agent-skill-repository-index

agent-skill-repository-index is a skill for Claude Code, Codex from aAAaqwq/AGI-Super-Team. It costs 41 tokens per session (771 once invoked), scanned A, original, MIT.

An index of reviewed GitHub sources for finding coding-agent skills, with guidance for comparing, checking, installing, updating, linking, or removing one selected skill.

In plain words
What is it for?
Use it to discover high-star skills, compare possible sources, verify links, or safely install, update, migrate, link, or remove a chosen skill.
Why use it?
It narrows a large set of repositories to a small, reviewed shortlist and adds checks for source identity, compatibility, maintenance, licensing, and risk.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Codex.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

Good fit Use it to discover high-star skills, compare possible sources, verify links, or safely install, update, migrate, link, or remove a chosen skill.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaaaqwq/agi-super-team/agent-skill-repository-index
Install

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.

Any agent
npx skills add aAAaqwq/AGI-Super-Team --skill agent-skill-repository-index
Clone the repo
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code, Codex.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

Wrote 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.

agentmods badge for agent-skill-repository-index

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-skill-repository-index/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-skill-repository-index)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-skill-repository-index"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-skill-repository-index/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.

agentmods 80×15 button for agent-skill-repository-index

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-skill-repository-index"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-skill-repository-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00771
Opus 5 $0.00020 $0.00385
Sonnet 5 $0.00008 $0.00154
Haiku 4.5 $0.00004 $0.00077

Measured 11d ago against content hash 89a70aaa8097, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-skill-repository-index 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify_repository_index.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

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
skills/agent-skill-repository-index/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 52 lines

Files

What ships with it

5 files 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.

Changes

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.

  1. 11d ago First seen · 52 lines · 41 tokens per session scan A 89a70aaa8097

Subscribe to this mod's changes

agent-skill-repository-index is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 771 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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