytesSKILL.mdcore2,519 bytesclaude.sh.templateruns10,877 bytes
Read SKILL.md
# Claude-in-Tmux
在 OpenClaw Agent 容器中使用 tmux 运行 Claude Code CLI，实现后台任务执行和日志追踪。
## 核心功能
- 在 tmux session 中后台运行 Claude Code
- 自动记录日志到 `/tmp/tmux-logs/`
- 支持读取运行中的 session 日志
- 支持指定 session 名称便于管理
- 支持多种国内模型供应商（Kimi、MiniMax、智谱 GLM-5）
## 支持的模型
可以根据需要添加供应商dlna
When your agent uses it
Control DLNA MediaRenderer devices. Discover devices and play media URLs on DLNA-compatible TVs, speakers, and media players. Supports default device configuration.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
720 tokensWhen the skill is activated
Reference documents
1,232 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Commands
- Configuration
- Playing Local Files
- Supported Devices
Scripts executed separately
scripts/setup.shsrc/dlna/__init__.pysrc/dlna/cli.pysrc/dlna/config.pysrc/dlna/discover.pysrc/dlna/player.pysrc/dlna/server.py
Files
.python-versionasset4 bytesREADME.mddoc4,012 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytespyproject.tomlasset500 bytesrequirements.txtdoc54 bytesscripts/setup.shruns1,024 bytessrc/dlna/__init__.pyruns550 bytessrc/dlna/cli.pyruns3,340 bytessrc/dlna/config.pyruns2,302 bytessrc/dlna/discover.pyruns1,252 bytessrc/dlna/player.pyruns4,405 bytessrc/dlna/server.pyruns1,998 bytes
Read SKILL.md
# DLNA - Media Device Control
Control DLNA/UPnP MediaRenderer devices on your local network.
## Quick Start
```bash
# Discover devices
uv run dlna discover
# Set default device (optional but convenient)
uv run dlna config --device "HT-Z9F"
# Play with default device (no need to specify device name)tutor
When your agent uses it
一对一辅导老师技能，用于解答数学题，生成HTML讲解文档和带配音的Manim动画视频。 核心工作流：数学分析 → HTML可视化 → 分镜脚本 → TTS音频 → 验证更新 → 脚手架 → Manim代码 → 渲染验证 触发条件：学生粘贴数学题图片、需要教学视频、需要HTML讲解资料
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
7,253 tokensWhen the skill is activated
Reference documents
8,603 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 核心工作流
- 步骤1：分析题目，推导数学事实
- 步骤2：HTML + SVG 可视化
- 步骤3：生成分镜脚本
- 步骤4：TTS 生成语音文件
- 步骤5：验证并更新分镜时长
- 步骤6：生成 script.py 脚手架
- 步骤7：AI 生成最终代码
- 步骤8：代码检查与渲染
- 数学解题原则（绝对重要）
- 文件结构
- 依赖管理
- 绕过LaTeX依赖（重要）
- 关键原则总结
Scripts executed separately
init.pysample/geometry_proof/generate_edge_tts.pysample/geometry_proof/render.shsample/geometry_proof/scene.pyscripts/check.pyscripts/generate_tts.pyscripts/render.pyscripts/validate_audio.pytemplates/script_example.pytemplates/script_scaffold.py
Files
README.mddoc1,192 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesSKILL.mdcore24,522 bytesinit.pyruns6,948 bytesreferences/storyboard_sample.mddoc9,219 bytesrequirements.txtdoc216 bytessample/geometry_proof/README.mddoc4,068 bytessample/geometry_proof/audio_list.txtdoc271 bytessample/geometry_proof/generate_edge_tts.pyruns10,689 bytessample/geometry_proof/render.shruns7,169 bytessample/geometry_proof/requirements.txtdoc145 bytessample/geometry_proof/scene.pyruns24,082 bytessample/geometry_proof/storyboard.mddoc3,460 bytessample/geometry_proof/几何_20260218_四点共圆证明_分镜.mddoc8,344 bytesscripts/audio_list.example.csvasset476 bytesscripts/check.pyruns8,551 bytesscripts/generate_tts.pyruns8,028 bytesscripts/render.pyruns7,541 bytesscripts/validate_audio.pyruns9,606 bytestemplates/script_example.pyruns15,872 bytestemplates/script_scaffold.pyruns12,938 bytes
Read SKILL.md
# Tutor - 一对一辅导老师
## 核心工作流
```python
WORKFLOW = [
# 步骤1: 数学建模
{
"step": 1,
"name": "analyze_problem",
"input": "题目图片/文本",
"output": "math_analysis.md",
"tasks": ["推导数学事实", "建立几何模型", "确定图形构建方法"]
},When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
368 tokensWhen the skill is activated
Reference documents
57 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述
- 核心功能
- 使用方法
- 注意事项
Scripts executed separately
scripts/openrouter-mimo-omni.js
Files
README.mddoc191 bytesSKILL.mdcore1,293 bytesSKILL.mdcore1,293 bytesscripts/openrouter-mimo-omni.jsruns12,247 bytes
Read SKILL.md
# video-understand 技能
## 概述
通过多模态 Omni 模型理解视频/图片内容，用自然语言驱动输出任意所需结果——复刻视频的生成 Prompt、场景描述、音频转录、内容分析等。
当前实现基于 OpenRouter 上的 `xiaomi/mimo-v2-omni`，但工具本身可以改造为任何支持视频/图片输入的多模态模型（不限于 Omni 类型），只需替换模型 ID 和对应的 API 接入方式。
## 核心功能
把视频或图片交给模型，配合你的需求描述，直接生成所需内容：
- 复刻视频的生成 Prompt（用于 AI 视频生成工具）
- 视频内容理解与描述
- 音频转录Skills included
- claude-in-tmux
- dlna
- tutor
Repository facts
- License
- MIT
- Created
- Feb 22, 2026
- Last pushed
- Mar 23, 2026
- Forks
- 160
- Open issues
- 1
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 20 notes
