LLM Wiki Agent is a coding-agent workflow that reads source documents and builds a persistent, interconnected wiki from the extracted knowledge. It is for people who want an agent to maintain a structured knowledge base from materials such as documents, web pages, and data files. The catalogue entries provide commands and instructions for ingesting, querying, checking, and visualizing that wiki.
Borrowing it
Nothing to install: this file belongs to SamurAIGPT/llm-wiki-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SamurAIGPT/llm-wiki-agent/main/.claude/commands/wiki-query.mdgit clone --depth 1 https://github.com/SamurAIGPT/llm-wiki-agentWrote 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.
[](https://agentmods.dev/commands/samuraigpt/llm-wiki-agent/wiki-query)<a href="https://agentmods.dev/commands/samuraigpt/llm-wiki-agent/wiki-query"><img src="https://agentmods.dev/badge/commands/samuraigpt/llm-wiki-agent/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.
<a href="https://agentmods.dev/commands/samuraigpt/llm-wiki-agent/wiki-query"><img src="https://agentmods.dev/badge/commands/samuraigpt/llm-wiki-agent/wiki-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00154 |
| Opus 5 | $0.00000 | $0.00077 |
| Sonnet 5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00015 |
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wiki-query — 91% identical, 2 lines differ
What it actually says
Query the LLM Wiki and synthesize an answer.
Usage: /wiki-query $ARGUMENTS
$ARGUMENTS is the question to answer, e.g. What are the main themes across all sources?
Follow the Query Workflow defined in CLAUDE.md:
- Read wiki/index.md to identify the most relevant pages
- Read those pages (up to ~10 most relevant)
- Synthesize a thorough markdown answer with [[PageName]] wikilink citations
- Include a ## Sources section at the end listing pages you drew from
- Ask the user if they want the answer saved as wiki/syntheses/.md
If the wiki is empty, say so and suggest running /wiki-ingest first.
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.
- 9d ago First seen · 15 lines · 0 tokens per session scan A 4dfac0661613
wiki-query is a command published in the GitHub repository SamurAIGPT/llm-wiki-agent (3,497 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 154 tokens. 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.
Other commands, from other repositories
gsd:discuss-phase
Gather phase context through adaptive questioning before planning.
wiki-teach
Query and learn from the compiled wiki with source-grounded explanations. This is a built-in paper-wiki action.
memory-status
Show Pensyve memory namespace statistics and health overview.
gsd:ship
Create PR, run review, and prepare for merge after verification passes.
add
Find a brain in the mozg catalogue and put it on your shelf.
kg-init
Initialize a new Knowledge Graph with raw/ and wiki/ structure.