AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill accesslint-auditgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/accesslint-audit)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/accesslint-audit"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accesslint-audit/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/sickn33/agentic-awesome-skills/accesslint-audit"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accesslint-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01710 |
| Opus 5 | $0.00037 | $0.00855 |
| Sonnet 5 | $0.00015 | $0.00342 |
| Haiku 4.5 | $0.00007 | $0.00171 |
Grade A, and why
accesslint-audit 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
- accesslint-audit — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You audit accessibility and optionally fix what's broken.
When to Use
- Use this skill when the task matches this description: Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits.
Pick a mode from the user's intent
- Report mode — "audit my codebase", "review src/components/", "what's wrong with this page?", "give me an a11y report". You audit + write a report. You do not edit files.
- Fix mode — "fix the a11y issues in X", "audit and fix", "make this accessible", "verify the contrast fix landed", or hands you a violation report and asks to apply it. You audit → edit → verify.
If unsure, ask. Don't default-to-fix when the user only asked for an audit.
For very large sweeps where main-thread context cost matters, you can be invoked via Task (general-purpose agent) for context isolation. The recipe is the same either way.
Picking a flow
Three flows, in order of preference.
audit_live— try first for any URL. Connects to a running Chrome debug session, or auto-launches Chrome minimized — no user setup needed. Single call; IIFE bytes don't enter your context.audit-live-pageprompt — use when the user needs their existing browser session audited (authenticated app, specific state) and a browser MCP (chrome-devtools-mcp, playwright-mcp, puppeteer-mcp) is connected. Invoke viaSkillwithmode: "fix"ormode: "plan".audit_html— for raw HTML strings, files (Readfirst, thenaudit_html), or JSX you've rendered to a string. Pair withaudit_diff({ html })for fix-mode verification.
For non-URL targets, skip straight to flow 3. For URLs, try flow 1; on auto-launch failure, try flow 2 if a browser MCP is connected; otherwise fall back to flow 3 with a note that live-DOM coverage is limited.
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 · 116 lines · 75 tokens per session scan A bb18c5156d75
accesslint-audit is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,710 once invoked, about $0.0004 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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