Agent skill

Agent Skill Repository Index

by aAAaqwq in aAAaqwq/AGI-Super-Team

Find and compare Daniel's reviewed GitHub skill sources. An agent skill from aAAaqwq/AGI-Super-Team.

MITAuto-check passedAgent Workflows

Install Agent Skill Repository Index

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-skill-repository-index -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team agent-skill-repository-index --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-skill-repository-index .claude/skills/agent-skill-repository-index && rm -rf skills-src

Use ~/.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/

Facts

Skill name
agent-skill-repository-index
GitHub stars
105
Token cost
~901 tokens
SKILL.md length
394 words
Files
6 (incl. scripts, references)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

Find and compare Daniel's reviewed GitHub skill sources. An agent skill from aAAaqwq/AGI-Super-Team.

  • Works in 9 steps: Resolve intent: discovery, comparison,… → Search already installed skills first.… → Shortlist at most three sources by… → …
  • High-star skill discovery
  • SKILL.md covers Load Only What You Need, Fast Workflow, Efficient Search and Decision Rules
  • Runs Python scripts from its folder; calls rg and python3

What it does

Agent Skill Repository Index is an agent skill from aAAaqwq/AGI-Super-Team. Find and compare Daniel's reviewed GitHub skill sources. Use for high-star skill discovery, link checks, or safe installation, update, and removal of one selected skill.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/installing.md` and `references/repositories.md`).

It sits in Agent Workflows, covering Skill management. It works with GitHub. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • High-star skill discovery
  • Safe installation
  • Removal of one selected skill

Example prompts

  • “/agent-skill-repository-index”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Resolve intent: discovery, comparison, installation, update, removal, or link verification.
  2. Search already installed skills first. Reuse an equivalent Codex-native skill instead of adding a duplicate.
  3. Shortlist at most three sources by capability, runtime compatibility, maintenance, license, and risk class. Use stars only as a tie-breaker.
  4. If a repository is an awesome-* catalog or has no root SKILL.md, use it for discovery only. Trace the selected item to its original…
  5. Inspect one candidate directory completely: SKILL.md, adjacent resources, license, Git remote, commit, worktree state, scripts, hooks…
  6. Classify it as DAILY, LIBRARY, QUARANTINE, or DUPLICATE. Do not install QUARANTINE capabilities without explicit authorization for their…
  7. Follow references/installing.md. Install only the reviewed skill subdirectory, not the entire aggregator.
  8. Validate metadata and resources, then test one positive trigger and one negative trigger.
  9. Return an installation receipt containing upstream URL, local source, subpath, commit, license, class, target, install method…

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. 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:

    • rg
    • 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 no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Skill Repository Index loads about 901 tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 394 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~901
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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

The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 394 words, ~901 tokens.

Download SKILL.mdSave it as .claude/skills/agent-skill-repository-index/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
agent-skill-repository-index
description
Find and compare Daniel's reviewed GitHub skill sources. Use for high-star skill discovery, link checks, or safe installation, update, and removal of one selected skill.

Route agents to reviewed upstream repositories without globally activating every repository. Treat popularity as a discovery signal, never as proof of quality or safety.

Load Only What You Need

  • Read references/repositories.md to find and compare sources.
  • Read references/star-snapshot.md only when the user asks about popularity or ranking.
  • Read references/installing.md before installing, updating, linking, migrating, or removing a skill.
  • Run python3 scripts/verify_repository_index.py --repo-root /absolute/path/to/repos to verify index-to-clone identity. Add --remote when current GitHub reachability matters.

Fast Workflow

  1. Resolve intent: discovery, comparison, installation, update, removal, or link verification.
  2. Search already installed skills first. Reuse an equivalent Codex-native skill instead of adding a duplicate.
  3. Shortlist at most three sources by capability, runtime compatibility, maintenance, license, and risk class. Use stars only as a tie-breaker.
  4. If a repository is an awesome-* catalog or has no root SKILL.md, use it for discovery only. Trace the selected item to its original upstream.
  5. Inspect one candidate directory completely: SKILL.md, adjacent resources, license, Git remote, commit, worktree state, scripts, hooks, dependencies, credentials, network actions, and persistent state.
  6. Classify it as DAILY, LIBRARY, QUARANTINE, or DUPLICATE. Do not install QUARANTINE capabilities without explicit authorization for their runtime effects.
  7. Follow references/installing.md. Install only the reviewed skill subdirectory, not the entire aggregator.
  8. Validate metadata and resources, then test one positive trigger and one negative trigger.
  9. Return an installation receipt containing upstream URL, local source, subpath, commit, license, class, target, install method, adaptations, checks, update method, and rollback method.
Show full SKILL.md (143 more words)Show less

