parallel-web-extract

parallel-web-extract is an Information, media & social sources skill for AI agents, published by parallel-web in the parallel-agent-skills repository on GitHub. Skillspace rates parallel-web-extract D (64/100) and it passed the safety scan; the rating is based on static analysis only.

URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
59

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, so go by its current files.

View source on GitHubparallel-web/parallel-agent-skills

Our review

Architecture
99 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • over-broad allowed-tools ('*')
  • mentions secrets in text

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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