claude-in-tmux/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedclaude-in-tmux/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedclaude-in-tmux/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddlna/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddlna/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddlna/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddlna/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedvideo-understand/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 17 dangerous shell commandsin 8 files: claude-in-tmux/README_for_Openclaw.md:19 claude-in-tmux/README.md:21 claude-in-tmux/claude.sh.template:8 and 5 more
- 131 network referencesin 14 files: claude-in-tmux/claude.sh.template:6 claude-in-tmux/README_for_Openclaw.md:19 dlna/README.md:37 and 11 more
- No hidden or obfuscated text
- No instruction overrides
- 19 executable scriptsin 19 files: claude-in-tmux/claude.sh.template:1 dlna/scripts/setup.sh:1 dlna/src/dlna/__init__.py:1 and 16 more
- 53 references to secretsin 6 files: claude-in-tmux/README_for_Openclaw.md:61 claude-in-tmux/claude.sh.template:40 claude-in-tmux/README.md:35 and 3 more
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Show all 220 signals by file
claude-in-tmux/README.md
- Network accessline 20
# 1. 安装 Claude Code curl -fsSL https://claude.ai/install.sh | bash - Dangerous shell operationline 21
curl -fsSL https://claude.ai/install.sh | bash - Network accessline 21
curl -fsSL https://claude.ai/install.sh | bash - Dangerous shell operationline 25
sudo apt-get install -y tmux - Access to secretsline 35
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# 示例：配置本地模型 export LOCAL_BASE_URL="http://localhost:5000" - Network accessline 38
export LOCAL_BASE_URL="http://localhost:5000" - Network accessline 46
| 模型 | 默认模型名 | Base URL | 环境变量 | 官网 | |------|-----------|----------|----------|------| | `kimi` | `kimi-for-coding` | `https://api.kimi.com/coding/` | `KIMI_API_KEY` | https://platform.moonshot.cn/ | - Network accessline 47
|------|-----------|----------|----------|------| | `kimi` | `kimi-for-coding` | `https://api.kimi.com/coding/` | `KIMI_API_KEY` | https://platform.moonshot.cn/ | | `minimax` | `MiniMax-M2.5` | `https://api.minimaxi.com/anthropic` | `MINIMA - Network accessline 48
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claude-in-tmux/README_for_Openclaw.md
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curl -fsSL https://claude.ai/install.sh | bash - Network accessline 19
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# 获取 API Key: https://platform.moonshot.cn/ - Access to secretsline 61
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| 模型名 | 实际模型 | Base URL | 环境变量 | |--------|----------|----------|----------| | `kimi` | `kimi-for-coding` | `https://api.kimi.com/coding/` | `KIMI_API_KEY` | - Network accessline 110
|--------|----------|----------|----------| | `kimi` | `kimi-for-coding` | `https://api.kimi.com/coding/` | `KIMI_API_KEY` | | `minimax` | `MiniMax-M2.5` | `https://api.minimaxi.com/anthropic` | `MINIMAX_API_KEY` | - Network accessline 111
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配置步骤: 1. 访问 https://platform.moonshot.cn/ 获取 API Key - Network accessline 183
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curl -fsSL https://claude.ai/install.sh | bash - Network accessline 201
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export ANTHROPIC_BASE_URL="https://api.example.com/anthropic" - Network accessline 290
# 安装 Claude Code RUN curl -fsSL https://claude.ai/install.sh | bash - Dangerous shell operationline 291
RUN curl -fsSL https://claude.ai/install.sh | bash - Network accessline 291
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- Claude Code 文档: https://docs.anthropic.com/claude-code/ - Network accessline 315
- tmux 手册: https://man.openbsd.org/OpenBSD-current/man1/tmux.1 - Network accessline 316
- OpenClaw 文档: https://docs.openclaw.ai
claude-in-tmux/SKILL.md
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| 简写 | 供应商 | 说明 | |------|--------|------| | `glm5` | 智谱 GLM-5 | https://www.z.ai/ | - Network accessline 22
|------|--------|------| | `glm5` | 智谱 GLM-5 | https://www.z.ai/ | | `minimax` | MiniMax M2.5 | https://www.minimaxi.com/ | - Network accessline 23
| `glm5` | 智谱 GLM-5 | https://www.z.ai/ | - Network accessline 24
| `minimax` | MiniMax M2.5 | https://www.minimaxi.com/ | - Network accessline 25
| `kimi` | Kimi K2.5 | https://platform.moonshot.cn/ | - Dangerous shell operationline 33
1. 安装 Claude Code: `curl -fsSL https://claude.ai/install.sh | bash` - Network accessline 33
1. 安装 Claude Code: `curl -fsSL https://claude.ai/install.sh | bash` - Access to secretsline 92
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claude-in-tmux/claude.sh.template
