Borrowing it
Nothing to install: this file belongs to CSOAI-ORG/councilof-ai. 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/CSOAI-ORG/councilof-ai/master/.claude/skills/coai-frontend/SKILL.mdgit clone --depth 1 https://github.com/CSOAI-ORG/councilof-aiWrote 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/csoai-org/councilof-ai/coai-frontend)<a href="https://agentmods.dev/skills/csoai-org/councilof-ai/coai-frontend"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/coai-frontend/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/csoai-org/councilof-ai/coai-frontend"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/coai-frontend.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 | $0.00000 | $0.01849 |
| Opus 5 | $0.00000 | $0.00924 |
| Sonnet 5 | $0.00000 | $0.00370 |
| Haiku 4.5 | $0.00000 | $0.00185 |
Grade A, and why
coai-frontend 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Council of AI — Front-End SME
What COAI is (the source of truth all copy aligns to)
An independent measurement instrument. We measure AI systems against the rules that govern them, sign the result (Ed25519), and publish what we cannot yet measure. Not a certifier, not an enforcer, no accreditation chain. Method: deterministic gold labels · no model judges another · unparsed counts incorrect · nothing quoted below n≥30 · every number recomputable from its rows · corrections published never silently edited.
The site at a glance
- Stack: Vite + React + wouter + Tailwind in
client/. Rootsrc/is dead — ignore it. - Scale: ~417 routes, ~276 page files. This is 10× too many for the primary experience.
- Deploy: CF Pages project
councilof-ai. Build+deploy from the Mac:npx vite build --config client/vite.config.tsthenCLOUDFLARE_API_TOKEN=<pages-edit-token> wrangler pages deploy dist/client --project-name=councilof-ai --branch=main --commit-dirty=true(token is account-level Pages:Edit, installed on the pod at/root/.sovos/cf.env; also usable from Mac.) - Lazy chunks: SovOS/axis data lives in
SovOS.r2-*.js, not the HTML shell — grep the chunk, not just index.html, when verifying live.
The 8 content sectors (library taxonomy + KB domains)
- EU AI Act / Regulation (~33) — Art 5, Art 50, Annex III, DORA, NIS2, CRA, GDPR crosswalks. Biggest sector.
- GSPC Axes / Benchmarks (~9 core) — the 13 axes; the flagship.
- Governance / Frameworks — NIST AI RMF, ISO 42001, OSCAL, readiness.
- Certification / Academy (~22–94 touch) — MUST reframe: COAI does NOT certify. Fold to "Council Academy / course completion attests training, not conformity."
- Regions / Countries — jurisdiction pages (TC260, UK, EU, US).
- Layer-0 / MCP / Tech — compliance MCPs, C2PA/Art 50 watermarking, signature verification.
- OS / Product / Demo — Council OS (never "Sovereign OS"), arena, city, globe.
- Company / About / Legal — charter, pricing, privacy, contact.
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.
- 12d ago First seen · 74 lines · 0 tokens per session scan A a307a40bbdd7
coai-frontend is a skill published in the GitHub repository CSOAI-ORG/councilof-ai (1 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,849 tokens. 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
codegen-react
Scaffold and iterate on Vite + React applications.
codegen-html
Scaffold and iterate on standalone Preact + HTM applications with zero build dependencies.
design-taste-frontend
Use for visual design direction on greenfield, user-facing surfaces — marketing and landing pages, generated apps, portfolio-style or standalone pages. NOT for routine Archestra platform UI work (dashboards, data tables, settings, forms, existing components) — use archestra-dev-frontend for that. Upstream intent…
archestra-dev-frontend
Use when modifying Archestra frontend Next.js/React code, UI components, forms, TanStack Query hooks, generated API client usage, frontend copy, or documentation links.
algolia-search-v2
Algolia Search Integration workflow skill. Use this skill when the user needs Expert patterns for Algolia search implementation, indexing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
stellar-forge
Eval-driven coding harness for building production Stellar dApps. Routes tasks to 6 specialist agents, verifies output with structured evals, steers on failure, e2e-tests with Stellar Agentic Kit hooks, and knowledge-graphs every project. Use when building any Stellar app — tokens, DeFi, NFTs, payment APIs, or full…