A method for maintaining a personal knowledge base as organized Markdown pages. When new material arrives, the AI summarizes it, creates or updates topic pages, links related ideas, and records disagreements.

Use it to ingest papers, articles, transcripts, notes, books, customer calls, or code repositories, then ask questions against the accumulated pages.

It prevents every question from starting with a fresh search through raw documents, while keeping useful knowledge available for later questions.

llm-wiki — Skill for Claude Code by praneybehl/llm-wiki-plugin

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 praneybehl/llm-wiki-plugin --skill llm-wiki

Clone the repo

git clone --depth 1 https://github.com/praneybehl/llm-wiki-plugin

Made for: Claude Code.

Or install llm-wiki, the plugin that ships this one along with the rest of its 1 skill.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/praneybehl/llm-wiki-plugin/llm-wiki/github.svg)](https://agentmods.dev/skills/praneybehl/llm-wiki-plugin/llm-wiki)

Your own site

<a href="https://agentmods.dev/skills/praneybehl/llm-wiki-plugin/llm-wiki"><img src="https://agentmods.dev/badge/skills/praneybehl/llm-wiki-plugin/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/praneybehl/llm-wiki-plugin/llm-wiki"><img src="https://agentmods.dev/badge/skills/praneybehl/llm-wiki-plugin/llm-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,860 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00130	$0.04860
Opus 5.5	$0.00052	$0.01944
Sonnet 5.5	$0.00026	$0.00972
Haiku 4.5	$0.00013	$0.00486

Measured 1mo ago against content hash 6839d9f429f5, 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 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 15 executable files (scripts/init_wiki.py, scripts/setup_wiki.py, scripts/test_link_resolution.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/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LLM Wiki

A skill for building and maintaining an LLM-curated knowledge base at any user-chosen filesystem location, following the pattern Andrej Karpathy described in his April 2026 gist. One personal wiki can compound knowledge across projects, or a wiki can be isolated inside one project. The user curates sources and asks questions; the LLM does the bookkeeping.

The pattern in one paragraph

Conventional RAG re-derives knowledge from raw chunks on every query; nothing accumulates. The LLM Wiki pattern flips this: when a new source arrives, the LLM compiles it once into a persistent, structured wiki — extracting concepts, writing entity pages, updating cross-references, flagging contradictions. Subsequent queries read the pre-synthesized wiki rather than the raw sources. Knowledge compounds. The user is in charge of sourcing and asking good questions; the LLM handles the summarizing, linking, and consistency work that humans abandon wikis over.

When to use this skill

The trigger surface is broad. Any time the user is accumulating textual material over time — research papers, articles, transcripts, meeting notes, book chapters, customer calls, code repos, journal entries — and would benefit from having that material organized rather than dumped into a chat each session, this skill applies. It is equally useful for one source ("ingest this paper") and for the steady-state operations against an existing wiki ("what does my wiki say about diffusion models", "lint the wiki", "what's missing").

Resolve the wiki before doing anything else. Prefer, in order: a path named by the user, a path in the nearest project instructions, a path in global agent instructions, then wiki/ in the current project. Read the resolved wiki's SCHEMA.md; it may override defaults documented here. Never silently combine two wikis. If no wiki exists, run the bootstrap step below.

All relative wiki/ and raw/ paths in this skill refer to the resolved wiki and raw-source roots, not necessarily the current working directory.

Read the full file on GitHub · 188 lines

Files

What ships with it

36 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.

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.

1mo ago Changed · +8 lines · -91 tokens per session 6839d9f429f5
1mo ago Changed · +15 lines 177aa3a54120
1mo ago First seen · 165 lines · 221 tokens per session scan A 58d65db5577a

Subscribe to this mod's changes

llm-wiki is a skill published in the GitHub repository praneybehl/llm-wiki-plugin (122 stars, last pushed 1mo ago), licensed MIT. It adds 130 tokens to every session and 4,860 once invoked, about $0.0005 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 2026-08-30.

Memory and context ai-tools claude-code-plugin claude-code-skill karpathy knowledge-base knowledge-management

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