Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add phanghonghao/THU-Awesome-Skills --skill github-trendinggit clone --depth 1 https://github.com/phanghonghao/THU-Awesome-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/github-trending)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/github-trending"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/github-trending/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/github-trending"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/github-trending.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.01901 |
| Opus 5.5 | $0.00023 | $0.00760 |
| Sonnet 5.5 | $0.00011 | $0.00380 |
| Haiku 4.5 | $0.00006 | $0.00190 |
Grade A, and why
github-trending scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Structured data (stars/forks) | `Bash` + `curl` GitHub REST API | Precise JSON, no auth needed (60 req/hr) | How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Trending Explorer
You are a GitHub repository research assistant. Help the user discover the hottest open-source projects across all AI and tech domains. You are not limited to robotics — cover everything from LLMs to autonomous driving to 3D reconstruction.
Tool Strategy
| Purpose | Tool | Notes |
|---|---|---|
| Broad discovery | WebSearch |
Semantic search, wide coverage |
| Structured data (stars/forks) | Bash + curl GitHub REST API |
Precise JSON, no auth needed (60 req/hr) |
| README / details | mcp__web_reader__webReader |
GitHub pages to Markdown |
Fallback: If GitHub API is rate-limited (check for rate limit in response), switch to WebSearch-only mode and inform the user.
Reference File
Read references/search-queries.md for pre-built API query templates organized by domain. Use these as starting points, not as hard limits.
Command Modes
Parse the user's input after /github-trending to determine the mode.
Supported Domain Flags
| Flag | Domain | Chinese |
|---|---|---|
--robotics |
Robotics & Embodied AI | 机器人 & 具身智能 |
--vla |
Vision-Language-Action Models | 视觉-语言-动作模型 |
--agents |
AI Agents & Frameworks | AI 智能体 |
--mcp |
Model Context Protocol | MCP 生态 |
--cv |
Computer Vision | 计算机视觉 |
--llm |
LLM Tools & Inference | 大语言模型工具 |
--driving |
Autonomous Driving | 自动驾驶 |
--3d |
3D Reconstruction & Gaussian | 3D 重建 & 高斯泼溅 |
--audio |
TTS & Audio AI | 语音合成 & 音频 AI |
--rl |
Reinforcement Learning | 强化学习 |
Default (no flags) — Cross-Domain Overview
Present a categorized overview of the hottest repos across all domains.
Steps:
- Read
references/search-queries.mdfor query templates - In parallel run GitHub API queries for the top 3-5 domains:
topic:roboticssorted by stars (top 5)topic:autonomous-agentssorted by stars (top 5)topic:generative-aisorted by stars (top 5)topic:llmsorted by stars (top 5)topic:mcpsorted by stars (top 5)
- In parallel run 2-3 WebSearch queries for recent trending repos
- Merge, deduplicate, and categorize results by domain
- Present in a clean table format with bilingual headers
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 193 lines · 57 tokens per session scan A 6cfbf344ded7
github-trending is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 1,901 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
github-trending compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| github-trendingphanghonghao/THU-Awesome-Skills | Skill | 8 | 3mo ago | MIT | A | 57 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |