A question-and-answer tool for a project wiki, a collection of linked knowledge pages. It searches existing pages, gives answers with citations, and can research missing information when needed.

Use it to ask questions at quick, standard, or deep depth, search for existing notes, retrieve cited wiki context, and research topics that the wiki does not yet cover.

It reduces the time spent searching through notes and helps distinguish answers already documented from information gathered during a new search.

wiki-read — Skill for Claude Code by Oshayr/LLM-Wiki

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Oshayr/LLM-Wiki --skill read

Clone the repo

git clone --depth 1 https://github.com/Oshayr/LLM-Wiki

Made for: Claude Code.

Or install llm-wiki, the plugin that ships this one along with the rest of its 5 skills, 10 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/oshayr/llm-wiki/read/github.svg)](https://agentmods.dev/skills/oshayr/llm-wiki/read)

Your own site

<a href="https://agentmods.dev/skills/oshayr/llm-wiki/read"><img src="https://agentmods.dev/badge/skills/oshayr/llm-wiki/read/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/oshayr/llm-wiki/read"><img src="https://agentmods.dev/badge/skills/oshayr/llm-wiki/read.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 746 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.00746
Opus 5.5	$0.00041	$0.00298
Sonnet 5.5	$0.00020	$0.00149
Haiku 4.5	$0.00010	$0.00075

Measured 2mo ago against content hash 0aeaed29e18d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-read scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/read/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wiki Read

Ask the wiki a question and get a cited answer. If the wiki doesn't have the answer, automatically researches using whatever tools are available, ingests the results, and answers from the new pages.

Resolve .wiki/ from plugin install scope. If not found, say "No wiki found. Use /wiki-write to create one."

Arguments

/wiki-read <question> — standard: search wiki first, research if not found, answer with citations
/wiki-read quick <question> — index scan only, no research fallback (fastest)
/wiki-read deep <question> — full wiki search + raw sources + automatic multi-channel research if needed (most thorough)

Process

Launch the wiki-reader agent with the question and depth level.

Standard depth (default)

Read .wiki/index.md, identify 2-4 relevant pages
Use bin/search-fulltext.py for ranked results
Read the relevant pages, synthesize a cited answer with [[slug]] references
If NOT found or insufficient: automatically research using whatever tools are available:
- Discover available tools at runtime (WebSearch, WebFetch, wiki_wikipedia_search for factual/encyclopedic topics, any MCP tools like Perplexity, Context7, etc.)
- Search using available tools, fetch and extract content
- Ingest results via wiki-writer agent (mode: ingest)
- Answer from the newly created pages with [[slug]] citations
- Note: "Researched fresh and saved to wiki."
Offer to save analysis as a wiki page if the answer is substantial

Quick depth

Read .wiki/index.md only
Scan for matching slugs/titles by text match
Return: list of relevant pages with one-line descriptions
No page content read, no research fallback — fastest possible response
If not found, suggest running standard /wiki-read

Deep depth

Everything in standard, plus:

Search .wiki/raw/ for source materials matching the query
Cross-reference raw sources with compiled pages
Use all available tools iteratively for multi-channel research if needed
Most thorough — uses the most context

Read the full file on GitHub · 60 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 60 lines · 102 tokens per session scan A 0aeaed29e18d

Subscribe to this mod's changes

wiki-read is a skill published in the GitHub repository Oshayr/LLM-Wiki (50 stars, last pushed 6mo ago), licensed MIT. It adds 102 tokens to every session and 746 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Research Writing and docs ai-tools autonomous-agent claude-code-plugin fastapi knowledge-base

wiki-read next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wiki-readOshayr/LLM-Wiki	Skill	50	6mo ago	MIT	A	102	Claude Code
llm-wikipraneybehl/llm-wiki-plugin	Skill	123	8d ago	MIT	A	143	Claude Code
design-mcp-servercyanheads/obsidian-mcp-server	Skill	702	6d ago	Apache-2.0	A	62	Claude Code
api-canvascyanheads/obsidian-mcp-server	Skill	702	6d ago	Apache-2.0	A	85	Claude Code
api-telemetrycyanheads/obsidian-mcp-server	Skill	702	6d ago	Apache-2.0	A	85	Claude Code
maintenancecyanheads/obsidian-mcp-server	Skill	702	6d ago	Apache-2.0	A	75	Claude Code
report-issue-localcyanheads/obsidian-mcp-server	Skill	702	6d ago	Apache-2.0	A	44	Claude Code