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 install-from-remote-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/install-from-remote-library)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/install-from-remote-library"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/install-from-remote-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/install-from-remote-library"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/install-from-remote-library.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 38 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 44 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 50 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 | $0.00044 | $0.00494 |
| Opus 5 | $0.00022 | $0.00247 |
| Sonnet 5 | $0.00009 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
install-from-remote-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 11d 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
Install From Remote Library
Goal
Install from a shared library repo without guessing, over-installing, or skipping the preview step.
Invariants
- Always inspect the remote library first with
install <source> --list. - Prefer
--collectionwhen the library clearly exposes a starter pack or focused bundle. - Always run
--dry-runbefore the real install. - Keep the install small. Do not pull a whole library when the user only needs a narrow slice.
Workflow
- Inspect the source library.
npx ai-agent-skills install <owner>/<repo> --list
- Choose the smallest fitting target.
- Prefer
--collection starter-packor another named collection when it matches the user's need. - Use
--skill <name>only when the user needs one specific skill or the library has no useful collection. - Do not combine
--collectionand--skill.
- Preview the install plan before mutating anything.
npx ai-agent-skills install <owner>/<repo> --collection starter-pack --dry-run -p
or
npx ai-agent-skills install <owner>/<repo> --skill <skill-name> --dry-run -p
- If the plan looks right, run the real install with the same scope.
npx ai-agent-skills install <owner>/<repo> --collection starter-pack -p
Decision Rules
- If the library has a curated collection that already matches the user's stack, use it.
- If the remote library is empty or the list output is unclear, stop and report that instead of guessing.
- If the install path throws an
ERROR/HINT, surface that verbatim and follow the hint before retrying. - If the user is exploring a large library, keep them in browse mode first rather than installing immediately.
Done
Return:
- what source library you inspected
- which collection or skill you chose
- the dry-run result
- the exact final install command you used
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.
- 11d ago First seen · 68 lines · 44 tokens per session scan A 261f8ee151f5
install-from-remote-library is a skill published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,134 stars, last pushed 24d ago), licensed MIT. It adds 44 tokens to every session and 494 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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