searcharvester-deep-research
searcharvester-deep-research is a Web research & fact-checking skill for AI agents, published by vakovalskii in the searcharvester repository on GitHub. Skillspace rates searcharvester-deep-research D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Deep-research methodology with a ROLE-BASED team of parallel sub-agents. One `delegate_task` batch dispatches 2–3 researchers (each on a distinct sub-question), 1 critic (adversarial counter-search), and 1 fact-checker (numeric/date verification). The lead synthesises their findings into a cited report at ./report.md. Use for "research", "deep research", "report with sources", comparisons with citations, anything needing grounded multi-source evidence.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 252
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
- 77 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- AGPL-3.0
- 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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