wiki-ingest
wiki-ingest is a Codebase mapping & onboarding skill for AI agents, published by onur-gokyildiz-bhi in the codescope repository on GitHub. Skillspace rates wiki-ingest D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Ingest any source (file, URL, image) into the codescope knowledge graph. Extracts entities, concepts, claims, and cross-references them with existing code entities. Triggers on: "ingest this", "add to knowledge base", "read and file", "process this source", "ingest [url]", "wiki ingest".
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 21
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, so go by its current files.
Our review
- Architecture
- 84 / 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
- mentions secrets in text
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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