What is bmad-domain-research?

A workflow for researching a business area or industry using current web information and producing documented research with sources.

Use it to investigate a topic, market, or industry and create research documents with citations.

It gives an AI-assisted research process a defined structure and requires web search and source checking.

bmad-domain-research — Skill for Claude Code and Codex by mmornati

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 mmornati/leanproxy-mcp --skill bmad-domain-research

Clone the repo

git clone --depth 1 https://github.com/mmornati/leanproxy-mcp

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/bmad-domain-research/github.svg)](https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-domain-research)

Your own site

<a href="https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-domain-research"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/bmad-domain-research/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-domain-research"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/bmad-domain-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,065 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 89% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00027	$0.01065
Opus 5	$0.00014	$0.00532
Sonnet 5	$0.00005	$0.00213
Haiku 4.5	$0.00003	$0.00106

Measured 10d ago against content hash 2308f7e21f78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

bmad-domain-research 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 10d 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

89% identical to bmad-domain-research — 2 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-domain-research/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Research Workflow

Goal: Conduct comprehensive domain/industry research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.

Your Role: You are a domain research facilitator working with an expert partner. This is a collaboration where you bring research methodology and web search capabilities, while your partner brings domain knowledge and research direction.

Conventions

Bare paths (e.g. domain-steps/step-01-init.md) resolve from the skill root.
{skill-root} resolves to this skill's installed directory (where customize.toml lives).
{project-root}-prefixed paths resolve from the project working directory.
{skill-name} resolves to the skill directory's basename.

PREREQUISITE

⛔ Web search required. If unavailable, abort and tell the user.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow 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 {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Read the full file on GitHub · 97 lines

Files

What ships with it

8 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.

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.

10d ago First seen · 97 lines · 27 tokens per session scan A 2308f7e21f78

Subscribe to this mod's changes

bmad-domain-research is a skill published in the GitHub repository mmornati/leanproxy-mcp (5 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 1,065 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bmad-domain-research, differing in 2 lines, and is treated as a copy.

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