PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Generate GitHub AI trending project reports as formatted text leaderboards.
No licenceAuto-check passed
Install GitHub AI Trends
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills github-ai-trends --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/github-ai-trends .claude/skills/github-ai-trends && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .claude/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trendsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills github-ai-trends --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/github-ai-trends .agents/skills/github-ai-trends && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .agents/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills github-ai-trends --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/github-ai-trends .cursor/skills/github-ai-trends && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .cursor/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/infometa/workbuddyskills.git --path skills/github-ai-trends--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills github-ai-trends --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/github-ai-trends .gemini/skills/github-ai-trends && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .gemini/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install infometa/workbuddyskills github-ai-trendsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/github-ai-trends .github/skills/github-ai-trends && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .github/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill github-ai-trends -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills github-ai-trends --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/github-ai-trends .opencode/skills/github-ai-trends && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "github-ai-trends" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/github-ai-trends into .opencode/skills/github-ai-trends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-ai-trends", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
github-ai-trends- GitHub stars
- 342
- Token cost
- ~346 tokens
- SKILL.md length
- 121 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 235
- Repo updated
- First seen
- Licence
- None found
At a glance
Generate GitHub AI trending project reports as formatted text leaderboards.
- Works in 3 steps: Searches GitHub API for AI-related repos… → Deduplicates and sorts by star count → Outputs a formatted markdown leaderboard…
- The user asks for AI project trends
- SKILL.md covers Usage, Parameters, How It Works and Notes
- Runs Python scripts from its folder; calls python3; needs GITHUB_TOKEN
What it does
GitHub AI Trends is an agent skill from infometa/workbuddyskills. Generate GitHub AI trending project reports as formatted text leaderboards. Fetches top-starred AI/ML/LLM repos by daily, weekly, or monthly period and renders a styled leaderboard. Use when the user asks for AI project trends, GitHub trending, AI leaderboard, or wants to see popular AI repos.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/fetch_trends.py`).
It works with GitHub. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- The user asks for AI project trends
- GitHub trending
- Wants to see popular AI repos
Example prompts
- “/github-ai-trends”
Requirements
- Python 3
- A credential in GITHUB_TOKEN
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Searches GitHub API for AI-related repos (by keywords + topics) pushed within the period
- Deduplicates and sorts by star count
- Outputs a formatted markdown leaderboard ready for chat display
What it can do on your machine
Read from SKILL.md and the folder at commit 9830caf. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
GitHub AI Trends loads about 346 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 121 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 121 words (~346 tokens).
“Generate formatted leaderboard of trending AI projects on GitHub, output directly to chat.”
- name
- github-ai-trends
- description_zh
- 生成 GitHub AI 热门项目趋势排行榜报告
- description_en
- Generate GitHub AI trending project leaderboard reports
- version
- 1.1.0
Files
SKILL.md and 1 other file (scripts) in skills/github-ai-trends of infometa/workbuddyskills.
- SKILL.md
- scripts/fetch_trends.py
Open the folder on GitHubat commit 9830caf
Compare with similar skills
GitHub AI Trends next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| GitHub AI Trends this skillinfometa/workbuddyskills | 342 | — | ~346 | Automated safety check: Pass | None | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 |
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Works with
Questions about GitHub AI Trends
What does GitHub AI Trends do?
Generate GitHub AI trending project reports as formatted text leaderboards. GitHub AI Trends is an agent skill from infometa/workbuddyskills. Generate GitHub AI trending project reports as formatted text leaderboards.
When should I use GitHub AI Trends?
GitHub AI Trends fits situations like: the user asks for AI project trends; GitHub trending; wants to see popular AI repos.
How do I install GitHub AI Trends in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill github-ai-trends -a claude-code`. Or copy the skill folder (skills/github-ai-trends in infometa/workbuddyskills) into .claude/skills/github-ai-trends in your project. Claude Code loads it when a task matches its description.
How do I install GitHub AI Trends in Codex?
Run `npx skills add infometa/workbuddyskills --skill github-ai-trends -a codex`. Or copy the skill folder (skills/github-ai-trends in infometa/workbuddyskills) into .agents/skills/github-ai-trends in your project. Codex loads it when a task matches its description.
Can I use GitHub AI Trends in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill github-ai-trends -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-ai-trends, .gemini/skills/github-ai-trends, .github/skills/github-ai-trends and .opencode/skills/github-ai-trends in your project.
What does GitHub AI Trends need to run?
Going by SKILL.md and its folder, GitHub AI Trends needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named GITHUB_TOKEN. Our summary lists: Python 3; A credential in GITHUB_TOKEN.
Does GitHub AI Trends access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is GitHub AI Trends safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does GitHub AI Trends use?
No licence was found for GitHub AI Trends or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does GitHub AI Trends use?
About 346 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to GitHub AI Trends?
Skills that share tags, products or a category with GitHub AI Trends: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains GitHub AI Trends?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 342 GitHub stars. The repository holds 235 skills in this directory. The repository was last updated on October 6, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.