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# # 配置方式： # 1. 安装 Claude Code: curl -fsSL https://claude.ai/install.sh | bash - Network accessline 7
# 配置方式： # 1. 安装 Claude Code: curl -fsSL https://claude.ai/install.sh | bash # 2. 安装 tmux - Dangerous shell operationline 8
# 1. 安装 Claude Code: curl -fsSL https://claude.ai/install.sh | bash - Network accessline 8
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模型: kimi-for-coding Base URL: https://api.kimi.com/coding/ 官网: https://platform.moonshot.cn/ - Network accessline 42
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模型: MiniMax-M2.5 Base URL: https://api.minimaxi.com/anthropic 官网: https://www.minimaxi.com/ - Network accessline 48
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模型: GLM-5 Base URL: https://api.z.ai/api/anthropic 官网: https://www.z.ai/ - Network accessline 54
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echo "" echo "安装步骤:" echo " curl -fsSL https://claude.ai/install.sh | bash" - Network accessline 172
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echo " curl -fsSL https://claude.ai/install.sh | bash" - Network accessline 188
# 月之暗面 Kimi (Coding 版本) # 官网: https://platform.moonshot.cn/ - Network accessline 189
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echo "" echo "配置步骤:" echo " 1. 访问 https://platform.moonshot.cn/ 获取 API Key" - Network accessline 194
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export ANTHROPIC_BASE_URL="https://api.kimi.com/coding/" - Network accessline 209
# MiniMax M2.5 # 官网: https://www.minimaxi.com/ - Network accessline 210
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export ANTHROPIC_BASE_URL="https://api.minimaxi.com/anthropic" - Network accessline 230
# 智谱 GLM-5 # 官网: https://www.z.ai/ - Network accessline 231
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export ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic" - Network accessline 297
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tmux send-keys -t "$TMUX_SESSION" "export ANTHROPIC_BASE_URL='$ANTHROPIC_BASE_URL'" C-m
dlna/README.md
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# 播放媒体 URL uv run dlna play "http://example.com/video.mp4" - Network accessline 38
uv run dlna play "http://example.com/video.mp4" - Network accessline 40
# 或明确指定设备 uv run dlna play "http://example.com/video.mp4" "客厅电视" - Network accessline 41
uv run dlna play "http://example.com/video.mp4" "客厅电视" - Network accessline 70
# 使用本机 IP 播放文件 uv run dlna play "http://192.168.1.100:8000/video.mp4" - Network accessline 71
uv run dlna play "http://192.168.1.100:8000/video.mp4" - Network accessline 79
# 在后台启动 HTTP 服务器，然后播放文件 python3 -m http.server 8765 & uv run dlna play "http://$(hostname -I | awk '{print $1}'):8765/1.mp4" "酷喵电视" - Network accessline 81
uv run dlna play "http://$(hostname -I | awk '{print $1}'):8765/1.mp4" "酷喵电视" - Network accessline 96
if device: # 播放远程 URL await play_url(device, "http://example.com/video.mp4") - Network accessline 98
await play_url(device, "http://example.com/video.mp4") - Network accessline 122
# 2. 通过乐播投屏播放（推荐用于索尼电视） uv run dlna play "http://192.168.100.207:8765/video.mp4" "乐播投屏（SONY XR-65X91J）" - Network accessline 123
uv run dlna play "http://192.168.100.207:8765/video.mp4" "乐播投屏（SONY XR-65X91J）" - Network accessline 135
# 之后播放无需指定设备名 uv run dlna play "http://example.com/music.mp3" - Network accessline 136
uv run dlna play "http://example.com/music.mp3" - Network accessline 157
- [async-upnp-client](https://github.com/StevenLooman/async_upnp_client) - UPnP/DLNA 客户端库 - [aiohttp](https://docs.aiohttp.org/) - 异步 HTTP 客户端/服务器 - Network accessline 158
- [aiohttp](https://docs.aiohttp.org/) - 异步 HTTP 客户端/服务器 - Network accessline 159
- [click](https://click.palletsprojects.com/) - CLI 框架
dlna/SKILL.md
- Network accessline 19
# Play with default device (no need to specify device name) uv run dlna play "http://example.com/video.mp4" - Network accessline 20
uv run dlna play "http://example.com/video.mp4" - Network accessline 22
# Or play with specific device uv run dlna play "http://example.com/video.mp4" "Living Room TV" - Network accessline 23
uv run dlna play "http://example.com/video.mp4" "Living Room TV" - Network accessline 75
import socket def get_ip(): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) - Network accessline 76
def get_ip(): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(("8.8.8.8", 80)) - Network accessline 77
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) - Network accessline 83
# Step 3: Construct URL and play url = f"http://{get_ip()}:8000/video.mp4" - Network accessline 84
url = f"http://{get_ip()}:8000/video.mp4" - Network accessline 100
