agentmods.dev

KittyCode AGENTS.md

A project guide for KittyCode, with rules for changing code, writing tests, and keeping the codebase readable. TDD means writing a failing test before changing behavior, then making it pass.

In plain words
What is it for?
Use it when modifying KittyCode's code, agent loop, tools, command-line interface, imports, or project structure.
Why use it?
It gives an AI coding assistant clear expectations for safe changes and verification, including the project's required test command and compatibility rules.

Instructions file for CodexOpenCode

6 4mo ago A scan 175 tokens original MIT
View the source file KittLabsAI/KittyCode
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/kittlabsai/kittycode/agents-md
Clone the repo
git clone --depth 1 https://github.com/KittLabsAI/KittyCode

Made for: Codex, OpenCode.

Per session 175 This file is loaded in full into every session.
When invoked 175 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 $0.00175 $0.00175
Opus 5 $0.00088 $0.00088
Sonnet 5 $0.00035 $0.00035
Haiku 4.5 $0.00017 $0.00017

Measured 2d ago against content hash 45a972408827, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

KittyCode 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 2d 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 · 17 lines

What it actually says

KittyCode Agent Guide

Development Rules

  • Practice TDD when behavior changes: add or update a failing test first whenever practical.
  • Reuse existing functions and modules before adding new helpers or parallel code paths.
  • Do not introduce redundant variables, redundant helper functions, or duplicated logic.
  • Prefer small, explicit functions with clear inputs and outputs.

Constraints

  • Every code change must pass the full test suite: python -m pytest -q.
  • Do not leave the project with broken imports, half-moved modules, or stale structure documentation.
  • If a package move breaks legacy import paths still used by tests or callers, add a compatibility layer instead of forcing a broad rewrite.
  • Keep the implementation simple and readable; avoid unnecessary architectural expansion.
  • When changing the agent loop, tools, or CLI interrupt flow, verify both normal completion and interruption paths.
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. 2d ago First seen · 17 lines · 175 tokens per session scan A 45a972408827

Subscribe to this mod's changes

KittyCode AGENTS.md is an instructions file published in the GitHub repository KittLabsAI/KittyCode (6 stars, last pushed 4mo ago), licensed MIT. It adds 175 tokens to every session, about $0.0009 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.

TestingWriting and docsagentclaude-codecodexcoding-agentgemini-cliopenclaw
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