Mooncake AGENTS.md

Contribution instructions for Mooncake, including rules for changing documentation and preparing pull requests. A pull request is a proposed set of changes submitted for review.

In plain words
What is it for?
Editing documentation, checking related issues or pull requests, running targeted pre-commit checks, and completing pull request templates.
Why use it?
They reduce duplicated work, prevent low-value changes, and ensure AI-assisted contributions are checked and tested before review.

Instructions file for CodexOpenCode

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/kvcache-ai/mooncake/agents-md
Clone the repo
git clone --depth 1 https://github.com/kvcache-ai/Mooncake

Made for: Codex, OpenCode.

Per session 315 This file is loaded in full into every session.
When invoked 315 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 $0.00315 $0.00315
Opus 5 $0.00158 $0.00158
Sonnet 5 $0.00063 $0.00063
Haiku 4.5 $0.00032 $0.00032

Measured 3d ago against content hash ea1d953b4e45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Mooncake 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.

AGENTS.md · 28 lines

What it actually says

AGENTS.md

docs/ Directory Changes

  • Before modifying files under docs/, read docs/AGENTS.md.

Pull Request Guidelines

  • Follow CONTRIBUTING.md for PR title prefixes, RFC expectations, and contribution workflow.
  • Before opening a PR for nontrivial work, check whether an existing issue or open PR already covers the same change. If the work overlaps, explain the difference instead of duplicating it.
  • Do not open low-value busywork PRs for isolated typo, style, or mechanical changes unless they are part of a substantive requested change.
  • Use .github/pull_request_template.md when preparing a PR, and fill in the relevant sections for description, module, type of change, testing, checklist, and AI assistance disclosure.
  • For AI-assisted changes, make sure the human submitter has reviewed every changed line and can defend the change end-to-end.
  • Before handoff, run pre-commit on the files touched by the change when the toolchain is available (see CONTRIBUTING.md for the PR-scoped pre-commit run --files ... command). Do not use pre-commit run --all-files for routine PRs; if it rewrites unrelated files, leave those edits out of the PR.
  • Keep PRs lean: review git diff before staging, and include only changes required for the requested task.
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. 3d ago First seen · 28 lines · 315 tokens per session scan A ea1d953b4e45

Subscribe to this mod's changes

Mooncake AGENTS.md is an instructions file published in the GitHub repository kvcache-ai/Mooncake (6,460 stars, last pushed yesterday), licensed Apache-2.0. It adds 315 tokens to every session, about $0.0016 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.