llm-wiki-manager

llm-wiki-manager is a skill for Claude Code, Codex from Tano73/agent-skills. It costs 240 tokens per session (2,309 once invoked), scanned A, original, MIT.

A manager for a personal software-development knowledge base made of structured Markdown files. It can ingest source material, answer questions from the stored knowledge, and maintain links and an index.

In plain words
What is it for?
Use it to initialize a wiki, add articles or documents, query stored information, and maintain entries about architectures, technologies, decisions, problems, and solutions.
Why use it?
It keeps useful project knowledge from being scattered across separate documents or lost between sessions. Updating the index and cross-references makes the collection easier to use as it grows.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it to initialize a wiki, add articles or documents, query stored information, and maintain entries about architectures, technologies, decisions, problems, and solutions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tano73/agent-skills/llm-wiki-manager
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 Tano73/agent-skills --skill llm-wiki-manager
Clone the repo
git clone --depth 1 https://github.com/Tano73/agent-skills

Made for: Claude Code, Codex.

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 llm-wiki-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/tano73/agent-skills/llm-wiki-manager/github.svg)](https://agentmods.dev/skills/tano73/agent-skills/llm-wiki-manager)
Your own site
<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.

agentmods 80×15 button for llm-wiki-manager

Your own site · 80×15
<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>
Per session 240 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,309 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 $0.00240 $0.02309
Opus 5.5 $0.00096 $0.00924
Sonnet 5.5 $0.00048 $0.00462
Haiku 4.5 $0.00024 $0.00231

Measured 1mo ago against content hash d52ba380ad69, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/raw_check.py, scripts/test_frontmatter_aliases.py, scripts/wiki_index.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/llm-wiki-manager/SKILL.md · 159 lines

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)

Read the full file on GitHub · 159 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.

  1. 1mo ago Changed · -208 lines d52ba380ad69
  2. 1mo ago Changed · +6 lines b0bf96299199
  3. 1mo ago Changed · -251 lines · +36 tokens per session 9f8f06048175
  4. 2mo ago First seen · 612 lines · 204 tokens per session scan A f70aa1b79765

Subscribe to this mod's changes

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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