wiki-ingest
wiki-ingest is an Internal wikis & documentation skill for AI agents, published by paperclipai in the paperclip repository on GitHub. Skillspace rates wiki-ingest D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 80,581
Placed #3 of 6 in the judged category final for Internal wikis & documentation.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Internal wikis & documentation.
- Trigger
85 85 - Instructions
92 92 - Specificity
90 90 - Safety
90 90 - Disclosure
75 75 - Maintenance
80 80
Nine concrete, ordered steps with exact file and log templates, and a 'flag, don't overwrite' policy for contradictions.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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