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.
npx agentmods add instructions/kvcache-ai/mooncake/agents-mdgit clone --depth 1 https://github.com/kvcache-ai/MooncakeWhat 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 | $0.00315 | $0.00315 |
| Opus 5 | $0.00158 | $0.00158 |
| Sonnet 5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
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.
What it actually says
AGENTS.md
docs/ Directory Changes
- Before modifying files under
docs/, readdocs/AGENTS.md.
Pull Request Guidelines
- Follow
CONTRIBUTING.mdfor 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.mdwhen 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.mdfor the PR-scopedpre-commit run --files ...command). Do not usepre-commit run --all-filesfor routine PRs; if it rewrites unrelated files, leave those edits out of the PR. - Keep PRs lean: review
git diffbefore staging, and include only changes required for the requested task.
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 First seen · 28 lines · 315 tokens per session scan A ea1d953b4e45
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.
Other instructions, from other repositories
UniRL CLAUDE.md
Claude Code instructions for Tencent-Hunyuan/UniRL, covering claude.md, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. goal-driven execution.
UniRL AGENTS.md
AGENTS.md instructions for Tencent-Hunyuan/UniRL, a project described as: UniRL is a Framework for Unified Multimodal Model Reinforcement Learning.
semantic-router copilot-instructions.md
Copilot instructions for vllm-project/semantic-router, covering github copilot instructions, start here and review priorities.
oumi AGENTS.md
AGENTS.md instructions for oumi-ai/oumi, covering agent instructions, publication policy and working with contributions.
semantic-router AGENTS.md
AGENTS.md instructions for vllm-project/semantic-router, covering vllm semantic router agent entry, read first, task routing, repository map and supported environments.
oumi CLAUDE.md
Claude Code instructions for oumi-ai/oumi: Instructions for coding agents live in AGENTS.md — read that file. It covers the publication policy (never push, fork, or open a pull request without the developer's explicit per-instance approval) and points at CONTRIBUTING.md for the contribution workflow.