BMAD

BMAD is a skill for Claude Code, Codex from fr3kstyle/fr3k. It costs 47 tokens per session (1,208 once invoked), scanned A, original, no licence file.

A structured method for building software with AI agents through planned, specification-led work. It uses defined workflows and different specialist roles to guide development from requirements to implementation.

In plain words
What is it for?
Use it to plan features, write specifications, organise development tasks, and coordinate specialised AI roles in an agile workflow.
Why use it?
It gives an AI-assisted project a repeatable process instead of leaving each task to ad hoc conversations. This can make requirements, decisions, and development steps easier to follow.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to plan features, write specifications, organise development tasks, and coordinate specialised AI roles in an agile workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fr3kstyle/fr3k/bmad
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.

Any agent
npx skills add fr3kstyle/fr3k --skill bmad
Clone the repo
git clone --depth 1 https://github.com/fr3kstyle/fr3k

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/fr3kstyle/fr3k/bmad.svg)](https://agentmods.dev/skills/fr3kstyle/fr3k/bmad)
Your own site
<a href="https://agentmods.dev/skills/fr3kstyle/fr3k/bmad"><img src="https://agentmods.dev/badge/skills/fr3kstyle/fr3k/bmad.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found 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 $0.00047 $0.01208
Opus 5 $0.00023 $0.00604
Sonnet 5 $0.00009 $0.00242
Haiku 4.5 $0.00005 $0.00121

Measured 7d ago against content hash d167c0027cd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

BMAD 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 7d 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.

claude-skills/BMAD/SKILL.md · 155 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 7d ago First seen · 155 lines · 47 tokens per session scan A d167c0027cd8

Subscribe to this mod's changes

BMAD is a skill published in the GitHub repository fr3kstyle/fr3k (2 stars, last pushed 6mo ago), with no licence file. It adds 47 tokens to every session and 1,208 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 2026-08-31.

Related

Other skills, from other repositories

ensembl-database

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

synthetic-sciences/openscience · 45 tokens

spec-kitty-charter-doctrine

Run charter interview, generation, context, and sync workflows for project governance in Spec Kitty 3.x. Access doctrine artifacts programmatically via DoctrineService. Resolve agent profiles. Load action-scoped governance context iteratively, not all at once. Triggers: "interview for charter", "generate charter"…

Priivacy-ai/spec-kitty · 135 tokens

loop

Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…

ZaxbyHub/opencode-swarm · 72 tokens

mongodb-query-optimizer

Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query…

fcakyon/claude-codex-settings · 98 tokens

restore-internals-seams-in-finally-blocks-after-each-test

When delegating a task affected by this skill, include.

ZaxbyHub/opencode-swarm · 26 tokens

google-meet

Google Meet via gws: create spaces, fetch join links, list recordings.

Open-Curiosity/gini-agent · 20 tokens