Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add frankxai/agentic-creator-os/plugin install agentic-creator-osWrote 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/commands/frankxai/agentic-creator-os/agent-quality)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/agent-quality"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/agent-quality.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00737 |
| Opus 5 | $0.00013 | $0.00368 |
| Sonnet 5 | $0.00005 | $0.00147 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
agent-quality 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 2d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/agent-quality — ACOS Agent Quality Audit
Run the deterministic 9-check structural audit over every .claude/agents/*.md file. Surfaces which agents need revision first.
This is the slash-command surface for the audit. The @meta-agent-quality-auditor subagent uses the same script.
Workflow
1. Determine scope
If $ARGUMENTS is empty → audit all agents.
If $ARGUMENTS is --json → output JSON for tooling/CI.
If $ARGUMENTS is an agent name (e.g., meta-acos-router) → audit just that one.
2. Run
node scripts/agents/audit-agent-quality.mjs $ARGUMENTS
Equivalent invocations:
npm run agents:quality— full audit, writes reportnpm run agents:quality:json— JSON to stdout (CI-friendly)
3. Report
The script writes two artifacts:
docs/acos/agent-quality-audit-<date>.md— human-readable ranked report.frankx/machine/agent-quality-audit-<date>.json— machine-readable snapshot
Console summary shows:
- Total audited
- Disqualified count (existential gate fail)
- L99-ready count (score 9/9)
- Mean score
- Top 8 priority fixes
4. The 9-check rubric (what it scores)
- Frontmatter complete — name/description/tools/model (EXISTENTIAL)
- Description with triggers — ≥50 chars + auto-fire cues
- Tools minimality — every declared tool referenced in Process
- Template-v2 sections — ≥8 of 10 canonical sections
- Memory contract — Process has recall + remember
- Anti-patterns — ≥4 negation bullets in §8
- Brand voice clean — zero AI-slop hits (EXISTENTIAL)
- No Arcanean leak — zero quarantine matches in prose (EXISTENTIAL)
- Smoke fixture exists — tests/fixtures//smoke.mjs present
5. When to dispatch the agent instead
Use @meta-agent-quality-auditor (subagent) instead of /agent-quality (slash) when:
- The audit is part of a larger orchestrated flow
- You want the result to come back as a structured JSON for downstream tooling
- You need the audit to run with memory recall (subagent does step 0 memory load)
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.
- 2d ago First seen · 73 lines · 25 tokens per session scan A eb6f5852f304
agent-quality is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 25 tokens to every session and 737 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
security-audit-static
Static security audit of AI-built code — map trust boundaries, cross-reference documented intent, self-refute every finding, and report only evidence-backed risks.
sprint
Sprint lifecycle — plan a sprint, run a retrospective, or generate release notes.
performance-audit-static
Static performance audit of AI-built code — find N+1 queries and request waterfalls, over-fetching, missing indexes, and caching opportunities, ranked by effort and impact.
analyze-test
Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations.
document-app
Reverse-engineer an AI-built codebase into the system documents reviewers and auditors need — a core set (architecture, flows, permissions, variables) plus conditional docs (emails, cron, SEO, automation) when they apply.
meeting-notes
Summarize a meeting transcript into structured notes with decisions, action items, and follow-ups.