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-bmm-check-implementation-readiness.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-bmm-check-implementation-readiness)<a href="https://agentmods.dev/commands/agentkitai/agentlens/bmad-bmm-check-implementation-readiness"><img src="https://agentmods.dev/badge/commands/agentkitai/agentlens/bmad-bmm-check-implementation-readiness/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/commands/agentkitai/agentlens/bmad-bmm-check-implementation-readiness"><img src="https://agentmods.dev/badge/commands/agentkitai/agentlens/bmad-bmm-check-implementation-readiness.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 | $0.00039 | $0.00103 |
| Opus 5 | $0.00019 | $0.00051 |
| Sonnet 5 | $0.00008 | $0.00021 |
| Haiku 4.5 | $0.00004 | $0.00010 |
Grade A, and why
check-implementation-readiness 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 9d 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 check-implementation-readiness — 4 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
IT IS CRITICAL THAT YOU FOLLOW THIS COMMAND: LOAD the FULL @{project-root}/_bmad/bmm/workflows/3-solutioning/check-implementation-readiness/workflow.md, READ its entire contents and follow its directions exactly!
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.
- 9d ago First seen · 8 lines · 39 tokens per session scan A 41f64c9f81b1
check-implementation-readiness is a command published in the GitHub repository agentkitai/agentlens (23 stars, last pushed 10d ago), licensed MIT. It adds 39 tokens to every session and 103 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to check-implementation-readiness, differing in 4 lines, and is treated as a copy.
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