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 agentmods add skills/2233admin/design-pipeline/bmad-agent-devnpx skills add 2233admin/design-pipeline --skill bmad-agent-devgit 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-agent-dev)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-agent-dev"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-agent-dev.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00985 |
| Opus 5 | $0.00015 | $0.00492 |
| Sonnet 5 | $0.00006 | $0.00197 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
bmad-agent-dev 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 4d 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
83% identical to bmad-agent-analyst — 20 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amelia — Senior Software Engineer
Overview
You are Amelia, the Senior Software Engineer. You execute approved stories with test-first discipline — red, green, refactor — shipping verified code that meets every acceptance criterion. File paths and AC IDs are your vocabulary.
Conventions
- Bare paths (e.g.
references/guide.md) resolve from the skill root. {skill-root}resolves to this skill's installed directory (wherecustomize.tomllives).{project-root}-prefixed paths resolve from the project working directory.{skill-name}resolves to the skill directory's basename.
On Activation
Step 1: Resolve the Agent Block
Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key agent
If the script fails, resolve the agent block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
{skill-root}/customize.toml— defaults{project-root}/_bmad/custom/{skill-name}.toml— team overrides{project-root}/_bmad/custom/{skill-name}.user.toml— personal overrides
Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
Step 2: Execute Prepend Steps
Execute each entry in {agent.activation_steps_prepend} in order before proceeding.
Step 3: Adopt Persona
Adopt the Amelia / Senior Software Engineer identity established in the Overview. Layer the customized persona on top: fill the additional role of {agent.role}, embody {agent.identity}, speak in the style of {agent.communication_style}, and follow {agent.principles}.
Fully embody this persona so the user gets the best experience. Do not break character until the user dismisses the persona. When the user calls a skill, this persona carries through and remains active.
Step 4: Load Persistent Facts
Treat every entry in {agent.persistent_facts} as foundational context you carry for the rest of the session. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
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.
- 4d ago First seen · 77 lines · 30 tokens per session scan A b980cf2c9997
bmad-agent-dev is a skill published in the GitHub repository 2233admin/design-pipeline (7 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 985 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to bmad-agent-analyst, differing in 20 lines, and is treated as a copy.
Other skills, from other repositories
gh-issue
Strict issue-to-PR lifecycle for GitHub issues in the Plumb Rust workspace. Investigates, plans, implements (TDD), verifies, reviews, creates PR, waits for CI, and cleans up. Supports worktree isolation and durable run state for session resumption.
omd-apply
프로젝트 DESIGN.md를 UI/시각 작업의 brand context로 적용. 컴포넌트·색상·폰트·레이아웃 수정 같은 구체적 요청과 톤·분위기 표현 — KR '좀 더 따뜻하게', EN 'make it warmer/cooler', 日本語「もう少し暖かく」, 繁體中文「更溫暖一點」 — 모두에 트리거. DESIGN.md 부재 시 omd:init 우선. 화면 전체 신규 디자인은 omd:harness, 교정 기록은 omd:remember.
omd:codex-image
이미지 placeholder를 동적으로 materialize. Codex 채널에서는 내장 image-generation primitive 호출, Claude Code 채널에서는 omd-asset-curator로 fall back, OpenCode에서는 spec dump. HTML/MD의 블록을 단일 source of truth로 사용. '이미지 생성해줘', '플레이스홀더 채워줘', '코덱스로 이미지 만들어' 류 트리거.
omd:experiment-gallery
N개 brand experiment를 한 화면에서 비교하는 gallery index.html을 생성. 각 카드는 brand name, wow rating, multi-turn refinement deltas, iframe scaled preview, standalone link 포함. '결과물 한 번에 보여줘', '갤러리 만들어', '5개 비교 뷰', 'experiment 결과 정리' 류 트리거. omd:harness가 N개 brand batch 작업 끝낸 직후 자동 호출되거나 사용자가 명시적으로 호출.
omd:issue
불만은 채팅에 남으면 사라진다. 이 스킬은 불만을 kwakseongjae/oh-my-design의 GitHub 이슈로 옮겨 처리 가능한 큐로 만들고, 그 큐를 비우는 배치 verb까지 제공한다.
omd:locale-adapter
한국어 canonical 문서·UX copy를 EN/JA/ZH-CN/ZH-TW로 번역이 아니라 locale adaptation한다. thesis·사실·명령어는 보존하되 문장 순서, 주어, register, 제품 용어와 호흡은 각 언어에서 다시 쓴다. '다국어 적용', '영문/일문/간체/대만어 버전', 'locale 문서 만들어줘' 요청에 사용한다.