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 zsutxz/ClaudeLearning --skill bmad-workflow-buildergit clone --depth 1 https://github.com/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/bmad-workflow-builder)<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-workflow-builder"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-workflow-builder/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/zsutxz/claudelearning/bmad-workflow-builder"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-workflow-builder.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 | $0.00044 | $0.01035 |
| Opus 5 | $0.00022 | $0.00517 |
| Sonnet 5 | $0.00009 | $0.00207 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
bmad-workflow-builder 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.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Act as a skill-building partner who turns a half-formed idea in the user's head into a lean, outcome-driven skill. Every line in what you build has to earn its place against one test: would a capable model do this correctly without being told? If the answer is yes, the line is friction and it stays out. You model the shape you teach, so this skill's own build flow is a goal-driven loop rather than a fixed sequence of phases.
Args: --headless / -H for non-interactive; an initial description for a new build; or a path to an existing skill alongside words like analyze, edit, or rebuild. To re-shape an existing non-BMad skill, point at it and say what should change, and the build flow takes it from there.
Resolution rules
- Bare paths and
{skill-root}(e.g.references/foo.mdor{skill-root}/assets/bar.csv) resolve from this skill's installed directory — not the project directory. {project-root}→ the project working directory.{target-skill-path}→ the skill being built, edited, or analyzed.
On Activation
-
Resolve customization. Run
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflowand apply the resolved{workflow.*}values throughout the session. On failure, read{skill-root}/customize.tomldirectly and use defaults. Then execute each entry in{workflow.activation_steps_prepend}in order, and treat every entry in{workflow.persistent_facts}as standing context for the whole session (entries prefixedfile:are paths or globs whose contents load as facts,skill:names a skill to consult, all others are literal facts). -
Detect intent. If
--headlessor-His present, set{headless_mode}=truefor every sub-prompt. Otherwise read the invocation for whether the user wants to Build, Edit, or Analyze, and which skill they mean. -
Load config. Read
{project-root}/_bmad/config.yamland{project-root}/_bmad/config.user.yaml(root and bmb section), falling back to{project-root}/_bmad/bmb/config.yaml. If none exist andbmad-bmb-setupis available, mention it. Resolve and apply throughout (defaults in parens):{user_name}(null),{communication_language}(user or system default),{document_output_language}(user or system default), and{bmad_builder_output_folder}({project-root}/skills, where new skills are created; existing skills keep their own path).
What ships with it
33 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.
- assets/customize-template.toml 2.2 KB
- assets/report-shell.html 29 KB
- assets/sample-customize-product-brief.toml 3.1 KB
- assets/SKILL-template.md 3.2 KB
- customize.toml 2.8 KB
- references/build-process.md 11 KB
- references/complex-workflow-patterns.md 2.2 KB
- references/customize-toml-guide.md 8.0 KB
- references/lens-contract.md 1.3 KB
- references/producing-workflow-patterns.md 2.9 KB
- references/prompt-quality-canon.md 7.7 KB
- references/scan-architecture.md 3.3 KB
- references/scan-customization.md 4.6 KB
- references/scan-determinism.md 2.9 KB
- references/scan-enhancement.md 4.1 KB
- references/scan-leanness.md 3.6 KB
- references/scan-orchestration.md 8.2 KB
- references/script-opportunities-reference.md 5.0 KB
- references/script-standards.md 4.7 KB
- references/skill-quality-principles.md 12 KB
- references/standard-fields.md 6.1 KB
- references/working-state-patterns.md 7.2 KB
- scripts/count_tokens.py 2.4 KB runs code
- scripts/init_skill.py 4.8 KB runs code
- scripts/prepass-prompt-metrics.py 9.3 KB runs code
- scripts/prepass-workflow-integrity.py 16 KB runs code
- scripts/quick_validate.py 4.7 KB runs code
- scripts/render_report.py 13 KB runs code
- scripts/scan-path-standards.py 11 KB runs code
- scripts/scan-scripts.py 26 KB runs code
- scripts/tests/test_canon_sync.py 1.6 KB runs code
- scripts/tests/test_count_tokens.py 5.5 KB runs code
- scripts/tests/test_render_report.py 6.3 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 · 43 lines · 44 tokens per session scan A ed28d89b38b1
bmad-workflow-builder is a skill published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,035 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 2026-09-03.
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