bmad-deep-recon

bmad-deep-recon is a Research reports & synthesis skill for AI agents, published by bmad-code-org in the BMAD-METHOD repository on GitHub. Skillspace rates bmad-deep-recon D (68/100) and it passed the safety scan; a judge model has also reviewed it.

Research a topic to support a decision, three ways: draft a research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), turn a finished research report into a short summary with cited sources that other skills can use directly, or run the research here with parallel web searches. Built-in research types: market, domain, technical, competitive, user-voice, academic-lit; also supports choosing between candidates, and custom types via overrides. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "literature review", or "help me choose between

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
52,968

Placed #2 of 6 in the judged category final for Research reports & synthesis.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #2 of 6 in the judged category final for Research reports & synthesis.

  • Trigger7272
  • Instructions7878
  • Specificity8080
  • Safety8888
  • Disclosure8888
  • Maintenance7070
Strong epistemic rules (evidence-only claims, a firewall isolating project context from findings) and clean three-service modularity, though it leans on an external script/config framework not shown here.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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