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.
curl -O https://raw.githubusercontent.com/zenml-io/kitaru-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/zenml-io/kitaru-skillsWrote 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/zenml-io/kitaru-skills/agents-md)<a href="https://agentmods.dev/instructions/zenml-io/kitaru-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/zenml-io/kitaru-skills/agents-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/zenml-io/kitaru-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/zenml-io/kitaru-skills/agents-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 | $0.01667 | $0.01667 |
| Opus 5 | $0.00834 | $0.00834 |
| Sonnet 5 | $0.00333 | $0.00333 |
| Haiku 4.5 | $0.00167 | $0.00167 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project structure
This repository distributes public Kitaru agent skills plus Claude Code plugin metadata. It is not a Python package.
skills/kitaru-investigation/SKILL.mdis Kitaru's public front-door playbook, from setup and session evidence through reviewed behavior, evaluator selection, and replay handoff.skills/kitaru-guided-tour/SKILL.mdgives 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.mdis 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-replay-experiment/SKILL.mdguides 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.yamlcontains host-facing display metadata for the replay skill.skills/kitaru-importer-builder/SKILL.mdguides custom importer development.skills/kitaru-importer-builder/references/contains parser, normalization, validation, and recovery details loaded only when needed.skills/kitaru-adapter-builder/SKILL.mdselects 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.jsondefines the Claude Code plugin..claude-plugin/marketplace.jsondefines its marketplace entry.README.mdis the public installation and usage guide.CLAUDE.mdcontains Claude Code-specific contributor guidance.
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 · +8 lines · +121 tokens per session 67a89afd85d7
- 9d ago First seen · 147 lines · 1,546 tokens per session scan A b680828af9b7
kitaru-skills AGENTS.md is an instructions file published in the GitHub repository zenml-io/kitaru-skills (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,667 tokens to every session, about $0.0083 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 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode buildNext.instructions.md
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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.