Search metadata before opening files:

bash
rg -n --glob 'SKILL.md' '^(name|description):.*KEYWORD' /absolute/path/to/repos

Then inspect only the chosen skill directory. Scan risky behavior without printing secret values:

bash
rg -l --hidden '(curl.+\|\s*(sh|bash)|sudo\b|rm\s+-rf|cookies?|auth|token|secret|hook|auto.?update|deploy|tunnel|daemon|memory)' /absolute/path/to/candidate

Decision Rules

  • Prefer the original upstream, a Codex-native plugin, or a single passive instruction skill.
  • Prefer a symlink for a clean reviewed local source that should update with its repository; prefer a normalized copy when Codex-specific adaptation is required.
  • Keep catalogs, full runtimes, hooks, MCP servers, auto-updaters, deployers, tunnels, browser profiles, and persistent-memory systems inactive during discovery.
  • Preserve dirty repositories and existing targets. Never overwrite or delete them to complete an installation.
  • Fetch live star counts only when the user asks for a current ranking. Label the bundled figures as Daniel's July 2026 snapshot.

For “redesign this landing page,” invoke the selected design skill. For “which high-star design skill repository does Daniel recommend, and install the safest option,” invoke this skill first.

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/agent-skill-repository-index of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • agents/openai.yaml
  • references/installing.md
  • references/repositories.md
  • references/star-snapshot.md
  • scripts/verify_repository_index.py

Open the folder on GitHubat commit 7cefd81

Compare with similar skills

Agent Skill Repository Index 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.

Agent Skill Repository Index compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Skill Repository Index this skillaAAaqwq/AGI-Super-Team105—~901Automated safety check: PassMIT
TeamAI Setup and LifecycleTencent/teamai-cli5.2k—~1.2kAutomated safety check: PassCustom licence
Dotagentsgetsentry/sentry-wizard295—~900Automated safety check: PassCustom licence
Skill Minerhqhq1025/skill-optimizer181—~719Automated safety check: PassMIT
Skill Base CLIginuim/skill-base121—~1.9kAutomated safety check: PassNone
Octocode Skills Managerbgauryy/octocode949—~1.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Agent Skill Repository Index

What does Agent Skill Repository Index do?

Find and compare Daniel's reviewed GitHub skill sources. An agent skill from aAAaqwq/AGI-Super-Team. Agent Skill Repository Index is an agent skill from aAAaqwq/AGI-Super-Team. Find and compare Daniel's reviewed GitHub skill sources.

When should I use Agent Skill Repository Index?

Agent Skill Repository Index fits situations like: high-star skill discovery; safe installation; removal of one selected skill.

How do I install Agent Skill Repository Index in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill agent-skill-repository-index -a claude-code`. Or copy the skill folder (skills/agent-skill-repository-index in aAAaqwq/AGI-Super-Team) into .claude/skills/agent-skill-repository-index in your project. Claude Code loads it when a task matches its description.

How do I install Agent Skill Repository Index in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill agent-skill-repository-index -a codex`. Or copy the skill folder (skills/agent-skill-repository-index in aAAaqwq/AGI-Super-Team) into .agents/skills/agent-skill-repository-index in your project. Codex loads it when a task matches its description.

Can I use Agent Skill Repository Index 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 aAAaqwq/AGI-Super-Team --skill agent-skill-repository-index -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-skill-repository-index, .gemini/skills/agent-skill-repository-index, .github/skills/agent-skill-repository-index and .opencode/skills/agent-skill-repository-index in your project.

What does Agent Skill Repository Index need to run?

Going by SKILL.md and its folder, Agent Skill Repository Index needs Python for the scripts in its folder and the command-line tools its instructions call (rg and python3). Our summary lists: Python 3.

Does Agent Skill Repository Index 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 Agent Skill Repository Index 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 Agent Skill Repository Index use?

Agent Skill Repository Index is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Skill Repository Index use?

About 901 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Agent Skill Repository Index?

Skills that share tags, products or a category with Agent Skill Repository Index: TeamAI Setup and Lifecycle (Tencent/teamai-cli, 5.2k stars), Dotagents (getsentry/sentry-wizard, 295 stars), Skill Miner (hqhq1025/skill-optimizer, 181 stars) and Skill Base CLI (ginuim/skill-base, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Skill Repository Index?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.