A question-answering tool for a compiled wiki, with citations and optional links to the original source files. A wiki is a collection of linked pages used to store and retrieve knowledge.

Use it to answer questions from a project wiki, check recent context, cite supporting pages, and offer to save substantial answers as new wiki pages.

It helps locate relevant internal information without manually reading every page. It can use semantic search, which finds meaning-related text rather than only exact word matches.

wiki-query — Skill for Claude Code by ihudak/ihudak-claude-plugins

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 ihudak/ihudak-claude-plugins --skill wiki-query

Clone the repo

git clone --depth 1 https://github.com/ihudak/ihudak-claude-plugins

Made for: Claude Code.

Or install obsidian-llm-wiki, the plugin that ships this one along with the rest of its 11 skills, 10 commands.

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/ihudak/ihudak-claude-plugins/wiki-query/github.svg)](https://agentmods.dev/skills/ihudak/ihudak-claude-plugins/wiki-query)

Your own site

<a href="https://agentmods.dev/skills/ihudak/ihudak-claude-plugins/wiki-query"><img src="https://agentmods.dev/badge/skills/ihudak/ihudak-claude-plugins/wiki-query/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/ihudak/ihudak-claude-plugins/wiki-query"><img src="https://agentmods.dev/badge/skills/ihudak/ihudak-claude-plugins/wiki-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 912 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	$0.00087	$0.00912
Opus 5.5	$0.00035	$0.00365
Sonnet 5.5	$0.00017	$0.00182
Haiku 4.5	$0.00009	$0.00091

Measured 1mo ago against content hash d3efb0568437, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-query 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 1mo 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.

plugins/obsidian-llm-wiki/skills/wiki-query/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiki-query

Read skills/wiki-schema/SKILL.md fully before proceeding.

Invoke with: /wiki-query <question>

Step 1 — Resolve VAULT_PATH

Vault path: ~/obsidian_vault by default; set VAULT_PATH to override. WSL users with a Windows-side vault must set VAULT_PATH explicitly (e.g. /mnt/c/Users/<name>/obsidian_vault).

Step 2 — Load recent context

Read wiki/hot.md if it exists. If the file is absent or empty, skip silently. If it contains a directly relevant answer or strong context clues, use that to guide which pages to read.

Step 3 — Choose search path

Path A — qmd MCP (Claude Code, when qmd collection is registered)

Check if qmd has a wiki collection:

mcp__plugin_qmd_qmd__status

If the wiki collection is listed in the status output, use Path A. Otherwise use Path B.

Path A steps:

Run a hybrid search against the wiki collection:

mcp__plugin_qmd_qmd__query
searches: [{type: "lex", query: "<keywords>"}, {type: "vec", query: "<question>"}]
intent: "<question>"
minScore: 0.4

Also check if a meetings or sources collection is registered. If the question is about specific events, decisions, or people, run an additional query against those collections and merge the results.

Retrieve the top-scoring pages:

mcp__plugin_qmd_qmd__get
path: "<result filepath>"

Read the returned pages fully. Proceed to Step 4.

Path B — Index-guided reading (Copilot, or qmd not configured)

Read wiki/_index.md fully.
Scan the index summary column for entries relevant to the question.
Read up to 5 most relevant pages. Prioritise by: direct title match, then tag match, then summary match.
If 5 pages are not enough to answer confidently, read up to 3 more. Do not read the entire wiki.

Step 4 — Synthesise the answer

Write the answer in declarative present tense. Cite every claim:

For wiki pages: (→ [[concepts/MCP Server]])
For original source files: (→ [[Meetings/ACME/2026-04-10 MCP Planning.md]])
For multiple sources: list all

Read the full file on GitHub · 122 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.

1mo ago Changed d3efb0568437
2mo ago First seen · 122 lines · 87 tokens per session scan A 3df40f288bb8

Subscribe to this mod's changes

wiki-query is a skill published in the GitHub repository ihudak/ihudak-claude-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 912 once invoked, about $0.0003 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 2026-09-05.

Claude Code Research ai-agents ai-code-review claude-code-plugins developer-productivity documentation-automation

wiki-query next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wiki-queryihudak/ihudak-claude-plugins	Skill	2	1mo ago	MIT	A	87	Claude Code
competitive-battlecardphuryn/pm-skills	Skill	28k	8d ago	MIT	A	52	Claude Code
bun-test-mockingsecondsky/claude-skills	Skill	245	6d ago	MIT	A	25	Claude Code
handoffAvijit07x/claude-db	Skill	233	15d ago	Apache-2.0	A	87	Claude Code, Codex
stress-test-methodologyoborchers/fractional-cto	Skill	36	12d ago	MIT	A	92	Claude Code
run-planjuliusz-cwiakalski/agentic-delivery-os	Skill	43	yesterday	MIT	A	11	Claude Code
creative-directioneugenelim/agent-ready-repo	Skill	28	yesterday	Apache-2.0	A	210	Claude Code

wiki-query

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

wiki-query

Step 1 — Resolve VAULT_PATH

Step 2 — Load recent context

Step 3 — Choose search path

Path A — qmd MCP (Claude Code, when qmd collection is registered)

Path B — Index-guided reading (Copilot, or qmd not configured)

Step 4 — Synthesise the answer

What this file has done since we first saw it

wiki-query compared with skills from other repositories