deep-research
deep-research is a Web research & fact-checking skill for AI agents, published by AnkitClassicVision in the Claude-Code-Deep-Research repository on GitHub. Skillspace rates deep-research D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Gate-driven deep research pipeline (V4). Use this skill whenever the user asks for deep research, a research report, due diligence, a literature review, a competitive or market landscape, a technology evaluation, "compare X vs Y with sources", "what does the evidence say about", or any question where the answer will drive a decision and needs citations. Trigger even if the user does not say "research": multi-source questions with money, strategy, or safety on the line belong here. Do NOT trigger for single-fact lookups or questions answerable from one source.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 145
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
- 84 / 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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