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.
npx skills add hainamchung/agent-assistant --skill llm-wikigit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/skills/hainamchung/agent-assistant/llm-wiki)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/llm-wiki"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/llm-wiki/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/skills/hainamchung/agent-assistant/llm-wiki"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/llm-wiki.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 | $0.00042 | $0.01459 |
| Opus 5 | $0.00021 | $0.00730 |
| Sonnet 5 | $0.00008 | $0.00292 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
llm-wiki 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
llm-wiki — Knowledge Base Manager
Activate with
/wikiprefix. Git-based markdown wiki for software teams.
Commands
/wiki setup [--name "Name"] [--language en]
Automated first-time setup. Run this before any other /wiki command.
- Check Python 3.11+ installed. If not → tell user how to install
- Install dependencies:
pip install markitdown[all] pyyaml - If
--namenot provided, auto-detect from: folder name, package.json name, or git remote - Run:
python scripts/init-wiki.py --name "<name>" --language "<language>" --target . - Verify:
.wiki/created with AGENTS.md, sources/, wiki/ - Print quick guide:
- "Ingest:
/wiki ingest <file> --category <cat>" - "Compile:
/wiki compile" - "Query:
/wiki query <question>"
- "Ingest:
- Ask user: "Do you have a document to ingest now?"
/wiki init [--name "Name"] [--language en] [--with-qmd] [--no-obsidian]
Initialize wiki in current project.
- Run:
python scripts/init-wiki.py --name "Project Name" --language en --target . - Verify: check
.wiki/created with AGENTS.md, sources/, wiki/ - Obsidian vault config generated by default (use
--no-obsidianto skip) - Ask user to confirm, then commit:
git add .wiki/ && git commit -m "docs: initialize llm-wiki" - If qmd not installed, recommend:
npm install -g @tobilu/qmd(strongly recommended for 50+ pages)
/wiki ingest <file_or_url> [--category <cat>]
Parse document into wiki source (no AI needed).
- Run:
python scripts/ingest.py <file> --category <category> --output .wiki/sources/<category>/ - Categories: product, design, architecture, development, operations, meetings, references, data
- Report: "Ingested → .wiki/sources//.md"
/wiki batch-ingest <folder> [--category <cat>]
Ingest all files in a folder.
- Run:
python scripts/ingest.py <folder> --category <category> - Script pauses every 5 files for progress. Report total when done.
/wiki compile
AI reads uncompiled sources → creates wiki pages (3 stages).
- Diff: Scan
.wiki/sources/vs.wiki/wiki/summaries/— list new/changed sources - Extract: For each new source: extract entities, concepts, relationships, citations
- Generate: Create/update wiki pages with wikilinks, conflict detection, cascade updates
- Run:
python scripts/update-index.py - Append to
.wiki/log.md - Ask user to confirm, then commit:
git commit -am "docs: compile N sources, cascade-updated M pages"
What ships with it
24 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitignore 224 B
- docs/codebase-summary.md 5.7 KB
- docs/for-developers.md 3.1 KB
- docs/for-pm-po.md 2.3 KB
- docs/getting-started.md 2.6 KB
- docs/tool-specific-setup.md 1.8 KB
- docs/use-cases-vi.md 6.2 KB
- docs/use-cases.md 5.7 KB
- install.sh 703 B runs code
- README.md 6.7 KB
- references/agents-md.md 7.5 KB
- references/claude-md.md 1.1 KB
- references/llm-wiki.toml 764 B
- references/page-templates.yaml 3.8 KB
- requirements.txt 45 B
- scripts/__init__.py 27 B runs code
- scripts/config.py 3.3 KB runs code
- scripts/graph.py 4.5 KB runs code
- scripts/ingest.py 6.2 KB runs code
- scripts/init-wiki.py 8.1 KB runs code
- scripts/lint.py 8.3 KB runs code
- scripts/setup-qmd.sh 1.3 KB runs code
- scripts/stats.py 8.3 KB runs code
- scripts/update-index.py 4.3 KB runs code
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.
- 8d ago First seen · 121 lines · 42 tokens per session scan A adee7350a975
llm-wiki is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 1,459 once invoked, about $0.0002 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 2026-09-03.
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