deep-research
deep-research is a Market & industry research skill for AI agents, published by DishantPal in the deep-research-skill repository on GitHub. Skillspace rates deep-research D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Conduct deep, structured research on any topic — markets, products, features, competitors, problems, industries, regulations, or opportunities. Trigger whenever the user wants to research, explore, investigate, analyze, or understand something. This includes: entering new markets, evaluating products or services, exploring features, solving business problems, competitive landscapes, regulatory research, or any "I need to understand X" scenario. Also trigger for: "look into," "dig into," "explore whether," "map out the landscape," "what are the options for X," "how does Y work in practice." Trigger aggressively — if there's research intent, use this skill. Covers: market research, competitive analysis, feature exploration, regulatory deep-dives, product evaluation, problem-solving, opportunity assessment, landscape mapping.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 85
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
- 81 / 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
- 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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