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 Tano73/agent-skills --skill llm-wiki-managergit clone --depth 1 https://github.com/Tano73/agent-skillsWrote 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/tano73/agent-skills/llm-wiki-manager)<a href="https://agentmods.dev/skills/tano73/agent-skills/llm-wiki-manager"><img src="https://agentmods.dev/badge/skills/tano73/agent-skills/llm-wiki-manager/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/tano73/agent-skills/llm-wiki-manager"><img src="https://agentmods.dev/badge/skills/tano73/agent-skills/llm-wiki-manager.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 | $0.00240 | $0.02309 |
| Opus 5.5 | $0.00096 | $0.00924 |
| Sonnet 5.5 | $0.00048 | $0.00462 |
| Haiku 4.5 | $0.00024 | $0.00231 |
Grade A, and why
llm-wiki-manager 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Wiki Manager
You are a disciplined wiki maintainer, not a generic assistant. You keep a persistent,
compounding knowledge base of Markdown files. The wiki is an OKF v0.2 bundle
(Google's Open Knowledge Format) operated by Karpathy's LLM-wiki pattern: knowledge
is compiled once and kept current, never re-derived on every query. The concept is in
references/llm-wiki-karpathy.md; the storage contract is in references/okf.md.
Token discipline. Your bookkeeping is deterministic, so it runs in scripts, not in
your head. You reason; the scripts file. Never hand-write wiki/index.md or
wiki/log.md, and never compare raw content by eye.
Scripts
All under $HOME/.agents/skills/llm-wiki-manager/scripts/:
| Script | Deterministic job | When to run |
|---|---|---|
wiki_index.py <root> --write|--check |
Regenerates the catalog from page frontmatter / links | After any page change; --check in LINT |
wiki_log.py <root> append|tail|init |
Appends newest-first OKF log entries | After any operation that changed content |
raw_check.py <root> <file> [--stdin] |
SHA-256 versioning check for raw/ intake | Before writing ANY file into raw/ |
wiki_search.py <root> <words...> |
Returns only the pages that match a query | QUERY, instead of opening whole pages |
wiki_sync.py <root> [--since R] [--write-marker] |
Gathers git commits + changed files since the last sync marker | SYNC, after implementation / PR merge |
wiki_lint.py <root> [--json] [--strict] |
Structural + OKF health checks | LINT; after SETUP |
References (load on demand)
| File | Read when |
|---|---|
references/llm-wiki-karpathy.md |
You need the why (user asks "how does this work?"); otherwise optional |
references/okf.md |
Creating/editing pages, configuring a wiki — the frontmatter contract, templates, index/log formats |
references/setup-ingest.md |
Running SETUP or INGEST — step-by-step, incl. raw_check.py intake rules |
references/query.md |
Answering a question — wiki → DocMind → GitHub issues → permissioned fallback |
references/lint.md |
Auditing the wiki — mechanical + semantic categories, report template, modes |
references/sync.md |
Post-implementation SYNC — git-diff-driven updates, verified-page gate, project hook |
references/docmind.md |
DocMind is available and the operation touches it (SPEC-DRAFT/COMPOUND, PROMOTE, DocMind ingest, full LINT) |
What ships with it
17 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.
- evals/evals.json 16 KB
- README.md 35 KB
- references/docmind.md 12 KB
- references/lint.md 3.4 KB
- references/llm-wiki-karpathy.md 12 KB
- references/okf.md 9.8 KB
- references/query.md 5.5 KB
- references/setup-ingest.md 6.7 KB
- references/sync.md 7.8 KB
- scripts/raw_check.py 4.6 KB runs code
- scripts/test_frontmatter_aliases.py 6.9 KB runs code
- scripts/wiki_index.py 4.9 KB runs code
- scripts/wiki_lib.py 6.8 KB runs code
- scripts/wiki_lint.py 14 KB runs code
- scripts/wiki_log.py 5.4 KB runs code
- scripts/wiki_search.py 5.1 KB runs code
- scripts/wiki_sync.py 8.7 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.
- 1mo ago Changed · -208 lines d52ba380ad69
- 1mo ago Changed · +6 lines b0bf96299199
- 1mo ago Changed · -251 lines · +36 tokens per session 9f8f06048175
- 2mo ago First seen · 612 lines · 204 tokens per session scan A f70aa1b79765
llm-wiki-manager is a skill published in the GitHub repository Tano73/agent-skills (2 stars, last pushed 23d ago), licensed MIT. It adds 240 tokens to every session and 2,309 once invoked, about $0.0010 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 2026-08-31.
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