What is kitaru CLAUDE.md?

Repository instructions for Kitaru, a system for recording, replaying, and improving AI agents in production. They describe the project layout, documentation, website, marketing materials, and development guidance.

Use them when editing Kitaru code or docs, locating the right project area, and following its record-replay-improve approach for diagnosing and testing AI agents.

They give a coding agent the project context needed to make consistent changes across Kitaru's Python package, server, client, tests, examples, and documentation.

How zenml-io/kitaru configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to zenml-io/kitaru. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/zenml-io/kitaru/develop/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/zenml-io/kitaru

Made for: Claude Code.

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/instructions/zenml-io/kitaru/claude-md/github.svg)](https://agentmods.dev/instructions/zenml-io/kitaru/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/zenml-io/kitaru/claude-md"><img src="https://agentmods.dev/badge/instructions/zenml-io/kitaru/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/zenml-io/kitaru/claude-md"><img src="https://agentmods.dev/badge/instructions/zenml-io/kitaru/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,719 This file is loaded in full into every session.

When invoked 3,719 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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	$0.03719	$0.03719
Opus 5.5	$0.01488	$0.01488
Sonnet 5.5	$0.00744	$0.00744
Haiku 4.5	$0.00372	$0.00372

Measured 3d ago against content hash 1e1eb9e85cb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kitaru 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 3d 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.

CLAUDE.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 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.

What is Kitaru?

Kitaru turns an AI agent's traces into insights, checks, and tested fixes. Positioning surfaces (README, docs leads, PyPI, marketing) lead with insights and follow the four steps the Kitaru product page on zenml.io uses: bring your traces (import or record), get insights across every session, turn findings into checks (evaluators, with cohorts, investigations, and experiments behind them), and replay a fix before it ships. Replay is how a fix gets tested, not the headline. The hosted AI engineer that does the reading is the paid layer on top of open-source Kitaru; open-source surfaces mention it once, never as the lead.

Project layout

src/kitaru/           # Python package (src layout) — see src/kitaru/AGENTS.md
  analytics/          # Async analytics client and event source tracking
  api_models/         # Versioned request/response DTOs shared by server and SDK
  client/             # Async SDK making REST calls
  server/             # FastAPI server (API, application, domain, adapters layers)
tests/                # pytest tests — see tests/AGENTS.md
examples/             # Runnable SDK examples: python/ (adapter examples) and typescript/ (SDK + adapter examples)
docs/                 # Three docs surfaces — see "Documentation surfaces" below
  book/               # GitBook source for docs.zenml.io/kitaru (hand-written .md)
  content/docs/       # FumaDocs SDK reference content (generated)
  scripts/            # Node-side doc generation (convert-sdk-docs.mjs)
  app/                # Next.js app routes for the sdkdocs.kitaru.ai reference site
  worker/             # Cloudflare worker: redirect.mjs (kitaru.ai/docs) + routing maps
scripts/              # OpenAPI generation, doc generation, and UI bundle scripts
  generate_openapi.py        # Writes openapi/openapi.json from the FastAPI app
                             # After regenerating, also regenerate the TypeScript
                             # types via `pnpm run generate`
                             # (the typescript CI job fails otherwise)
  check_openapi.sh           # Fails when openapi/openapi.json is out of date
  download-ui.sh             # Bundles stable/prerelease Kitaru UI releases into the package tree
FRONTEND-TESTING.md   # Read first for Kitaru UI bundle/frontend testing,
                       # stable/prerelease release validation, and token boundaries
docker/               # Dockerfiles — see docker/CLAUDE.md for full architecture details
design/               # Design docs, meeting notes (gitignored, never commit)

Read the full file on GitHub · 139 lines

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.

3d ago Changed · +73 tokens per session 1e1eb9e85cb9
7d ago Changed · -15 lines · -29 tokens per session 540b12357191
8d ago Changed · +2 lines · +143 tokens per session 26063c498e83
10d ago Changed · +1 lines · +79 tokens per session eb7fd6c9c125
1mo ago Changed · -1 lines · -46 tokens per session b9d2c673ad5d
1mo ago Changed · +73 tokens per session 20ed06d3e646
1mo ago Changed · -11 lines · +46 tokens per session 61810efa46f2
2mo ago Changed · +4 lines · +58 tokens per session df77b836176c
2mo ago First seen · 159 lines · 3,322 tokens per session scan A 4e2b6732e920

Subscribe to this mod's changes

kitaru CLAUDE.md is an instructions file published in the GitHub repository zenml-io/kitaru (317 stars, last pushed yesterday), licensed Apache-2.0. It adds 3,719 tokens to every session, about $0.0149 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.

LLM MLOps ai-agents checkpoints durable-execution mcp

kitaru CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
kitaru CLAUDE.mdzenml-io/kitaru	Instructions file	317	yesterday	Apache-2.0	A	3,719	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

kitaru: Instructions file for Claude Code