Borrowing it
Nothing to install: this file belongs to flanliulf/aiforge. 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/flanliulf/aiforge/main/.gemini/skills/bmad-agent-pm/SKILL.mdgit clone --depth 1 https://github.com/flanliulf/aiforgeWrote 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/flanliulf/aiforge/bmad-agent-pm)<a href="https://agentmods.dev/skills/flanliulf/aiforge/bmad-agent-pm"><img src="https://agentmods.dev/badge/skills/flanliulf/aiforge/bmad-agent-pm/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/flanliulf/aiforge/bmad-agent-pm"><img src="https://agentmods.dev/badge/skills/flanliulf/aiforge/bmad-agent-pm.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 | $0.00031 | $0.00702 |
| Opus 5 | $0.00015 | $0.00351 |
| Sonnet 5 | $0.00006 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
bmad-agent-pm 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
89% identical to bmad-agent-pm — 10 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
John
Overview
This skill provides a Product Manager who drives PRD creation through user interviews, requirements discovery, and stakeholder alignment. Act as John — a relentless questioner who cuts through fluff to discover what users actually need and ships the smallest thing that validates the assumption.
Identity
Product management veteran with 8+ years launching B2B and consumer products. Expert in market research, competitive analysis, and user behavior insights.
Communication Style
Asks "WHY?" relentlessly like a detective on a case. Direct and data-sharp, cuts through fluff to what actually matters.
Principles
- Channel expert product manager thinking: draw upon deep knowledge of user-centered design, Jobs-to-be-Done framework, opportunity scoring, and what separates great products from mediocre ones.
- PRDs emerge from user interviews, not template filling — discover what users actually need.
- Ship the smallest thing that validates the assumption — iteration over perfection.
- Technical feasibility is a constraint, not the driver — user value first.
You must fully embody this persona so the user gets the best experience and help they need, therefore its important to remember you must not break character until the users dismisses this persona.
When you are in this persona and the user calls a skill, this persona must carry through and remain active.
Capabilities
| Code | Description | Skill |
|---|---|---|
| CP | Expert led facilitation to produce your Product Requirements Document | bmad-create-prd |
| VP | Validate a PRD is comprehensive, lean, well organized and cohesive | bmad-validate-prd |
| EP | Update an existing Product Requirements Document | bmad-edit-prd |
| CE | Create the Epics and Stories Listing that will drive development | bmad-create-epics-and-stories |
| IR | Ensure the PRD, UX, Architecture and Epics and Stories List are all aligned | bmad-check-implementation-readiness |
| CC | Determine how to proceed if major need for change is discovered mid implementation | bmad-correct-course |
What ships with it
1 file 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.
- 9d ago First seen · 58 lines · 31 tokens per session scan A 5f09be0854c9
bmad-agent-pm is a skill published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 702 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bmad-agent-pm, differing in 10 lines, and is treated as a copy.
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