agentmods.dev

kitaru AGENTS.md

Repository instructions for kitaru, a software project containing a Python package, server, software development kit, examples, and documentation. They describe the project layout, coding practices, and testing guidance.

In plain words
What is it for?
Use them when working on kitaru's Python code, server, SDK, examples, documentation, scripts, tests, adapters, or releases.
Why use it?
They give a coding agent the project context and local rules needed to make changes in the right files and verify them appropriately.

Instructions file for CodexOpenCode

270 4d ago A scan 1,688 tokens original Apache-2.0
View the source file zenml-io/kitaru
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 instructions/zenml-io/kitaru/agents-md
Clone the repo
git clone --depth 1 https://github.com/zenml-io/kitaru

Made for: Codex, OpenCode.

Per session 1,688 This file is loaded in full into every session.
When invoked 1,688 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.01688 $0.01688
Opus 5 $0.00844 $0.00844
Sonnet 5 $0.00338 $0.00338
Haiku 4.5 $0.00169 $0.00169

Measured yesterday against content hash 1be293601629, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kitaru AGENTS.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 yesterday.

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.

AGENTS.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Kitaru is a mixed Python + docs repo. It produces the Python package (SDK and server) and the SDK reference docs app. The public marketing site and kitaru.ai runtime live in the sibling zenml-io-v2 repository, not here.

Project Map

  • src/kitaru/: Python package (src layout); see src/kitaru/AGENTS.md
  • src/kitaru/api_models/: versioned request/response DTOs shared by server and SDK
  • src/kitaru/client/: async SDK making REST calls
  • src/kitaru/server/: FastAPI server (API, application, domain, adapters layers)
  • tests/: pytest suite; see tests/AGENTS.md when working there
  • examples/: runnable SDK examples, grouped as python/ and typescript/
  • docs/book/: hand-written GitBook docs; see docs/book/AGENTS.md
  • docs/content/docs/: generated SDK reference content
  • docs/app/, docs/scripts/, docs/worker/: reference app, generation, and redirect worker code
  • scripts/: OpenAPI generation, doc generation, and UI bundle scripts
  • docker/: Dockerfiles
  • design/: gitignored design notes; never commit anything from this directory

For adapter, importer, specialized UI API, docs, CI, and release work, load the matching Kitaru repo skill under .agents/skills/. Keep each logical repo skill available under the same name in .claude/skills/; share host-neutral guidance and diverge only for a documented host-specific reason.

Core Commands

Use uv for Python dependency management and just for the normal command stack.

  • uv sync: install and sync dependencies
  • uv sync --extra server: include server components
  • just fix: auto-fix formatting, lint, and YAML issues
  • just check: run format, lint, typecheck, typos, YAML, actions lint, and links
  • just test: run the full pytest suite
  • just test tests/test_file.py::test_name: run one targeted test
  • just build: build wheel and sdist locally

Typical loop: write code -> just fix -> just check -> just test.

When running the full suite through output that may truncate, preserve the failure names:

Read the full file on GitHub · 134 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.

  1. yesterday First seen · 134 lines · 1,688 tokens per session scan A 1be293601629

Subscribe to this mod's changes

kitaru AGENTS.md is an instructions file published in the GitHub repository zenml-io/kitaru (270 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1,688 tokens to every session, about $0.0084 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.

Data and AILLMMLOpsTestingWriting and docsai-agentscheckpointsdurable-executionmcp
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