knowledge-base

A toolkit for collecting documentation and source material, then preparing it for search-based question answering. Qdrant is a database designed to store and search this kind of information.

In plain words
What is it for?
Use it to crawl documentation, build or refresh a Qdrant-backed knowledge base, capture document sections, and create Markdown that language models can use.
Why use it?
It reduces the manual work of gathering documents, selecting sections, and formatting them consistently for an AI system.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dinglebear-ai/axon/knowledge-base
Any agent
npx skills add dinglebear-ai/axon --skill knowledge-base
Clone the repo
git clone --depth 1 https://github.com/dinglebear-ai/axon

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 790 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00036 $0.00790
Opus 5 $0.00018 $0.00395
Sonnet 5 $0.00007 $0.00158
Haiku 4.5 $0.00004 $0.00079

Measured 2d ago against content hash 8b361c1adbf7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-base 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 2d 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.

plugins/axon/skills/knowledge-base/SKILL.md · 95 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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.

  1. 2d ago First seen · 95 lines · 36 tokens per session scan A 8b361c1adbf7

Subscribe to this mod's changes

knowledge-base is a skill published in the GitHub repository dinglebear-ai/axon (4 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 36 tokens to every session and 790 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

local-rag-search

Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of…

nkapila6/mcp-local-rag · 80 tokens

tautulli

Monitor and analyze Plex Media Server usage via Tautulli analytics API. Use when the user asks to "check Tautulli", "Plex analytics", "watch statistics", "current streams", "who's watching", "Plex history", "most watched", "user activity", "library stats", or mentions Tautulli/Plex monitoring.

jmagar/claude-homelab · 74 tokens

notebooklm

Programmatic access to Google NotebookLM for creating notebooks, adding sources (URLs, YouTube, PDFs, audio, video, images), chatting with content, generating artifacts (podcasts, videos, reports, quizzes, mind maps, flashcards, infographics), and downloading results. Includes capabilities beyond the web UI.

jmagar/claude-homelab · 67 tokens

plex

Control Plex Media Server - browse libraries, search media, check what's playing, view recently added. Use when the user asks to "check Plex", "search Plex", "what's on Plex", "recently added", "who's watching", "Plex sessions", "Plex library", "browse movies", "browse TV shows", or mentions Plex media server.

jmagar/claude-homelab · 76 tokens

gh-address-comments

This skill should be used when addressing GitHub pull request review comments systematically with mandatory resolution tracking. Use when user says "address PR comments", "fix review feedback", "handle PR review", "resolve PR threads", or needs to ensure all review comments are addressed before merging. Fetches…

jmagar/claude-homelab · 85 tokens

linkding

Manage bookmarks with Linkding. Use when the user asks to "save a bookmark", "add link", "search bookmarks", "list my bookmarks", "find saved links", "tag a bookmark", "archive bookmark", "check if URL is saved", "list tags", "create bundle", or mentions Linkding bookmark management.

jmagar/claude-homelab · 69 tokens