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/nl8590687/lemonclaw/agents-mdgit clone --depth 1 https://github.com/nl8590687/lemonclawWrote 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/nl8590687/lemonclaw/agents-md)<a href="https://agentmods.dev/instructions/nl8590687/lemonclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/nl8590687/lemonclaw/agents-md.svg" alt="Measured on agentmods" 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 | $0.00243 | $0.00243 |
| Opus 5 | $0.00121 | $0.00121 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
lemonclaw 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 6d 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
This file provides guidance to AI coding agents working with this repository.
Project Overview
LemonClaw is an open-source, universal AI digital employee agent.
Project Structure
|- .lemonclaw/ LemonClaw核心配置存储目录
|--- .env LemonClaw环境变量配置文件
|--- .env.example LemonClaw环境变量配置文件样例文件
|--- lemonclaw.db LemonClaw全局Sqlite3数据库文件
|- agent/ Agent实现模块
|- channels/ 输入输出设备和通道实现模块
|- dao/ 数据库model和dao操作模块
|- config/ 配置相关代码模块
|- tests/ 单元测试目录
|- loop.py Agent Loop核心代码
|- main.py 启动入口代码
Structure Design
约束
- 实现代码之前，必须先了解当前项目的整体代码风格和架构设计，保持现在的设计不变
- 整个项目全局只能使用一个 sqlite数据库文件
.lemonclaw/lemonclaw.db，不允许出现多个。
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.
- 6d ago First seen · 27 lines · 243 tokens per session scan A 49a7aca6023d
lemonclaw AGENTS.md is an instructions file published in the GitHub repository nl8590687/lemonclaw (53 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 243 tokens to every session, about $0.0012 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
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.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.