if device: # Play remote URL await play_url(device, "http://example.com/video.mp4") - Network accessline 102
await play_url(device, "http://example.com/video.mp4")
dlna/scripts/setup.sh
- Executable scriptline 1
#!/bin/bash - Network accessline 16
if ! command -v uv &> /dev/null; then echo "Error: uv is not installed. Please install uv first:" echo " curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 17
echo "Error: uv is not installed. Please install uv first:" echo " curl -LsSf https://astral.sh/uv/install.sh | sh" exit 1 - Dangerous shell operationline 18
echo " curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 18
echo " curl -LsSf https://astral.sh/uv/install.sh | sh"
dlna/src/dlna/__init__.py
- Executable scriptline 1
Executable file
dlna/src/dlna/cli.py
dlna/src/dlna/config.py
- Executable scriptline 1
Executable file
dlna/src/dlna/discover.py
- Executable scriptline 1
Executable file
dlna/src/dlna/player.py
- Executable scriptline 1
Executable file
dlna/src/dlna/server.py
- Executable scriptline 1
Executable file - Network accessline 54
local_ip = _get_local_ip() return f"http://{local_ip}:{self._actual_port}" - Network accessline 55
return f"http://{local_ip}:{self._actual_port}" - Network accessline 60
try: s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) - Network accessline 61
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
tutor/init.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 31
"uv": { "check": ["uv", "--version"], "install_hint": "curl -LsSf https://astral.sh/uv/install.sh | sh", - Network accessline 32
"check": ["uv", "--version"], "install_hint": "curl -LsSf https://astral.sh/uv/install.sh | sh", "required": True, - Dangerous shell operationline 33
"install_hint": "curl -LsSf https://astral.sh/uv/install.sh | sh", - Network accessline 33
"install_hint": "curl -LsSf https://astral.sh/uv/install.sh | sh",
tutor/sample/geometry_proof/README.md
tutor/sample/geometry_proof/generate_edge_tts.py
- Executable scriptline 1
#!/usr/bin/env python3
tutor/sample/geometry_proof/render.sh
- Executable scriptline 1
#!/bin/bash - Network accessline 35
echo "" echo "请安装 uv:" echo " macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 36
echo "请安装 uv:" echo " macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh" echo " 或访问: https://github.com/astral-sh/uv" - Dangerous shell operationline 37
echo " macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 37
echo " macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 38
echo " 或访问: https://github.com/astral-sh/uv" - Dangerous shell operationline 55
rm -rf "$VENV_DIR" media/ final_video.mp4
tutor/sample/geometry_proof/scene.py
- Executable scriptline 1
Executable file
tutor/scripts/check.py
- Executable scriptline 1
#!/usr/bin/env python3
tutor/scripts/generate_tts.py
- Executable scriptline 1
#!/usr/bin/env python3
tutor/scripts/render.py
- Executable scriptline 1
#!/usr/bin/env python3
tutor/scripts/validate_audio.py
- Executable scriptline 1
#!/usr/bin/env python3
tutor/templates/script_example.py
- Executable scriptline 1
Executable file
tutor/templates/script_scaffold.py
- Executable scriptline 1
Executable file
video-understand/README.md
- Network accessline 3
本技能是 [OpenClaw](https://openclaw.ai) 工具的补充，弥补其在视频/图片多模态理解方面的不足。
video-understand/SKILL.md
video-understand/scripts/openrouter-mimo-omni.js
- Executable scriptline 1
#!/usr/bin/env node - Network accessline 15
[Credential-related source omitted] - Access to secretsline 15
[Credential-related source omitted] - Network accessline 16
const OPENROUTER_BASE_URL = 'https://openrouter.ai/api/v1'; - Network accessline 18
const ATTRIBUTION_HEADERS = { 'HTTP-Referer': 'https://openclaw.ai', - Network accessline 19
'HTTP-Referer': 'https://openclaw.ai', - Access to secretsline 71
[Credential-related source omitted] - Access to secretsline 72
[Credential-related source omitted] - Access to secretsline 240
[Credential-related source omitted] - Network accessline 282
const response = await fetch(url, {
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 api.kimi.com, which SKILL.md, the README and the plugin manifest do not mentionclaude-in-tmux/claude.sh.template:42High confidence
- Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mentiondlna/scripts/setup.sh:18High confidence
- Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mentiontutor/init.py:33High confidence
- Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mentiontutor/sample/geometry_proof/render.sh:37High confidence
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentiontutor/sample/geometry_proof/render.sh:38High confidence
