Borrowing it
Nothing to install: this file belongs to wangqiqi/trae-ai. 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/wangqiqi/trae-ai/master/.trae/skills/readme-generator/SKILL.mdgit clone --depth 1 https://github.com/wangqiqi/trae-aiWrote 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/skills/wangqiqi/trae-ai/readme-generator)<a href="https://agentmods.dev/skills/wangqiqi/trae-ai/readme-generator"><img src="https://agentmods.dev/badge/skills/wangqiqi/trae-ai/readme-generator/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/skills/wangqiqi/trae-ai/readme-generator"><img src="https://agentmods.dev/badge/skills/wangqiqi/trae-ai/readme-generator.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 | $0.00024 | $0.00378 |
| Opus 5.5 | $0.00010 | $0.00151 |
| Sonnet 5.5 | $0.00005 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
readme-generator 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 2mo 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
README 生成器
描述
自动为项目生成美观、专业的 README 文档,包含完整的项目介绍、安装说明、使用指南、贡献指南等内容。
使用场景
- 新建项目时,快速生成基础 README
- 已有项目需要完善或更新文档
- 发布开源项目前,准备规范的项目说明
指令
生成 README 时,你应该:
-
分析项目信息
- 检测项目类型(通过
package.json、requirements.txt等文件) - 了解项目的主要功能和特点
- 识别技术栈和依赖
- 检测项目类型(通过
-
生成标准结构
- 项目标题和简介
- 功能特性列表
- 安装和配置说明
- 使用示例和指南
- 贡献指南(可选)
- 许可证信息(可选)
-
优化内容
- 使用清晰、易懂的语言
- 提供具体的使用示例
- 根据项目特点调整内容侧重点
示例
输出的 README 结构
# 项目名称
> 项目简短描述
## ✨ 功能特性
- 功能 1
- 功能 2
- 功能 3
## 🚀 快速开始
### 安装
```bash
# 安装依赖
npm install
使用
// 使用示例
📖 文档
🤝 贡献指南
📄 许可证
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.
- 2mo ago First seen · 70 lines · 24 tokens per session scan A 7294fd4091a9
readme-generator is a skill published in the GitHub repository wangqiqi/trae-ai (25 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 378 once invoked, about $0.0001 per session on Opus 5.5. 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.
readme-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| readme-generatorwangqiqi/trae-ai | Skill | 25 | 4mo ago | MIT | A | 24 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |