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 weAAAre/a11y-agents-kit --skill find-skillsgit clone --depth 1 https://github.com/weAAAre/a11y-agents-kitWrote 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/weaaare/a11y-agents-kit/find-skills)<a href="https://agentmods.dev/skills/weaaare/a11y-agents-kit/find-skills"><img src="https://agentmods.dev/badge/skills/weaaare/a11y-agents-kit/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/weaaare/a11y-agents-kit/find-skills"><img src="https://agentmods.dev/badge/skills/weaaare/a11y-agents-kit/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 | $0.00067 | $0.01118 |
| Opus 5 | $0.00034 | $0.00559 |
| Sonnet 5 | $0.00013 | $0.00224 |
| Haiku 4.5 | $0.00007 | $0.00112 |
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 10d 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.
This is a copy
91% identical to find-skills — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Skills
This skill helps you discover and install skills from the open agent skills ecosystem.
When to Use This Skill
Use this skill when the user:
- Asks "how do I do X" where X might be a common task with an existing skill
- Says "find a skill for X" or "is there a skill for X"
- Asks "can you do X" where X is a specialized capability
- Expresses interest in extending agent capabilities
- Wants to search for tools, templates, or workflows
- Mentions they wish they had help with a specific domain (design, testing, deployment, etc.)
What is the Skills CLI?
The Skills CLI (npx skills) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools.
Key commands:
npx skills find [query]- Search for skills interactively or by keywordnpx skills add <package>- Install a skill from GitHub or other sourcesnpx skills check- Check for skill updatesnpx skills update- Update all installed skills
Browse skills at: https://skills.sh/
How to Help Users Find Skills
Step 1: Understand What They Need
When a user asks for help with something, identify:
- The domain (e.g., React, testing, design, deployment)
- The specific task (e.g., writing tests, creating animations, reviewing PRs)
- Whether this is a common enough task that a skill likely exists
Step 2: Search for Skills
Run the find command with a relevant query:
npx skills find [query]
For example:
- User asks "how do I make my React app faster?" →
npx skills find react performance - User asks "can you help me with PR reviews?" →
npx skills find pr review - User asks "I need to create a changelog" →
npx skills find changelog
The command will return results like:
Install with npx skills add <owner/repo@skill>
vercel-labs/agent-skills@vercel-react-best-practices
└ https://skills.sh/vercel-labs/agent-skills/vercel-react-best-practices
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.
- 10d ago First seen · 134 lines · 67 tokens per session scan A 54b44dc9539d
find-skills is a skill published in the GitHub repository weAAAre/a11y-agents-kit (33 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 1,118 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to find-skills, differing in 19 lines, and is treated as a copy.
Other skills, from other repositories
accessibility
Accessibility patterns for WCAG 2.2 compliance, keyboard focus management, React Aria component patterns, cognitive inclusion, native HTML-first philosophy, and user preference honoring. Use when implementing screen reader support, keyboard navigation, ARIA patterns, focus traps, accessible component libraries…
accessibility-testing-axe
Use when testing accessibility with axe.
workers-best-practices
Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.
find-journalists
Build, refine, dedupe, and enrich small fit-checked journalist lists for newsjack campaigns. Uses the newsjack CLI (preferred) or the medialyst MCP for news search and journalist enrichment, and falls back to a best-effort local mode with no verified contacts; the agent owns how returned data is organized.
story-origin-check
Recover the first public timestamp and canonical major coverage for a newsjacking signal, then decide whether newer coverage is the same story, a different story, or a materially new development.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.