wiki-query

wiki-query is a skill for Claude Code from shrimbly/project-wiki. It costs 85 tokens per session (520 once invoked), scanned A, original, MIT.

A question-answering tool that reads a project wiki and gives an answer with links to the pages supporting it. If the wiki lacks enough information, it can reason from captured source material and state the uncertainty.

In plain words
What is it for?
Use it to investigate how parts of a project relate, explain what happens in a process, compare decisions, and record substantial answers back in the wiki.
Why use it?
It removes the need to manually search through many linked pages for an answer. It also helps prevent made-up answers by clearly saying when the available material is incomplete.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to investigate how parts of a project relate, explain what happens in a process, compare decisions, and record substantial answers back in the wiki.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shrimbly/project-wiki/wiki-query
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 shrimbly/project-wiki --skill wiki-query
Clone the repo
git clone --depth 1 https://github.com/shrimbly/project-wiki

Made for: Claude Code.

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.

agentmods badge for wiki-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/shrimbly/project-wiki/wiki-query.svg)](https://agentmods.dev/skills/shrimbly/project-wiki/wiki-query)
Your own site
<a href="https://agentmods.dev/skills/shrimbly/project-wiki/wiki-query"><img src="https://agentmods.dev/badge/skills/shrimbly/project-wiki/wiki-query.svg" alt="Measured on agentmods" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 520 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.00520
Opus 5 $0.00043 $0.00260
Sonnet 5 $0.00017 $0.00104
Haiku 4.5 $0.00009 $0.00052

Measured 7d ago against content hash b66435355778, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

.claude/skills/wiki-query/SKILL.md · 50 lines

What it actually says

wiki-query

Answer from the wiki — and capture the answer if it's worth keeping.

1. Find the relevant pages

  • Read wiki/index.md first to locate the pages the question touches, then drill into them. Follow cross-links.
  • Check wiki/open-questions.md — the question may already be tracked as open.

2. Answer

  • If the wiki holds the answer, give it and cite the page(s) (by name and viewer URL, e.g. /wiki-concepts-foo/).
  • If the wiki is silent or thin, fall back to the sources/ captures and synthesize — but say that you're reasoning from sources, and flag uncertainty.
  • If the answer genuinely isn't in the material, say so plainly rather than inventing it. Offer to /wiki-research it.

3. File non-trivial answers back

If the answer is more than a lookup — a comparison, a connection across pages, an analysis, a resolved ambiguity — it's wiki-worthy:

  • Add a new wiki/concepts/<name>.md (or the right type), or update an existing page, with the synthesis. Cite the pages/sources it draws on.
  • If the question exposed a real gap or contradiction, add it to wiki/open-questions.md.
  • If it resolved an existing open question, fold it in and mark that question Resolved with a pointer.
  • Update wiki/index.md if you added a page.

4. Log + commit (only if the wiki changed)

  • If you wrote anything back, append a ## [YYYY-MM-DD] query | <topic> entry to log.md and commit (push if a remote is configured).
  • A pure lookup that changed nothing needs no log entry.

Guardrail

Don't let "file it back" bloat the wiki. A one-off factual lookup stays in the conversation; only durable synthesis earns a page.

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.

  1. 7d ago First seen · 50 lines · 85 tokens per session scan A b66435355778

Subscribe to this mod's changes

wiki-query is a skill published in the GitHub repository shrimbly/project-wiki (5 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 520 once invoked, about $0.0004 per session on Opus 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 2026-08-31.

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