deep-research
deep-research is an Agent task delegation & fan-out skill for AI agents, published by ZaxbyHub in the opencode-swarm repository on GitHub. Skillspace rates deep-research D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Full execution protocol for MODE: DEEP_RESEARCH — orchestrator-worker deep research over external sources: decompose, iterative web_search/web_fetch retrieval, parallel sme synthesis, dual-reviewer claim verification, critic challenge of high-stakes claims, and a cited report. Loaded on demand by the architect when the deep-research command emits a [MODE: DEEP_RESEARCH ...] signal.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 401
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
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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