wiki-query
wiki-query is a Personal knowledge & notes skill for AI agents, published by vanillaflava in the llm-wiki-skills repository on GitHub. Skillspace rates wiki-query C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Answer a question using the compiled wiki knowledge base, synthesising a response with [[wikilink]] citations. Always use this skill when the user says /wiki-query, 'what does my wiki say about', 'what do I know about', 'check my notes on', 'search my wiki for', or 'what's the current state of [topic] in my notes'. Also use when the user asks a question and signals they want to draw on their own accumulated knowledge rather than general knowledge - phrases like 'what have we worked on regarding', 'based on my notes', 'what's my thinking on', or any question where the answer should come from personal knowledge rather than the model. Optionally files valuable answers as new wiki pages. When in doubt whether personal knowledge retrieval is being requested, use this skill. Requires filesystem read access.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 55
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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