Borrowing it
Nothing to install: this file belongs to 2233admin/design-pipeline. 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/2233admin/design-pipeline/main/.agents/skills/bmad-build/SKILL.mdgit clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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/2233admin/design-pipeline/bmad-build)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-build"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-build/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/2233admin/design-pipeline/bmad-build"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-build.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 | $0.00061 | $0.00192 |
| Opus 5 | $0.00030 | $0.00096 |
| Sonnet 5 | $0.00012 | $0.00038 |
| Haiku 4.5 | $0.00006 | $0.00019 |
Grade A, and why
bmad-build 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 8d 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
1 near-identical copy found in the catalogue:
- bmad-build — 100% identical, 0 lines differ
What it actually says
Run the following command exactly once without changing the current working directory. Replace {project-root} with the absolute path to the project root and {skill-root} with the absolute path to this skill's directory:
uv run --no-cache "{project-root}/_bmad/scripts/render_skill.py" --project-root "{project-root}" --skill "{skill-root}"
- On success, read and follow the one absolute
workflow.mdinstruction printed to stdout. - On failure (including
uvbeing unavailable), report the command output and HALT. Do not run any workflow source directly.
What ships with it
14 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.
- compile-epic-context.md 2.8 KB
- customize.toml 6.2 KB
- references/deletion-check.md 1009 B
- review-prompts/edge-case-hunter.md 5.6 KB
- review-prompts/verification-gap.md 9.1 KB
- spec-template.md 3.4 KB
- step-01-clarify-and-route.md 11 KB
- step-02-plan.md 3.8 KB
- step-03-implement.md 3.3 KB
- step-04-review.md 5.5 KB
- step-05-present.md 3.3 KB
- step-oneshot.md 3.6 KB
- sync-sprint-status.md 1.4 KB
- workflow.md 3.9 KB
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.
- 8d ago First seen · 14 lines · 61 tokens per session scan A bce4778d8d27
bmad-build is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 5d ago), licensed MIT. It adds 61 tokens to every session and 192 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
omd-apply
A skill that applies a project's DESIGN.md file as visual and brand guidance for interface work. It covers components, colors, fonts, layout, copy, motion, and visual assets.
ss-review
Review UI code for design system compliance, accessibility, and best practices.
ss-pattern
Generate a composed UI pattern from the active StyleSeed grammar and brand recipe using existing primitives.
ss-restyle
Apply one optional StyleSeed aesthetic profile without changing the selected output grammar, product job, or core design judgment.
design-system-tokens
Design token management with the W3C Design Token spec, three-tier hierarchy (global/alias/component), OKLCH color, Style Dictionary transforms, and dark mode theming. Use when creating token files, implementing theme systems, or building design-to-code pipelines.
governance-encoder
Convert governance policies into machine-executable JSON constraint files that AI agents and CI pipelines validate against automatically. This produces rule engine files in .ai/governance/, NOT narrative decision records or documentation. Trigger when someone says: encode governance rules, governance as code, automate…