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 browse-and-evaluategit 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/browse-and-evaluate)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/browse-and-evaluate"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/browse-and-evaluate/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/browse-and-evaluate"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/browse-and-evaluate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 27 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 33 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 39 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 45 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 51 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 | $0.00043 | $0.00433 |
| Opus 5 | $0.00022 | $0.00217 |
| Sonnet 5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
browse-and-evaluate 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 13d 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.
What it actually says
Browse And Evaluate
Goal
Find the right skill for a task without flooding the context window or installing blindly.
Guardrails
- Always use
--fieldson list/search/info to keep output small. Default:--fields name,tier,workArea,description. - Always use
--dry-runbefore installing anything. - Never install more than 3 skills at once without explicit user confirmation.
- Prefer
--format jsonin non-interactive pipelines. The CLI defaults to JSON when stdout is not a TTY. - Use
--limitwhen browsing large catalogs. Start with--limit 10.
Workflow
- Search or browse the catalog.
npx ai-agent-skills search <query> --fields name,tier,workArea,description --limit 10
- Get details on a candidate.
npx ai-agent-skills info <skill-name> --fields name,description,tags,collections,installCommands
- Preview the skill content.
npx ai-agent-skills preview <skill-name>
- Dry-run the install.
npx ai-agent-skills install <skill-name> --dry-run
- Install only after reviewing the dry-run output.
npx ai-agent-skills install <skill-name>
Gotchas
- The
previewcommand sanitizes skill content to strip prompt injection patterns. If content looks truncated, check if suspicious patterns were removed. - Collection installs pull multiple skills. Always
--listor--dry-runa collection before installing. - Upstream (non-vendored) skills require a network fetch at install time. Use
--dry-runto verify the source is reachable.
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.
- 13d ago First seen · 59 lines · 43 tokens per session scan A 9b2d44d35466
browse-and-evaluate is a skill published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,134 stars, last pushed 26d ago), licensed MIT. It adds 43 tokens to every session and 433 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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