llm-wiki

llm-wiki is a skill for Claude Code, Codex from nobodyohm-web/Thot. It costs 19 tokens per session (4,846 once invoked), scanned B, a copy of llm-wiki, MIT.

A persistent knowledge base made from linked Markdown files, based on a method for organizing and querying an interconnected language-model wiki. It stores sources, summaries, cross-references, and flagged contradictions.

In plain words
What is it for?
Create or maintain a wiki, ingest sources, answer questions from existing notes, and check the knowledge base for consistency.
Why use it?
It lets useful research accumulate over time instead of being rediscovered from scratch for every question.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Create or maintain a wiki, ingest sources, answer questions from existing notes, and check the knowledge base for consistency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nobodyohm-web/thot/llm-wiki
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 nobodyohm-web/Thot --skill llm-wiki
Clone the repo
git clone --depth 1 https://github.com/nobodyohm-web/Thot

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/nobodyohm-web/thot/llm-wiki/github.svg)](https://agentmods.dev/skills/nobodyohm-web/thot/llm-wiki)
Your own site
<a href="https://agentmods.dev/skills/nobodyohm-web/thot/llm-wiki"><img src="https://agentmods.dev/badge/skills/nobodyohm-web/thot/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.

agentmods 80×15 button for llm-wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/nobodyohm-web/thot/llm-wiki"><img src="https://agentmods.dev/badge/skills/nobodyohm-web/thot/llm-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,846 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00019 $0.04846
Opus 5 $0.00010 $0.02423
Sonnet 5 $0.00004 $0.00969
Haiku 4.5 $0.00002 $0.00485

Measured 5d ago against content hash 0229e37c1783, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

llm-wiki scanned grade B with 1 finding 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 5d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo loginctl enable-linger $USER
Origin

This is a copy

100% identical to llm-wiki — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

hermes/skills/research/llm-wiki/SKILL.md · 508 lines

How it starts

The opening of the file, as written. The whole thing — 508 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Karpathy's LLM Wiki

Build and maintain a persistent, compounding knowledge base as interlinked markdown files. Based on Andrej Karpathy's LLM Wiki pattern.

Unlike traditional RAG (which rediscovers knowledge from scratch per query), the wiki compiles knowledge once and keeps it current. Cross-references are already there. Contradictions have already been flagged. Synthesis reflects everything ingested.

Division of labor: The human curates sources and directs analysis. The agent summarizes, cross-references, files, and maintains consistency.

When This Skill Activates

Use this skill when the user:

  • Asks to create, build, or start a wiki or knowledge base
  • Asks to ingest, add, or process a source into their wiki
  • Asks a question and an existing wiki is present at the configured path
  • Asks to lint, audit, or health-check their wiki
  • References their wiki, knowledge base, or "notes" in a research context

Wiki Location

Location: Set via WIKI_PATH environment variable (e.g. in ${HERMES_HOME:-~/.hermes}/.env).

If unset, defaults to ~/wiki.

WIKI="${WIKI_PATH:-$HOME/wiki}"

The wiki is just a directory of markdown files — open it in Obsidian, VS Code, or any editor. No database, no special tooling required.

Architecture: Three Layers

wiki/
├── SCHEMA.md           # Conventions, structure rules, domain config
├── index.md            # Sectioned content catalog with one-line summaries
├── log.md              # Chronological action log (append-only, rotated yearly)
├── raw/                # Layer 1: Immutable source material
│   ├── articles/       # Web articles, clippings
│   ├── papers/         # PDFs, arxiv papers
│   ├── transcripts/    # Meeting notes, interviews
│   └── assets/         # Images, diagrams referenced by sources
├── entities/           # Layer 2: Entity pages (people, orgs, products, models)
├── concepts/           # Layer 2: Concept/topic pages
├── comparisons/        # Layer 2: Side-by-side analyses
└── queries/            # Layer 2: Filed query results worth keeping

Read the full file on GitHub · 508 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. 5d ago First seen · 508 lines · 19 tokens per session scan B 0229e37c1783

Subscribe to this mod's changes

llm-wiki is a skill published in the GitHub repository nobodyohm-web/Thot (0 stars, last pushed 14d ago), licensed MIT. It adds 19 tokens to every session and 4,846 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 100% identical to llm-wiki, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

mem0-tour

Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting an overview of captured decisions, conventions, and learnings.

mem0ai/mem0 · 47 tokens

Self-Improving + Proactive Agent

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when (1) a command, tool, API, or operation fails; (2) the user corrects you or rejects your work; (3) you realize your knowledge is outdated or incorrect; (4) you…

UnicomAI/wanwu · 105 tokens

wisdom-keep

Protect a CocoWisdom entry from consolidation. Usage: $wisdom keep --id --text " ".

Snowflake-Labs/cocoplus · 30 tokens

memory-hygiene

Objective-defect detector for the memory ecosystem (auto-memory + Odin brain). Runs scripts/memory-hygiene.py, which flags ONLY mechanically-verifiable rot - dangling/circular supersededby refs, orphan memory files not linked from MEMORY.md, and an over-budget MEMORY.md - into a dated report, and exits non-zero when…

mishahanin/heading-os · 160 tokens

persistent-memory

Give this agent durable memory across sessions using YantrikDB. Use at the start of every session to load prior context, whenever the user or a job references past decisions, people, preferences, or earlier runs, and whenever something worth keeping is learned (a decision, a fact, a working method, a qualified lead, a…

yantrikos/yantrikdb-mcp · 84 tokens

memory-evolution

Process pending X-OmniClaw task memories, update MEMORY.md, and rebuild the compact USER-PROFILE.md.

OPPO-Mente-Lab/X-OmniClaw · 29 tokens