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 review-a-skillgit 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/review-a-skill)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/review-a-skill"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/review-a-skill/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/review-a-skill"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/review-a-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 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 26 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 34 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 40 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 46 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 47 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]
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 | $0.00037 | $0.00528 |
| Opus 5 | $0.00018 | $0.00264 |
| Sonnet 5 | $0.00007 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
review-a-skill 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review A Skill
Goal
Evaluate a single skill's quality, relevance, and safety before it enters or stays in a library.
Guardrails
- Always use
--format jsonfor machine-readable output in automated pipelines. - Always use
--fieldsto limit output size when inspecting catalog entries. - Always use
--dry-runbefore curating or removing a skill. - Never remove a skill without first checking if other skills depend on it via
info --format jsondependencies.
Workflow
- Preview the skill content to check for quality and safety.
npx ai-agent-skills preview <skill-name>
The preview command sanitizes content — if it flags sanitization, investigate before proceeding.
- Inspect the catalog entry for metadata completeness.
npx ai-agent-skills info <skill-name> --format json --fields name,description,tags,collections,dependencies
- Validate the skill's SKILL.md structure.
npx ai-agent-skills validate <skill-name>
- If the skill needs curation (notes, collections, verification):
npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verify --dry-run
npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verify
- If the skill should be removed:
npx ai-agent-skills curate <skill-name> --remove --dry-run
npx ai-agent-skills curate <skill-name> --remove --yes
Decision Criteria
- Keep: Clear description, valid frontmatter, useful to the library's audience, no injection patterns.
- Curate: Needs better whyHere, collection placement, or verification status.
- Remove: Duplicate, outdated, broken source, or contains suspicious content.
Gotchas
- The
previewcommand only works for vendored (house) skills. Upstream skills show description and whyHere only. - The
validatecommand checks frontmatter structure but not content quality — that requires human or agent judgment. - Removing a skill that other skills depend on will break the dependency graph. Always check
dependencies.usedByfirst.
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 · 68 lines · 37 tokens per session scan A ace6cea03894
review-a-skill is a skill published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,134 stars, last pushed 25d ago), licensed MIT. It adds 37 tokens to every session and 528 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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