Borrowing it
Nothing to install: this file belongs to rvk7895/llm-knowledge-bases. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rvk7895/llm-knowledge-bases/master/CLAUDE.mdgit clone --depth 1 https://github.com/rvk7895/llm-knowledge-basesWrote 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.
[](https://agentmods.dev/instructions/rvk7895/llm-knowledge-bases/claude-md)<a href="https://agentmods.dev/instructions/rvk7895/llm-knowledge-bases/claude-md"><img src="https://agentmods.dev/badge/instructions/rvk7895/llm-knowledge-bases/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00327 | $0.00327 |
| Opus 5 | $0.00163 | $0.00163 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
llm-knowledge-bases CLAUDE.md 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 8d 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.
What it actually says
CLAUDE.md -- Project Instructions
Project Identity
- LLM Knowledge Base project -- a system of skills for maintaining personal knowledge bases as Obsidian wikis.
- The wiki is the domain of the LLM. Never manually edit wiki articles outside of the kb skill workflows.
Configuration
- Always read
kb.yamlat the project root before operating. It contains paths, output format preferences, and Obsidian config.
Skills
kb-init-- One-time setup to bootstrap a new knowledge base.kb-- Main operating skill with four workflows: compile, query, lint, evolve.research-- Initial research outline generation.research-deep-- Deep research via independent agents per outline item.research-add-fields-- Add field definitions to an existing research outline.research-add-items-- Add items (research targets) to an existing research outline.research-report-- Summarize deep research results into a markdown report.
Formatting Rules (Obsidian-Compatible)
[[wikilinks]]for all internal links (never markdown-style links).[[wikilinks|display text]]when the display name differs from the target.- YAML frontmatter on every article with: title, aliases, tags, sources.
![[image.png]]for image embeds.
Model Strategy
- Opus orchestrates all workflows.
- Haiku for mechanical scanning tasks.
- Sonnet for article writing and research subagents.
- Always set
modelparameter when dispatching subagents.
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.
- 8d ago First seen · 35 lines · 327 tokens per session scan A c29fd70359fe
llm-knowledge-bases CLAUDE.md is an instructions file published in the GitHub repository rvk7895/llm-knowledge-bases (36 stars, last pushed 2mo ago), licensed MIT. It adds 327 tokens to every session, about $0.0016 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.