Borrowing it
Nothing to install: this file belongs to yecllsl/trae-agent-skills. 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/yecllsl/trae-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/yecllsl/trae-agent-skillsWrote 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/yecllsl/trae-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/yecllsl/trae-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/yecllsl/trae-agent-skills/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 | $0.02152 | $0.02152 |
| Opus 5 | $0.01076 | $0.01076 |
| Sonnet 5 | $0.00430 | $0.00430 |
| Haiku 4.5 | $0.00215 | $0.00215 |
Grade A, and why
trae-agent-skills 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Trae 生产级工程技能
本项目是一套适用于 TRAE AI coding Agent 的生产级工程技能。这些技能规范了软件构建过程中高级工程师所使用的流程、质量控制标准以及最佳实践，并被整合到 Agent 中，以便其在开发的每个阶段都能一致地遵循这些规范。
具体落地为：将软件工程六阶段（需求、设计、开发、测试、部署、维护）封装为可执行流水线，由 Coordinator 编排专业 Subagent 协作完成，全程质量门控。
项目定位
| 维度 | 说明 |
|---|---|
| 目标 | 为 TRAE AI coding Agent 提供生产级工程技能，使其在每个开发阶段一致遵循高级工程师的流程、质量控制标准与最佳实践 |
| 核心产物 | 工程技能规范（流程 + 质量标准 + 最佳实践）+ 角色体系 + 全流程工作流 + 质量门控 + 快捷命令 |
| 整合方式 | 规范整合到 Agent 定义与 Skill 中，由 Agent 在各阶段一致执行 |
| 适用环境 | Trae CN IDE（SOLO Agent 模式） |
Repo structure
.trae/ # 工程技能体系（核心内容）
├── agents/ # 智能体定义（YECL 5 角色）
│ ├── YECL-architect.md # 架构师（最强模型，不编辑代码）
│ ├── YECL-dev.md # 开发工程师（TDD 实现）
│ ├── YECL-po.md # 产品经理（需求收集+PRD）
│ ├── YECL-qa.md # 测试工程师（Playwright 优先）
│ └── YECL-review.md # 代码审查（不修改代码）
├── commands/ # 快捷命令（6 阶段 + 1 组合）
│ ├── YECL-requirements.md # 阶段1：需求分析（含仓库扫描）
│ ├── YECL-design.md # 阶段2：设计（架构+Sprint 规划）
│ ├── YECL-development.md # 阶段3：开发（TDD+Review）
│ ├── YECL-testing.md # 阶段4：测试（QA+回归）
│ ├── YECL-deployment.md # 阶段5：部署（版本+CI+Tag）
│ ├── YECL-maintenance.md # 阶段6：维护（调试+修复）
│ └── YECL-pipeline.md # 组合命令：编排阶段 1-5
├── skills/ # 方法论 Skill（14 个，Superpowers 框架）
│ ├── brainstorming/ # 需求/方案探索
│ ├── writing-plans/ # 实施计划编写
│ ├── test-driven-development/ # TDD 铁律
│ ├── systematic-debugging/ # 根因定位四阶段
│ ├── subagent-driven-development/# 逐任务派发+Review
│ ├── dispatching-parallel-agents/# 并行任务派发
│ ├── executing-plans/ # 计划执行
│ ├── requesting-code-review/ # 代码审查请求
│ ├── receiving-code-review/ # 审查反馈处理
│ ├── verification-before-completion/ # 完成前强制验证
│ ├── using-git-worktrees/ # 工作区隔离
│ ├── finishing-a-development-branch/ # 分支完成与合并
│ ├── writing-skills/ # Skill 编写规范
│ └── using-superpowers/ # Skill 发现与使用
├── 开发流程规范.md # 统一流程手册（六阶段+门控+异常处理）
└── skill-config.json # Skill 配置
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 · 123 lines · 2,152 tokens per session scan A 47b97501cb1f
trae-agent-skills AGENTS.md is an instructions file published in the GitHub repository yecllsl/trae-agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 2,152 tokens to every session, about $0.0108 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 2026-08-31.
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.