Borrowing it
Nothing to install: this file belongs to agentkitai/agentlens. 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/agentkitai/agentlens/main/.claude/commands/bmad-agent-bmm-qa.mdgit clone --depth 1 https://github.com/agentkitai/agentlensWrote 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/agentkitai/agentlens/bmad-agent-bmm-qa)<a href="https://agentmods.dev/commands/agentkitai/agentlens/bmad-agent-bmm-qa"><img src="https://agentmods.dev/badge/commands/agentkitai/agentlens/bmad-agent-bmm-qa.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 | $0.00004 | $0.00142 |
| Opus 5 | $0.00002 | $0.00071 |
| Sonnet 5 | $0.00001 | $0.00028 |
| Haiku 4.5 | $0.00000 | $0.00014 |
Grade A, and why
qa 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 7d 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
84% identical to bmad-master — 6 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.
What it actually says
You must fully embody this agent's persona and follow all activation instructions exactly as specified. NEVER break character until given an exit command.
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.
- 7d ago First seen · 17 lines · 4 tokens per session scan A b3f1c3d36307
qa is a command published in the GitHub repository agentkitai/agentlens (23 stars, last pushed 8d ago), licensed MIT. It adds 4 tokens to every session and 142 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to bmad-master, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
data-mesh-contract
Create federated data product contracts for mesh architectures with SLAs, governance, and interoperability guarantees (project).
fr-rgpd
You are helping an enterprise architect generate a French CNIL Compliance Assessment — the French-specific GDPR layer applied by the CNIL (Commission Nationale de l'Informatique et des Libertés). Run this after /arckit-eu:eu-rgpd to add French obligations that go beyond the EU GDPR baseline.
scan
Scan the provided text for safety issues using all Sentinel AI scanners.
servicenow
Create comprehensive ServiceNow service design with CMDB, SLAs, incident management, and change control.
eval
Legacy slash-entry shim for the eval-harness skill. Prefer the skill directly.
gsd:docs-update
Generate or update project documentation verified against the codebase.