AI Agent Skills is a curated library and package manager for installing, organizing, and creating skills for compatible AI coding agents. It is for developers who want to manage reusable agent instructions through a command-line or terminal interface. The catalogue skills and agents are examples of the kind of add-ons it helps manage.
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 MoizIbnYousaf/Ai-Agent-Skills --skill curate-a-team-librarygit clone --depth 1 https://github.com/MoizIbnYousaf/Ai-Agent-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/moizibnyousaf/ai-agent-skills/curate-a-team-library)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/curate-a-team-library"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/curate-a-team-library/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/moizibnyousaf/ai-agent-skills/curate-a-team-library"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/curate-a-team-library.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 21 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 53 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 54 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 55 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 112 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 120 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 121 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 122 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00049 | $0.00930 |
| Opus 5 | $0.00024 | $0.00465 |
| Sonnet 5 | $0.00010 | $0.00186 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
curate-a-team-library scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Curate A Team Library
Goal
Build a managed skills library that another teammate or agent can actually browse, trust, and install.
Do not hand-edit skills.json, README.md, or WORK_AREAS.md when the CLI already has the mutation you need.
First Move
Start with a managed workspace.
npx ai-agent-skills init-library <name>
cd <name>
Ask at most 3 short questions before acting:
- what kinds of work the library needs to support
- whether the first pass should stay small and opinionated or aim broader
- whether the output should stay local or end as a shareable GitHub repo
Shelf System
Use these 5 work areas as the shelf system:
frontend: web UI, browser work, design systems, visual polishbackend: APIs, data, security, infrastructure, runtime systemsmobile: iOS, Android, React Native, Expo, device testing, app deliveryworkflow: docs, testing, release work, files, research, planningagent-engineering: prompts, evals, tools, orchestration, agent runtime design
Map the user's stack to shelves before adding anything.
- Example:
React Native + Node backendmaps tomobile+backend. - Add
workflowonly when testing, release, docs, or research are real parts of the job. - Add
agent-engineeringonly when the team is doing AI features, prompts, evals, or tooling. - Make sure the first pass covers every primary shelf the user explicitly named.
Discovery Loop
Browse before curating.
npx ai-agent-skills list --area <work-area>
npx ai-agent-skills search <query>
npx ai-agent-skills collections
If the user named multiple primary shelves, inspect each one before choosing skills.
Mutation Rules
Keep the first pass small: around 3 to 8 skills.
- Use
addfirst for bundled picks and simple GitHub imports. - Use
catalogwhen you want an upstream entry without copying files intoskills/. - Use
vendoronly for true house copies the team wants to edit or own locally.
Every mutation must include explicit curator metadata like --area, --branch, and --why.
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.
- 12d ago First seen · 138 lines · 49 tokens per session scan A bc1eaa68ea55
curate-a-team-library is a skill published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,134 stars, last pushed 25d ago), licensed MIT. It adds 49 tokens to every session and 930 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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