client-research
client-research is a Web scraping & data collection skill for AI agents, published by deanwhitex in the AIW2.0STACK repository on GitHub. Skillspace rates client-research D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use during Stage 2 of the website factory pipeline to autonomously harvest Google Business Profile, all reviews, owner profile, services/offerings, service areas, competitor landscape, brand identity signals, business model, niche-specific certifications, special offers, financing/pricing, and trust signals into research-report.md plus research.json. Read in full before invoking the research-agent. Output is the spine that every downstream stage reads. Uses tools/apify-scrape.py for reliable scraping (Google Places + Facebook + website crawl + Instagram + niche-specific directories).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 46
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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