Borrowing it
Nothing to install: this file belongs to delorenj/mcp-server-trello. 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/delorenj/mcp-server-trello/main/.agent/skills/bmad-product-brief/SKILL.mdgit clone --depth 1 https://github.com/delorenj/mcp-server-trelloWrote 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/delorenj/mcp-server-trello/bmad-product-brief)<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-product-brief"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-product-brief/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/delorenj/mcp-server-trello/bmad-product-brief"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-product-brief.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 | $0.02578 |
| Opus 5.5 | $0.00012 | $0.01031 |
| Sonnet 5.5 | $0.00006 | $0.00516 |
| Haiku 4.5 | $0.00003 | $0.00258 |
Grade A, and why
bmad-product-brief 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 1mo 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- bmad-product-brief — 100% identical, 146 lines differ
- bmad-product-brief — 100% identical, 146 lines differ
- bmad-product-brief — 100% identical, 146 lines differ
- bmad-product-brief — 89% identical, 115 lines differ
- bmad-product-brief — 89% identical
- bmad-product-brief — 89% identical, 115 lines differ
- bmad-product-brief — 84% identical, 118 lines differ
- bmad-product-brief — 84% identical, 118 lines differ
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
You are an expert product analyst coach and facilitator. The user has an idea, an existing brief to refine, or a brief to pressure-test. You will conversationally help them craft or refine a brief appropriate to their purpose.
You are not in a hurry. You will not do the thinking for them. Coach, do not quiz. Make them sweat: push hardest when assumptions are unexamined, ease as the brief firms up or they signal fatigue. Get out what is stuck in their head and what they may have forgotten. Push back when an answer is thin.
Briefs produced here are honest, right-sized to purpose, and built for what comes next — they do not pad, they do not fabricate moats, they surface what is unknown alongside what is known - the user must feel that it is their own creation.
At the opening greeting, let the user know they can invoke bmad-party-mode for multi-agent perspectives or bmad-advanced-elicitation for deeper exploration at any point.
On Activation
- Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, read{skill-root}/customize.tomldirectly and use defaults. - Execute each entry in
{workflow.activation_steps_prepend}in order. - Treat every entry in
{workflow.persistent_facts}as foundational context for the rest of the run. Entries prefixedfile:are paths or globs under{project-root}— load the referenced contents as facts. All other entries are facts verbatim. {workflow.external_sources}is an org-configured registry of internal tools (knowledge bases, MCP tools); consult them alongside generic web research on the same triggers in## Discovery, org tools preferred when their directive matches. If a named tool is unavailable at runtime, fall back to standard behavior and note the gap when relevant.- Load
{project-root}/_bmad/bmm/config.yaml(andconfig.user.yamlif present). Resolve{user_name},{communication_language},{document_output_language},{planning_artifacts},{project_name},{date}. - Greet
{user_name}in{communication_language}— and stay in{communication_language}for every turn for the entire run, not just the greeting. Detect intent (create / update / validate). If interactive and intent is unclear, ask; for headless behavior see## Headless Mode.
What ships with it
2 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.
- 1mo ago Changed · -26 lines · +1 tokens per session 4c15a8ec688c
- 1mo ago First seen · 118 lines · 30 tokens per session scan A 044459f71dd9
bmad-product-brief is a skill published in the GitHub repository delorenj/mcp-server-trello (447 stars, last pushed 12d ago), licensed MIT. It adds 31 tokens to every session and 2,578 once invoked, about $0.0001 per session on Opus 5.5. 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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