Borrowing it
Nothing to install: this file belongs to PedroMosquera/squadai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PedroMosquera/squadai/main/.claude/skills/find-skills/SKILL.mdgit clone --depth 1 https://github.com/PedroMosquera/squadaiWrote 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/pedromosquera/squadai/find-skills)<a href="https://agentmods.dev/skills/pedromosquera/squadai/find-skills"><img src="https://agentmods.dev/badge/skills/pedromosquera/squadai/find-skills/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/pedromosquera/squadai/find-skills"><img src="https://agentmods.dev/badge/skills/pedromosquera/squadai/find-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00005 | $0.00366 |
| Opus 5 | $0.00003 | $0.00183 |
| Sonnet 5 | $0.00001 | $0.00073 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
find-skills 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
name: find-skills description: Discover and install community skills from the Vercel skills ecosystem
Find Skills
Search and install community-maintained skill definitions from the Vercel skills ecosystem (skills.sh). Use this when the user needs capabilities not covered by existing project skills.
When to Use
- The user asks for domain-specific guidance you lack (e.g., "how do I write Terraform modules?").
- The user explicitly asks to find or install new skills.
- You need a workflow or protocol for an unfamiliar technology or practice.
Commands
Search for skills
npx skills find [query]
Returns matching skills from the registry. Use specific queries: prefer
find react-testing over find testing.
Install a skill
npx skills install [skill-name]
Downloads the skill definition into the project. The installed skill is then available for the AI agent to load in future sessions.
Key Facts
- The registry at skills.sh contains 91K+ community skills across 40+ AI agents.
- Skills are static markdown files with structured instructions — no runtime dependency.
npx skillsrequires Node.js but does not add project dependencies.- SquadAI does not depend on this ecosystem. The AI agent runs these commands at the user's request to extend its own capabilities.
Protocol
- Confirm the user wants to search for or install a skill.
- Run
npx skills find [query]and present the results. - Let the user choose which skill to install.
- Run
npx skills install [skill-name]. - Read the installed skill file to verify it was added correctly.
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 · 57 lines · 5 tokens per session scan A 3f3f0000d29f
find-skills is a skill published in the GitHub repository PedroMosquera/squadai (8 stars, last pushed 1mo ago), licensed MIT. It adds 5 tokens to every session and 366 once invoked, about $0.0000 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 2026-08-31.
Other skills, from other repositories
harness-engineering
Use when the user asks to improve, fix, or build their repository's AI harness — AGENTS.md, rules, skills, commands, hooks, guardrails, CI sensors — or to act on harness-score audit findings and raise their maturity level.
gap
Measure the loaded-versus-fired gap - what fraction of each category of loaded context is ever actually invoked, and which MCP tools return mostly noise. Use when asked how much of the context is earning its place, or which categories are worst.
reap
Report how much of the context this agent loads is never used - unused skills, MCP servers, subagents, hooks and always-loaded prose - measured from real session transcripts. Use when asked why the context window is full, what is wasting tokens, or what is safe to remove.
replay
Find, analyze, and share AI coding sessions with vibe-replay. Use when the user asks for a replay, wants to find a past session, run a session retro, share Cursor/Claude/Codex session context, or attach session context to a PR.
skill-doctor
Use the skill-doctor CLI or UI to inspect and manage AI-agent skills, rules, instructions, MCP resources, and context cost across supported platforms. Trigger when the user asks to scan or audit agent skills, find duplicates or trigger conflicts, investigate unsafe instructions, estimate context-token cost, compare…
skill-doctor-context-optimizer
Interactively keep the skills, MCP servers/tools, and plugins relevant to the user's current task, preview project-local disables for the rest, apply only explicitly confirmed controls through skill-doctor, and report approximate context-token savings. Trigger when the user asks to slim, optimize, prune, or reduce the…