Borrowing it
Nothing to install: this file belongs to lizhiyao/sentry-miniapp. 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/lizhiyao/sentry-miniapp/master/AGENTS.mdgit clone --depth 1 https://github.com/lizhiyao/sentry-miniappWrote 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/lizhiyao/sentry-miniapp/agents-md)<a href="https://agentmods.dev/instructions/lizhiyao/sentry-miniapp/agents-md"><img src="https://agentmods.dev/badge/instructions/lizhiyao/sentry-miniapp/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/lizhiyao/sentry-miniapp/agents-md"><img src="https://agentmods.dev/badge/instructions/lizhiyao/sentry-miniapp/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 | $0.01346 | $0.01346 |
| Opus 5 | $0.00673 | $0.00673 |
| Sonnet 5 | $0.00269 | $0.00269 |
| Haiku 4.5 | $0.00135 | $0.00135 |
Grade A, and why
sentry-miniapp 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 today.
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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Agent 入场清单
sentry-miniapp 是基于 @sentry/core 的跨端小程序 Sentry SDK，覆盖微信、支付宝、字节跳动、钉钉、QQ、百度、快手，并兼容 Taro / uni-app 等跨端框架。所有功能改动都要优先保护跨端兼容性、降级路径和现有 SDK 使用方式。
本文件是 agents.md 开放标准约定的多 agent 入场清单，跨 Claude Code / Codex / Cursor / Aider / Gemini CLI 等工具通用。Claude Code 用户：本仓库的 CLAUDE.md 通过 @AGENTS.md import 同一份内容，无需重复维护。
开工先做
- 涉及 commit、PR、分支或发版时，先看
CONTRIBUTING.md。 - 功能改造前确认对所有已支持平台的影响；如果使用某个平台特有 API，必须提供条件判断或回退机制。
- 交付前默认跑
yarn run lint和yarn run test（Vitest 单测）；涉及构建产物或跨端行为时，再跑yarn run build。 - 代码改造完成后，必须检查并更新相关文档，如
README.md、docs/README.en.md、website/或示例工程文档。
硬规则
- 遵守 GitHub Flow：
master是唯一长期分支；feature / fix / docs / chore 从最新master切短分支，通过 PR 回master。 - 不要直接在
master上提交；不要引入develop或其它长期集成分支。 - commit 格式必须使用 Conventional Commits，并用中文 subject，例如
feat: 新增网络请求体抓取功能。推荐 scope 使用稳定模块名，如sdk/cross-platform/integrations/transports/docs/agents-md/release。 - 遵循现有 ESLint 规范，优先使用 TypeScript。
跨端兼容性
- 改平台能力时，同时考虑微信、支付宝、字节跳动、钉钉、QQ、百度、快手。
- 新增平台特有 API 前，先查现有
src/crossPlatform.ts、src/types.ts和相关 integration / transport 的抽象方式。 - 没有同等能力的平台要有明确回退：跳过、降级、特性检测或保守默认值，避免运行期直接报错。
- 小游戏（微信 / 抖音小游戏）没有
App()/Page()/路由，但有平台wx.*API；用crossPlatform.isMinigame()区分，依赖 App/Page 的能力须守卫 no-op，小游戏专属能力（冷启动、帧率）走MinigameIntegration/FrameRateIntegration，默认仅在小游戏环境启用。 - 测试应覆盖平台差异入口；窄改动至少补对应单测，影响 SDK 初始化、transport、集成插件或事件构建时扩大验证范围。
sentry-miniapp 自带 skill 安装（跨 agent）
仓库根 .agents/skills/sentry-miniapp-sdk/ 是 sentry-miniapp 智能代理 skill 的单一来源，采用中性的 Agent Skills 目录：
- Codex：原生加载
.agents/skills/sentry-miniapp-sdk/，clone 仓库即可使用。 - Claude Code：通过软链
.claude/skills/sentry-miniapp-sdk→.agents/skills/sentry-miniapp-sdk加载，无需重复维护。
需要在其它项目全局复用时，可把同一目录拷到 agent 工具约定的 skill 根目录：
# Codex
cp -r .agents/skills/sentry-miniapp-sdk ~/.agents/skills/sentry-miniapp-sdk
# Cursor / Aider / Gemini CLI 等
# 按各工具文档，把 .agents/skills/sentry-miniapp-sdk 放到对应 skill 目录即可
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.
- today Changed · +2 tokens per session a16fcad74141
- 10d ago First seen · 70 lines · 1,344 tokens per session scan A bdf858ebd895
sentry-miniapp AGENTS.md is an instructions file published in the GitHub repository lizhiyao/sentry-miniapp (682 stars, last pushed today), licensed MIT. It adds 1,346 tokens to every session, about $0.0067 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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.