Borrowing it
Nothing to install: this file belongs to calinfaja/K-LEAN. 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/calinfaja/K-LEAN/main/CLAUDE.mdgit clone --depth 1 https://github.com/calinfaja/K-LEANWrote 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/calinfaja/k-lean/claude-md)<a href="https://agentmods.dev/instructions/calinfaja/k-lean/claude-md"><img src="https://agentmods.dev/badge/instructions/calinfaja/k-lean/claude-md/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.
<a href="https://agentmods.dev/instructions/calinfaja/k-lean/claude-md"><img src="https://agentmods.dev/badge/instructions/calinfaja/k-lean/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01583 | $0.01583 |
| Opus 5.5 | $0.00633 | $0.00633 |
| Sonnet 5.5 | $0.00317 | $0.00317 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
K-LEAN 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
K-LEAN is a multi-model code review and knowledge capture system for Claude Code. It provides consensus reviews from multiple LLMs via LiteLLM proxy, a persistent per-project knowledge database with hybrid semantic search, and 8 specialist agents for domain-specific analysis.
Package name: kln-ai (PyPI)
Entry points: kln (main CLI), kln-smol (agent executor)
Development Commands
IMPORTANT: Always use the project venv at .venv/. System python lacks required dependencies (platformdirs, psutil, etc.) and will fail on import.
# Install in editable mode
pipx install -e .
# Run tests (MUST use .venv)
.venv/bin/pytest tests/ -v
.venv/bin/pytest tests/unit/test_hooks.py -v
.venv/bin/pytest tests/unit/test_hooks.py::TestClassName::test_method -v
# Lint (MUST use .venv)
.venv/bin/ruff check src/
.venv/bin/ruff check src/ --fix
# Format
.venv/bin/black src/
# Sync data files to ~/.claude/ after editing data/*
kln admin sync
# Check installation health
kln doctor -f
Architecture
Core Flow
Claude Code
|
v
/kln:* commands (data/commands/kln/*.md)
|
+---> LiteLLM Proxy (localhost:4000) ---> NanoGPT/OpenRouter
|
+---> Knowledge DB (.knowledge-db/) - fastembed hybrid search
|
+---> SmolKLN Agents (src/klean/smol/) - smolagents framework
Key Modules
| Module | Purpose |
|---|---|
src/klean/cli.py |
Click CLI with subgroups: model, provider, admin |
src/klean/discovery.py |
Dynamic model discovery from LiteLLM proxy |
src/klean/config_generator.py |
LiteLLM config generation with non-destructive merging |
src/klean/model_defaults.py |
Default model configurations per provider |
src/klean/model_utils.py |
Model name extraction and parsing utilities |
src/klean/smol/executor.py |
Single agent execution with tool use |
src/klean/smol/multi_agent.py |
Multi-agent orchestration and consensus |
src/klean/smol/loader.py |
Agent definition loading from markdown (YAML frontmatter + system prompt) |
src/klean/smol/models.py |
LiteLLM model wrapper with thinking model support |
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 First seen · 174 lines · 1,583 tokens per session scan A af291d5b467e
K-LEAN CLAUDE.md is an instructions file published in the GitHub repository calinfaja/K-LEAN (35 stars, last pushed 18d ago), licensed Apache-2.0. It adds 1,583 tokens to every session, about $0.0063 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.