Use when an LLM Wiki operation issue asks a question. Answer from wiki pages and raw sources with citations, name gaps plainly, and offer to file durable synthesis when the answer should compound.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Wiki Query
Answer a question from what the wiki actually contains, with citations.
## Inputs
- An operation issue with `operationType: "query"` and the question in the body.
- The operation issue's target `wikiId`, `spaceSlug`, and space root.
## Workflow
1. **Open the target space's `wiki/index.md` first** — it is the navigation aid. Identify candidate pages.
2. **Read the candidate pages** end to end with `wiki_read_page`, always passing the operation issue's `wikiId` and `spaceSlug`. Follow `[[wiki-links]]` to neighbouring pages when the question spans entities or concepts.
3. **Inspect raw sources** when a wiki page's claim feels thin. The wiki points to `raw/` precisely so you can verify before answering. Use `wiki_read_source`.
4. **Answer the question** in the operation issue thread. Structure:
- Direct answer first, in 1–4 sentences.
- Then the supporting facts as bullet points, each with an inline citation: `(see [[wiki/concepts/managed-resources]])` or `(see raw/<filename>)`.
- If you needed to read a raw source the wiki did not summarise, name that as a gap.
…
The line at the top of this page pins the label git:20260710.953b315, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_4adzmnnqknlhfzgv
GET https://markdownregistry.com/api/v1/resolve?ref=paperclipai/paperclip/wiki-query
GET https://markdownregistry.com/api/v1/blob/73332d0b2d863efb99b1304f8fdc50d661ab7c664f40aaec07daaab12e187197
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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