Borrowing it
Nothing to install: this file belongs to LSTM-Kirigaya/openclaw-onebot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LSTM-Kirigaya/openclaw-onebot/main/AGENTS.mdgit clone --depth 1 https://github.com/LSTM-Kirigaya/openclaw-onebotWrote 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/lstm-kirigaya/openclaw-onebot/agents-md)<a href="https://agentmods.dev/instructions/lstm-kirigaya/openclaw-onebot/agents-md"><img src="https://agentmods.dev/badge/instructions/lstm-kirigaya/openclaw-onebot/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/lstm-kirigaya/openclaw-onebot/agents-md"><img src="https://agentmods.dev/badge/instructions/lstm-kirigaya/openclaw-onebot/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01705 | $0.01705 |
| Opus 5 | $0.00852 | $0.00852 |
| Sonnet 5 | $0.00341 | $0.00341 |
| Haiku 4.5 | $0.00170 | $0.00170 |
Grade A, and why
openclaw-onebot 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw OneBot 插件开发指南
项目概述
OpenClaw OneBot 是一个 OneBot v11 协议渠道插件,用于将 QQ(通过 Lagrange.Core/go-cqhttp/NapCat 等)接入 OpenClaw Gateway。
技术栈
- 语言: TypeScript
- 运行时: Node.js >= 22
- 构建工具: TypeScript Compiler (tsc)
- 包管理器: npm
核心依赖
{
"dependencies": {
"@clack/prompts": "^1.0.0",
"cron": "^4.4.0",
"fuse.js": "^7.1.0",
"highlight.js": "^11.10.0",
"marked": "^15.0.0",
"tsx": "^4.0.0",
"ws": "^8.17.0"
},
"optionalDependencies": {
"satori": "^0.12.0",
"sharp": "^0.33.0"
}
}
项目结构
openclaw-onebot/
├── src/ # 源代码
│ ├── index.ts # 插件入口
│ ├── channel.ts # OneBot 渠道实现
│ ├── connection.ts # WebSocket 连接管理
│ ├── og-image.ts # Markdown 转图片(satori)
│ ├── handlers/ # 消息处理器
│ │ └── process-inbound.ts
│ └── ...
├── dist/ # 编译输出(.js)
├── test/ # 测试脚本
│ └── render-og-image.ts
├── skills/ # OpenClaw 技能
├── themes/ # 主题文件
├── scripts/ # 工具脚本
├── package.json
├── tsconfig.json
└── openclaw.plugin.json # 插件配置
开发工作流
1. 安装依赖
npm install
2. 开发模式
修改 TypeScript 源代码后需要重新编译:
npm run build
3. 测试图片生成功能
# 测试默认主题
npx tsx test/render-og-image.ts default
# 测试 dust 主题
npx tsx test/render-og-image.ts dust
# 输出位置
# test/output-render-default.png
4. 重启 OpenClaw 服务
# 停止服务
launchctl stop ai.openclaw.gateway
# 启动服务
launchctl start ai.openclaw.gateway
# 查看状态
openclaw status
5. 查看日志
# Gateway 日志
tail -f /tmp/openclaw/openclaw-$(date +%Y-%m-%d).log
# LaunchAgent 日志
tail -f /Users/kirigaya/.openclaw/logs/gateway.log
配置说明
OpenClaw 配置
配置文件位置: ~/.openclaw/openclaw.json
关键配置项:
{
"channels": {
"onebot": {
"type": "forward-websocket",
"host": "192.168.10.1",
"port": 3001,
"accessToken": "your-token",
"enabled": true,
"requireMention": true, // 是否需要 @ 才响应
"renderMarkdownToPlain": true,
"longMessageMode": "og_image", // normal | og_image | forward
"ogImageRenderTheme": "dust", // 图片主题
"longMessageThreshold": 300 // 超过此字符数转图片
}
},
"plugins": {
"load": {
"paths": [
"/Users/kirigaya/project/qqbot/openclaw-onebot"
]
}
}
}
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.
- 9d ago First seen · 254 lines · 1,705 tokens per session scan A bb27318cbbc6
openclaw-onebot AGENTS.md is an instructions file published in the GitHub repository LSTM-Kirigaya/openclaw-onebot (143 stars, last pushed 4mo ago), licensed MIT. It adds 1,705 tokens to every session, about $0.0085 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
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 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).
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.
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.