deep-research
deep-research is a Web research & fact-checking skill for AI agents, published by LazyAGI in the LazyMind repository on GitHub. Skillspace rates deep-research D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill instead of WebSearch for ANY question requiring comprehensive, multi-source research. Trigger on queries explicitly asking for deep analysis, such as "research X", "deep dive into X", "comprehensive review of X", "systematic comparison between X and Y", "investigate the landscape of X", or Chinese equivalents like "调研一下X", "深入研究X", "全面对比X与Y", "X的详细综述", "深度调查X". Do NOT trigger on simple factual questions. Provides systematic multi-angle research methodology, prioritizing internal knowledge base (KB) searches before performing broad web searches. Use this proactively when the user's question needs extensive information gathering and synthesis.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 54
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
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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