wiki-ingest

wiki-ingest is a Personal knowledge & notes skill for AI agents, published by vanillaflava in the llm-wiki-skills repository on GitHub. Skillspace rates wiki-ingest F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Process source files into synthesised wiki pages. Always use this skill when the user says /wiki-ingest, 'import these files', 'process my clippings', 'ingest this article', 'I have new articles to add', 'turn this PDF into a wiki page', 'what's in my raw/ folder', or 'what have I ingested'. Also use when the user mentions dropping a file somewhere to process, wants to turn any document, article, or PDF into a wiki page, or asks about files in raw/ or ingested/ - even if they don't say 'ingest'. Treats raw/ as a flat queue; scans all files, synthesises knowledge into wiki pages, and moves each source to ingested/ as an atomic commit. When in doubt whether source material processing is being requested, use this skill. Requires filesystem read/write/move access.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
55

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.

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • exfiltration language

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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