bmad-help

bmad-help is a skill for Claude Code, Codex from marlonvidal/tech-manager-os. It costs 51 tokens per session (961 once invoked), scanned A, a copy of bmad-help, MIT.

A guide for the BMad workflow, a structured way to plan and build software. It identifies your current step, answers BMad questions, and suggests what to do next.

In plain words
What is it for?
Use it to find your place in a BMad project, choose the next skill, learn how to invoke it, or get answers from BMad documentation.
Why use it?
It removes the guesswork of choosing the right workflow step or skill. It also keeps answers focused on your current progress instead of listing everything available.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Install

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.

agentmods
npx agentmods add skills/marlonvidal/tech-manager-os/bmad-help
Any agent
npx skills add marlonvidal/tech-manager-os --skill bmad-help
Clone the repo
git clone --depth 1 https://github.com/marlonvidal/tech-manager-os

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bmad-help

README.md
[![agentmods](https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-help.svg)](https://agentmods.dev/skills/marlonvidal/tech-manager-os/bmad-help)
Your own site
<a href="https://agentmods.dev/skills/marlonvidal/tech-manager-os/bmad-help"><img src="https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-help.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00961
Opus 5 $0.00026 $0.00481
Sonnet 5 $0.00010 $0.00192
Haiku 4.5 $0.00005 $0.00096

Measured 6d ago against content hash a766c6bd76bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

bmad-help 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 6d 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.

Origin

This is a copy

95% identical to bmad-help — 12 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.

.agents/skills/bmad-help/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BMad Help

Purpose

Help the user understand where they are in their BMad workflow and what to do next, and also answer broader questions when asked that could be augmented with remote sources such as module documentation sources.

Desired Outcomes

When this skill completes, the user should:

  1. Know where they are — which module and phase they're in, what's already been completed
  2. Know what to do next — the next recommended and/or required step, with clear reasoning
  3. Know how to invoke it — skill name, menu code, action context, and any args that shortcut the conversation
  4. Get offered a quick start — when a single skill is the clear next step, offer to run it for the user right now rather than just listing it
  5. Feel oriented, not overwhelmed — surface only what's relevant to their current position; don't dump the entire catalog
  6. Get answers to general questions — when the question doesn't map to a specific skill, use the module's registered documentation to give a grounded answer

Data Sources

  • Catalog: {project-root}/_bmad/_config/bmad-help.csv — assembled manifest of all installed module skills
  • Config: config.yaml and user-config.yaml files in {project-root}/_bmad/ and its subfolders — resolve output-location variables, provide communication_language and project_knowledge
  • Artifacts: Files matching outputs patterns at resolved output-location paths reveal which steps are possibly completed; their content may also provide grounding context for recommendations
  • Project knowledge: If project_knowledge resolves to an existing path, read it for grounding context. Never fabricate project-specific details.
  • Module docs: Rows with _meta in the skill column carry a URL or path in output-location pointing to the module's documentation (e.g., llms.txt). Fetch and use these to answer general questions about that module.

CSV Interpretation

The catalog uses this format:

module,skill,display-name,menu-code,description,action,args,phase,preceded-by,followed-by,required,output-location,outputs

Read the full file on GitHub · 76 lines

Changes

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.

  1. 6d ago First seen · 76 lines · 51 tokens per session scan A a766c6bd76bc

Subscribe to this mod's changes

bmad-help is a skill published in the GitHub repository marlonvidal/tech-manager-os (15 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 961 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to bmad-help, differing in 12 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens