web-fetcher
web-fetcher is a Web scraping & data collection skill for AI agents, published by kenmick in the skills repository on GitHub. Skillspace rates web-fetcher C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Fetch web page content as clean markdown/text from a URL. Use when the user provides a URL and wants to read, extract, or analyze its content. Triggers on requests like "fetch this page", "read this URL", "grab the content from", "summarize this article", or any task requiring web page text extraction.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 100 / 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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