fetch-content

fetch-content is an Information, media & social sources skill for AI agents, published by SerhiiKorniienko in the bullshit-detector repository on GitHub. Skillspace rates fetch-content D (68/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Fetch and normalize any content source into clean text with metadata — YouTube video transcripts, TikTok captions, web articles, PDFs, tweets/X posts, local files. Use when the user shares a YouTube link, TikTok link, article URL, tweet/X link, or PDF (URL or file) and you need its actual text content to summarize, analyze, fact-check, or answer questions about it.

Grade
D
Quality
68 / 100
Safety
Needs review
GitHub stars
140

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.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • suspicious outbound endpoint

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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