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/claude-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 | $0.00005 | $0.00005 |
| Opus 5 | $0.00003 | $0.00003 |
| Sonnet 5 | $0.00001 | $0.00001 |
| Haiku 4.5 | $0.00001 | $0.00001 |
Grade A, and why
Mooncake CLAUDE.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 yesterday.
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.
This is a copy
100% identical to deepseek-harness CLAUDE.md — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
@AGENTS.md
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.
- yesterday First seen · 2 lines · 5 tokens per session scan A 336cc4fbf19b
Mooncake CLAUDE.md is an instructions file published in the GitHub repository kvcache-ai/Mooncake (6,438 stars, last pushed 2d ago), licensed Apache-2.0. It adds 5 tokens to every session, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 3 lines, and is treated as a copy.
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
Instructions for vllm-project/semantic-router, covering github copilot instructions, start here and review priorities.
oumi AGENTS.md
Instructions for oumi-ai/oumi, covering agent instructions, publication policy and working with contributions.
semantic-router 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
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.