- Contacts openrouter.ai, which SKILL.md, the README and the plugin manifest do not mentionvideo-understand/scripts/openrouter-mimo-omni.js:16High confidence
- Contacts openclaw.ai, which SKILL.md, the README and the plugin manifest do not mentionvideo-understand/scripts/openrouter-mimo-omni.js:19High confidence
Signal confidence: 220 facts
- Network access in code of documentationclaude-in-tmux/README.md:20Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README.md:21Low confidence
- Network access in code of documentationclaude-in-tmux/README.md:21Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README.md:25Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README.md:35Low confidence
- Network access in code of documentationclaude-in-tmux/README.md:37Low confidence
- Network access in code of documentationclaude-in-tmux/README.md:38Low confidence
- Network access in prose of documentationclaude-in-tmux/README.md:46Low confidence
- Network access in prose of documentationclaude-in-tmux/README.md:47Low confidence
- Network access in prose of documentationclaude-in-tmux/README.md:48Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README.md:48Low confidence
- Network access in prose of documentationclaude-in-tmux/README.md:49Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README.md:49Low confidence
- Network access in prose of documentationclaude-in-tmux/README.md:50Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README.md:50Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README.md:58Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README.md:61Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README.md:64Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README.md:132Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README_for_Openclaw.md:19Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:19Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README_for_Openclaw.md:28Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README_for_Openclaw.md:29Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README_for_Openclaw.md:34Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:60Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:61Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:66Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:67Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:72Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:73Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueclaude-in-tmux/README_for_Openclaw.md:82Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueclaude-in-tmux/README_for_Openclaw.md:85Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueclaude-in-tmux/README_for_Openclaw.md:101Low confidence
- Network access in prose of documentationclaude-in-tmux/README_for_Openclaw.md:109Low confidence
- Network access in prose of documentationclaude-in-tmux/README_for_Openclaw.md:110Low confidence
- Network access in prose of documentationclaude-in-tmux/README_for_Openclaw.md:111Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README_for_Openclaw.md:111Low confidence
- Network access in prose of documentationclaude-in-tmux/README_for_Openclaw.md:112Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README_for_Openclaw.md:112Low confidence
- Network access in prose of documentationclaude-in-tmux/README_for_Openclaw.md:113Low confidence
- Access to secrets in prose of documentationclaude-in-tmux/README_for_Openclaw.md:113Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:180Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:182Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:183Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueclaude-in-tmux/README_for_Openclaw.md:184Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:189Low confidence
- Dangerous shell operation in code of documentationclaude-in-tmux/README_for_Openclaw.md:201Low confidence
- Network access in code of documentationclaude-in-tmux/README_for_Openclaw.md:201Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueclaude-in-tmux/README_for_Openclaw.md:267Low confidence
- Access to secrets in code of documentationclaude-in-tmux/README_for_Openclaw.md:268Low confidence
and 170 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md claude-in-tmux/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md claude-in-tmux/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md claude-in-tmux/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md claude-in-tmux/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md claude-in-tmux/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md claude-in-tmux/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.
