kitaru-skills: Instructions file for Codex

AGENTS.md

kitaru-skills AGENTS.md is an instructions file for Codex, OpenCode from zenml-io/kitaru-skills. It costs 2,031 tokens per session, scanned A, original, Apache-2.0.

Repository guidance for Kitaru agent skills, including its project layout, validation commands, style expectations, and accuracy rules. Kitaru is a set of skills for investigating software behavior and running controlled replay experiments.

In plain words
What is it for?
Working on Kitaru’s investigation, guided-tour, and replay-experiment skills, and checking changes against the repository’s documented requirements.
Why use it?
It gives coding agents the structure and quality checks needed to edit or extend the skills consistently.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions .claude-plugin; mentions CLAUDE.md.

This is zenml-io/kitaru-skills's own configuration. It tells Codex and OpenCode how to work on kitaru-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kitaru-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zenml-io/kitaru-skills. 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-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/zenml-io/kitaru-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 2,031 This file is loaded in full into every session.
When invoked 2,031 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02031 $0.02031
Opus 5.5 $0.00812 $0.00812
Sonnet 5.5 $0.00406 $0.00406
Haiku 4.5 $0.00203 $0.00203

Measured 1mo ago against content hash e1d75f1ee00b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kitaru-skills 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 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.

AGENTS.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Contributor scope

When editing or reviewing a distributed skill, treat its workflow instructions as content to maintain. Execute that workflow only when the user requests it. The accuracy requirements below describe behavior the published skills must preserve; verifying changed CLI/MCP guidance is a contributor responsibility.

Complete authorized work through relevant validation and final diff review. Reuse explicit authorization already given for the same scope. Ask again when an action exceeds that scope, and continue independent authorized work while awaiting an answer. Preserve human-review checkpoints and explicit replay tool policies; authorization to execute does not supply human labels or a tool policy.

If contributor or skill guidance blocks requested work, identify and link to the exact file, quote the instruction, and explain why it applies. Distinguish an explicit requirement from your interpretation.

Project structure

This repository distributes public Kitaru agent skills plus Claude Code plugin metadata. It is not a Python package.

  • skills/kitaru-investigation/SKILL.md is Kitaru's public front-door playbook, from setup, provider imports, and insight evidence through reviewed behavior, evaluator selection, and replay handoff.
  • skills/kitaru-guided-tour/SKILL.md gives first-time users a value-first quickstart example tour with prepared observations, frontend verdicts, and one deterministic evaluator followed by an approved bounded replay experiment.
  • skills/kitaru-guided-tour/references/ contains the starter contract, tour method, friendly tutorial narration, and the bounded operations needed for that experience.
  • skills/kitaru-hosted-onboarding-tour/SKILL.md is the compact, resume-safe tour used by the controlled ZenML Pro hosted onboarding runner.
  • skills/kitaru-hosted-onboarding-tour/references/ contains its bounded state, operation, review, evaluator, and replay method.
  • skills/kitaru-investigation/references/ contains method, transport, public starter, and evaluator details loaded only when needed.
  • skills/kitaru-validate-evaluator/ guides criterion-specific human labeling, exact-run comparisons, and development/test separation. Its reporting helper computes counts from local normalized snapshots, not new Kitaru product state.
  • skills/kitaru-replay-experiment/SKILL.md guides one safe, bounded candidate comparison against an accepted cohort and exact evaluator set.
  • skills/kitaru-replay-experiment/references/ separates current Kitaru replay contracts from the comparison and interpretation method.
  • skills/kitaru-replay-experiment/agents/openai.yaml contains host-facing display metadata for the replay skill.
  • skills/kitaru-importer-builder/SKILL.md guides custom parser and optional API fetcher development.
  • skills/kitaru-importer-builder/references/ contains parser, normalization, validation, and recovery details loaded only when needed.
  • skills/kitaru-adapter-builder/SKILL.md selects a supported provider-backed adapter or guides project-local development for unsupported Python and TypeScript frameworks.
  • skills/kitaru-adapter-builder/references/ separates the shared method, Python and TypeScript SDK contracts, and validation and reporting rules.
  • .claude-plugin/plugin.json defines the Claude Code plugin.
  • .claude-plugin/marketplace.json defines its marketplace entry.
  • README.md is the public installation and usage guide.
  • CLAUDE.md contains Claude Code-specific contributor guidance.

Read the full file on GitHub · 181 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. 1mo ago Changed · +6 lines · +79 tokens per session e1d75f1ee00b
  2. 1mo ago Changed · +20 lines · +285 tokens per session cd778784e734
  3. 1mo ago Changed · +8 lines · +121 tokens per session 67a89afd85d7
  4. 1mo ago First seen · 147 lines · 1,546 tokens per session scan A b680828af9b7

Subscribe to this mod's changes

kitaru-skills AGENTS.md is an instructions file published in the GitHub repository zenml-io/kitaru-skills (6 stars, last pushed 3d ago), licensed Apache-2.0. It adds 2,031 tokens to every session, about $0.0081 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 2026-08-31.

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