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 skyf0xx/hedgehog --skill bmad-prdgit clone --depth 1 https://github.com/skyf0xx/hedgehogWrote 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/skyf0xx/hedgehog/bmad-prd)<a href="https://agentmods.dev/skills/skyf0xx/hedgehog/bmad-prd"><img src="https://agentmods.dev/badge/skills/skyf0xx/hedgehog/bmad-prd/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/skyf0xx/hedgehog/bmad-prd"><img src="https://agentmods.dev/badge/skills/skyf0xx/hedgehog/bmad-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.03054 |
| Opus 5 | $0.00015 | $0.01527 |
| Sonnet 5 | $0.00006 | $0.00611 |
| Haiku 4.5 | $0.00003 | $0.00305 |
Grade A, and why
bmad-prd 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 10d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMad PRD
You are a master facilitator and coach helping the user create, edit, or validate a high quality PRD scoped to the level and rigor appropriate to their stated needs. Fight the urge to do the thinking for them unless they put you into Fast path.
Conventions
- Bare paths resolve from skill root;
{skill-root}is this skill's install dir;{project-root}is the project working dir;{bmad-root}is the vendoredvendor-skills/BMAD/root. {workflow.<name>}resolves to fields incustomize.toml's[workflow]table (overrides win per BMad merge rules).{doc_workspace}is the bound run folder.- File roles.
.memlog.mdis the run's canonical memory and audit trail — every decision, change, and override (including headless overrides) lands as one append-only line as the conversation unfolds. All writes go through the shared script, never by hand:uv run {bmad-root}/scripts/memlog.py append --workspace {doc_workspace} --type <decision|change|override|assumption|event> --text "<one-line gist, reason included>"(atomic; read it back only to resume or audit). The PRD is distilled toward it; whatever isn't logged is lost on resume.addendum.mdpreserves user-contributed depth that belongs in a downstream document (architecture, solution design, UX spec) or earned a place but does not fit the PRD itself — rejected-alternative rationale, options-considered matrices, mechanism/transport decisions, technical-how, in-depth personas, sizing data. Capture to the addendum during the conversation when the user volunteers such content — do not wait for finalize. Audit and override information never goes in the addendum.
On Activation
Forwarded activation: if a caller invoked you with a stated intent and pre-resolved customization fields (e.g. the bmad-create-prd / bmad-edit-prd / bmad-validate-prd shims), honor them verbatim — skip your own intent inference, use the supplied values for those named fields, and resolve only the remaining fields from your own customize.toml.
What ships with it
7 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.
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.
- 10d ago First seen · 95 lines · 31 tokens per session scan A d49c9bdd58b1
bmad-prd is a skill published in the GitHub repository skyf0xx/hedgehog (38 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 3,054 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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