Borrowing it
Nothing to install: this file belongs to fabb/WigAI. 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/fabb/WigAI/main/.claude/skills/bmad-check-implementation-readiness/SKILL.mdgit clone --depth 1 https://github.com/fabb/WigAIWrote 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/fabb/wigai/bmad-check-implementation-readiness)<a href="https://agentmods.dev/skills/fabb/wigai/bmad-check-implementation-readiness"><img src="https://agentmods.dev/badge/skills/fabb/wigai/bmad-check-implementation-readiness.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 | $0.00032 | $0.00048 |
| Opus 5 | $0.00016 | $0.00024 |
| Sonnet 5 | $0.00006 | $0.00010 |
| Haiku 4.5 | $0.00003 | $0.00005 |
Grade A, and why
bmad-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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- steps/step-01-document-discovery.md 4.8 KB
- steps/step-02-prd-analysis.md 4.3 KB
- steps/step-03-epic-coverage-validation.md 4.0 KB
- steps/step-04-ux-alignment.md 3.2 KB
- steps/step-05-epic-quality-review.md 6.6 KB
- steps/step-06-final-assessment.md 3.2 KB
- templates/readiness-report-template.md 95 B
- workflow.md 2.7 KB
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 · 7 lines · 32 tokens per session scan A 307f083fc05c
bmad-check-implementation-readiness is a skill published in the GitHub repository fabb/WigAI (56 stars, last pushed 4mo ago), with no licence file. It adds 32 tokens to every session and 48 once invoked, about $0.0002 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 2026-08-30.
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