Agent skill

LLM Wiki

by nashsu in nashsu/llm_wiki_skill

Query the user's LLM Wiki knowledge base (the LLM Wiki desktop app at 127.0.0.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool).

No licenceAuto-check passedKnowledge Management

Install LLM Wiki

skills CLI
$ npx skills add nashsu/llm_wiki_skill --skill llm-wiki -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nashsu/llm_wiki_skill llm-wiki --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
llm-wiki
GitHub stars
145
Token cost
~3.2k tokens
SKILL.md length
1,357 words
Files
4
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Query the user's LLM Wiki knowledge base (the LLM Wiki desktop app at 127.0.0.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool).

  • Works in 3 steps: LLM_WIKI_API_TOKEN environment variable… → The user's apiConfig.token saved via… → allowUnauthenticated: true mode (no…
  • LY when the user explicitly names LLM Wiki
  • SKILL.md covers When to invoke, Quick start, Auth model and Standard workflow, plus 4 more sections
  • Calls curl; needs LLM_WIKI_API_TOKEN

What it does

LLM Wiki is an agent skill from nashsu/llm_wiki_skill. Query the user's LLM Wiki knowledge base (the LLM Wiki desktop app at 127.0.0.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool). Trigger ONLY when the user explicitly names LLM Wiki, says 'my wiki', 'my 知识库 / 知识库 / knowledge base', or asks things like 'what does my wiki say about X', 'read wiki page Y', 'show my wiki graph / 知识图谱', 'search in my LLM Wiki project', 'rescan my wiki sources / 重新索引', or names a wiki project by ID. DO NOT trigger on generic 'search my notes', 'find in my…

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `README.md`, `api-reference.md` and `examples.md`).

It sits in Knowledge Management, covering LLM wikis. It works with Obsidian and Notion.

When your agent uses it

  • LY when the user explicitly names LLM Wiki
  • My 知识库 / 知识库 / knowledge base
  • Asks things like what does my wiki say about X
  • Read wiki page Y

Example prompts

  • “my wiki”
  • “my 知识库 / 知识库 / knowledge base”
  • “what does my wiki say about X”
  • “/llm-wiki”

Requirements

  • Python 3
  • A credential in LLM_WIKI_API_TOKEN

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. LLM_WIKI_API_TOKEN environment variable (if set, overrides UI)
  2. The user's apiConfig.token saved via Settings → API Server
  3. allowUnauthenticated: true mode (no token needed; rare, user opt-in only)

What it can do on your machine

Read from SKILL.md and the folder at commit 642b438. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LLM_WIKI_API_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LLM Wiki loads about 3.2k tokens when it runs. Until then it costs about 199 tokens; SKILL.md has 1,357 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~199
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,357 words (~3,188 tokens).

“Talk to the user's locally-running LLM Wiki app over its built-in HTTP API. This is a standard JSON API — call it directly with whatever HTTP tool is already in your environment (curl, fetch, requests, http middleware, etc.). No client…”

— opening of SKILL.md by nashsu
name
llm-wiki

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in the repository root of nashsu/llm_wiki_skill.

  • SKILL.md
  • README.md
  • api-reference.md
  • examples.md

Open the folder on GitHubat commit 642b438

Compare with similar skills

LLM Wiki next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LLM Wiki compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Wiki this skillnashsu/llm_wiki_skill145—~3.2kAutomated safety check: PassNone
Hermes History IngestAr9av/obsidian-wiki3.5k1 repos~2.2kAutomated safety check: NotesMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Codex History IngestAr9av/obsidian-wiki3.5k—~2.2kAutomated safety check: NotesMIT
Obsidian CLI Read TransportAgriciDaniel/claude-obsidian15k1 repos~762Automated safety check: PassMIT
LLM Wikizosmaai/pi-llm-wiki606—~4.4kAutomated safety check: PassMIT

Similar skills

  • Hermes History Ingest

    Ar9av/obsidian-wiki

    Ingest Hermes agent history into Obsidian as distilled knowledge.

    3.5k GitHub starsUsed in 1 repo~2.2k tokens
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  • LLM Wiki

    lewislulu/llm-wiki-skill

    Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…

    655 GitHub stars~3.7k tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • Codex History Ingest

    Ar9av/obsidian-wiki

    Ingest Codex CLI conversation/session history into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.2k tokensUpdated yesterday
    Knowledge ManagementAuto-check: notes
  • Obsidian CLI Read Transport

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    Detects and uses the official Obsidian command-line interface for read-only vault access, falling back to direct file reads, while all mutations stay on a separate transaction core.

    15k GitHub starsUsed in 1 repo~762 tokens
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  • LLM Wiki

    zosmaai/pi-llm-wiki

    Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern.

    606 GitHub stars~4.4k tokensUpdated 2 days ago
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  • LLM Wiki

    praneybehl/llm-wiki-plugin

    Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.

    118 GitHub stars~5.7k tokensUpdated 25 days ago
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Works with

Questions about LLM Wiki

What does LLM Wiki do?

Query the user's LLM Wiki knowledge base (the LLM Wiki desktop app at 127.0.0.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool). LLM Wiki is an agent skill from nashsu/llm_wiki_skill.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool).

When should I use LLM Wiki?

LLM Wiki fits situations like: LY when the user explicitly names LLM Wiki; my 知识库 / 知识库 / knowledge base; asks things like what does my wiki say about X; read wiki page Y.

How do I install LLM Wiki in Claude Code?

Run `npx skills add nashsu/llm_wiki_skill --skill llm-wiki -a claude-code`. Or copy the skill folder (the nashsu/llm_wiki_skill repository) into .claude/skills/llm-wiki in your project. Claude Code loads it when a task matches its description.

How do I install LLM Wiki in Codex?

Run `npx skills add nashsu/llm_wiki_skill --skill llm-wiki -a codex`. Or copy the skill folder (the nashsu/llm_wiki_skill repository) into .agents/skills/llm-wiki in your project. Codex loads it when a task matches its description.

Can I use LLM Wiki in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nashsu/llm_wiki_skill --skill llm-wiki -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-wiki, .gemini/skills/llm-wiki, .github/skills/llm-wiki and .opencode/skills/llm-wiki in your project.

What does LLM Wiki need to run?

Going by SKILL.md and its folder, LLM Wiki needs the command-line tools its instructions call (curl) and credentials named LLM_WIKI_API_TOKEN. Our summary lists: Python 3; A credential in LLM_WIKI_API_TOKEN.

Does LLM Wiki access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is LLM Wiki safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does LLM Wiki use?

No licence was found for LLM Wiki or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does LLM Wiki use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to LLM Wiki?

Skills that share tags, products or a category with LLM Wiki: Hermes History Ingest (Ar9av/obsidian-wiki, 3.5k stars), LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Codex History Ingest (Ar9av/obsidian-wiki, 3.5k stars) and Obsidian CLI Read Transport (AgriciDaniel/claude-obsidian, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Wiki?

nashsu (a GitHub user) maintains it in nashsu/llm_wiki_skill, which has 145 GitHub stars. The repository was last updated on May 19, 2026.

Source: nashsu/llm_wiki_skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.