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 big-emotion/agent-atelier --skill project-standard-auditgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/project-standard-audit)<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/project-standard-audit"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/project-standard-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/big-emotion/agent-atelier/project-standard-audit"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/project-standard-audit.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 | $0.00093 | $0.03354 |
| Opus 5 | $0.00046 | $0.01677 |
| Sonnet 5 | $0.00019 | $0.00671 |
| Haiku 4.5 | $0.00009 | $0.00335 |
Grade A, and why
project-standard-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 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Big Emotion Project Standard Audit
Read-only audit of the project defined in this repo. Produces a scored, evidence-based report and refreshes docs/PRODUCTION-READINESS-AUDIT.md.
This skill never modifies source, never bumps versions, never tags, never pushes, never deploys, never writes to external services. It only reads, runs the repo's own gates, and writes the audit doc. Fixing anything it finds is deferred to normal ticketed work or /project-standard-release.
Footprint disclosure: the full audit runs npm ci (refreshes node_modules from the lockfile), npm test, and npm run check:templates — none of which touch tracked files. The only tracked-file change the audit produces is docs/PRODUCTION-READINESS-AUDIT.md (the docs/ directory is created on first run).
When to Activate
- User asks: "is the plugin production-ready", "is it ready to ship", "audit project-standard", "score the project".
- User asks specifically about security posture, template coherence, or overall score.
- User invokes
/project-standard-audit.
Preconditions
Run from the repo root (package.json with "name": "@big-emotion/agent-atelier" — the scoped npm name). If not, stop and tell the user to cd into the repo.
Inputs
Optional argument: --quick — skip the long/costly gates (test suite, template checker via a fresh npm ci). Rely instead on the most recent CI run (gh run list --workflow ci.yml) and the newest local artifacts, and mark any domain scored from stale data as such.
Default: full audit.
Workflow
Step 1 — Snapshot the repo state
Run in parallel via Bash:
git status --porcelain— a dirty tree is auditable but must be reported.git log --oneline -15— recent cadence.git tag --sort=-creatordate | head -5— no tags yet is expected pre-launch; say so explicitly.jq '{name, version, private, packageManager, scripts}' package.json— version, scripts, package manager.ls .github/workflows/— workflow surface.ls plugins/project-standard/skills/setup/templates/ plugins/project-standard/skills/setup/references/— the product's structural map (this repo has nodocs/until the first audit writes it).
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 · 153 lines · 93 tokens per session scan A 8041f5405c2e
project-standard-audit is a skill published in the GitHub repository big-emotion/agent-atelier (2 stars, last pushed 5d ago), licensed MIT. It adds 93 tokens to every session and 3,354 once invoked, about $0.0005 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.
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