web-retrieval
web-retrieval is an Information, media & social sources skill for AI agents, published by aryaniyaps in the ultimate-pi repository on GitHub. Skillspace rates web-retrieval F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
Agentic Web Retrieval Stack (WRS) — tiered web_search/web_fetch/web_contents (harness-web.py + Scrapling). Default tier=deep with web-query-expander angles. Use for search, scrape, landscape, prior art, comparisons, planning pre-research, cited answers, similar URLs, websets scoring. Triggers on non-API web research, scrape URL, web_search, web_fetch, .web/ artifacts. Library API docs → context7 only. Install: /harness-setup or harness-cli-verify.
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Critical-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- pipe remote script to shell
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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