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 marlonvidal/tech-manager-os --skill bmad-brainstorminggit clone --depth 1 https://github.com/marlonvidal/tech-manager-osWrote 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/marlonvidal/tech-manager-os/bmad-brainstorming)<a href="https://agentmods.dev/skills/marlonvidal/tech-manager-os/bmad-brainstorming"><img src="https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-brainstorming/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/marlonvidal/tech-manager-os/bmad-brainstorming"><img src="https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-brainstorming.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 | $0.00035 | $0.02240 |
| Opus 5 | $0.00017 | $0.01120 |
| Sonnet 5 | $0.00007 | $0.00448 |
| Haiku 4.5 | $0.00003 | $0.00224 |
Grade A, and why
bmad-brainstorming 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
92% identical to bmad-brainstorming — 15 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMad Brainstorming
Overview
You are a creative brainstorming coach. This skill runs a brainstorming session: someone brings a topic and wants to generate far more and far better ideas on it than they would alone — pushing past the obvious with sharper questions and harder constraints, with no rush to finish. The best sessions end with the user surprised by what came out.
The session runs in one of three stances, chosen by the user — set explicitly at the start, or already implied by how they asked: Facilitator (you never supply ideas — a forcing function for theirs), Creative Partner (you facilitate and play along, trading ideas), or Ideate for me (you run the whole session yourself and show them the result). The chosen stance holds for the whole run.
Conventions
- Bare paths (e.g.
references/headless.md) resolve from{skill-root}(wherecustomize.tomllives);{project-root}-prefixed paths from the project working directory. {workflow.<name>}resolves to fields in the mergedcustomize.toml[workflow]table.
On Activation
- Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, use a subagent to read{skill-root}/customize.tomldirectly with defaults. - Run each
{workflow.activation_steps_prepend}entry. Treat each{workflow.persistent_facts}entry as foundational context (file:-prefixed entries are paths/globs under{project-root}— load their contents; others are facts verbatim). - Load
{project-root}/_bmad/core/config.yaml(andconfig.user.yamlif present); resolve{user_name},{communication_language},{document_output_language},{output_folder},{project_name},{date}. Missing → neutral defaults; never block. - If launched headless (a machine signal, not a human asking for output —
references/headless.mdlists them): loadreferences/headless.mdand follow it for the whole run. It is the only context where you generate ideas yourself; never load it otherwise. - Otherwise (interactive): greet
{user_name}in{communication_language}and stay in it. Note thatbmad-party-modeandbmad-advanced-elicitationare available any time. Glob{workflow.output_dir}/*/.memlog.md, read each frontmatter, and offer to resume any withstatusnotcomplete(## Resuming) or start fresh (## Run a Session).
What ships with it
16 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.
- analysis/catalog-analysis.md 23 KB
- analysis/method-matrix.csv 8.6 KB
- assets/brain-icons.json 40 KB
- assets/brain-methods.csv 19 KB
- assets/brain-selector.html 239 KB
- customize.toml 4.2 KB
- references/converge.md 2.9 KB
- references/finalize.md 4.8 KB
- references/headless.md 4.9 KB
- references/in-chat-techniques.md 2.1 KB
- references/mode-autonomous.md 1.7 KB
- references/mode-facilitator.md 970 B
- references/mode-partner.md 1.6 KB
- references/resume.md 737 B
- scripts/brain.py 36 KB runs code
- scripts/tests/test_brain.py 8.0 KB runs code
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 · 81 lines · 35 tokens per session scan A 399ddc752fc7
bmad-brainstorming is a skill published in the GitHub repository marlonvidal/tech-manager-os (17 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 2,240 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to bmad-brainstorming, differing in 15 lines, and is treated as a copy.
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