hm-l3-deep-research
hm-l3-deep-research is a Doc lookup & research skill for AI agents, published by shynlee04 in the hivemind-plugin repository on GitHub. Skillspace rates hm-l3-deep-research C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Conduct version-matched deep research with MCP tools and citation tracking. Use when investigating libraries, verifying API signatures, or gathering multi-source evidence. Stage 2 of the hm-research-chain pipeline. Consumes codebase maps from hm-detective and cached assets from hm-tech-stack-ingest. Feeds findings into hm-synthesis for artifact compression. NOT for quick lookups or single-source checks.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 51
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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