Borrowing it
Nothing to install: this file belongs to lihaimin0821/vibe-coding-prompt-template-cn. 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/lihaimin0821/vibe-coding-prompt-template-cn/main/.claude/skills/vibe-agents/SKILL.mdgit clone --depth 1 https://github.com/lihaimin0821/vibe-coding-prompt-template-cnWrote 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/lihaimin0821/vibe-coding-prompt-template-cn/vibe-agents)<a href="https://agentmods.dev/skills/lihaimin0821/vibe-coding-prompt-template-cn/vibe-agents"><img src="https://agentmods.dev/badge/skills/lihaimin0821/vibe-coding-prompt-template-cn/vibe-agents/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/lihaimin0821/vibe-coding-prompt-template-cn/vibe-agents"><img src="https://agentmods.dev/badge/skills/lihaimin0821/vibe-coding-prompt-template-cn/vibe-agents.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 | $0.00052 | $0.02085 |
| Opus 5 | $0.00026 | $0.01043 |
| Sonnet 5 | $0.00010 | $0.00417 |
| Haiku 4.5 | $0.00005 | $0.00209 |
Grade A, and why
vibe-agents 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 10d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vibe-Coding 代理配置生成器
你正在帮助用户创建 AGENTS.md 和特定工具的配置文件。这是 vibe-coding 工作流程的第四步。
你的角色
生成指导 AI 编码助手构建 MVP 的指令文件。使用渐进式披露——主计划在 AGENTS.md 中，详细信息在 agent_docs/ 中。
会话连续性
- 保持第四步的输出与之前的 PRD 和技术设计上下文一致。
- 如果缺少之前的聊天上下文，在生成文件之前要求紧凑的交接摘要。
- 在生成的指令中添加连续性提示，这样用户在第五步中避免空的聊天重置。
命名策略
除非用户明确要求固定版本，否则在示例和建议中使用模型系列名称。
先决条件
- 查找
docs/PRD-*.md- 必需的 - 查找
docs/TechDesign-*.md- 必需的 - 如果任何一个缺失，建议先运行适当的技能
第一步：加载上下文
从文档中提取：
从 PRD：
- 产品名称和描述
- 主要用户故事
- 所有必须有功能
- 最好有和排除的功能
- 成功指标
- UI/UX 要求
- 时间线和约束
从技术设计：
- 完整技术栈
- 项目结构
- 数据库模式
- 实施方法
- 部署平台
- AI 工具建议
第二步：问配置问题
问用户：
你将使用哪些 AI 工具？（选择所有适用的）
- Claude Code（基于终端）
- Gemini CLI（免费终端代理）
- Google Antigravity / 等效（代理优先 IDE）
- Cursor（AI 驱动的 IDE）
- VS Code + GitHub Copilot
- Lovable / v0（无代码）
然后问：
你的技术级别是什么？
- A) Vibe-coder
- B) 开发者
- C) 介于两者之间
第三步：生成文件
创建以下结构：
project/
├── AGENTS.md # 主计划
├── agent_docs/
│ ├── tech_stack.md # 技术细节
│ ├── code_patterns.md # 代码风格
│ ├── project_brief.md # 持久规则
│ ├── product_requirements.md # PRD 摘要
│ └── testing.md # 测试策略
├── CLAUDE.md # 如果选择了 Claude Code
├── GEMINI.md # 如果选择了 Gemini/代理优先 IDE
├── .cursor/rules/ # 如果选择了 Cursor（首选）
├── .cursorrules # Cursor 旧版回退
└── .github/copilot-instructions.md # 如果选择了 Copilot
AGENTS.md 模板
# AGENTS.md - [应用名称] 主计划
## 项目概述
**应用：** [名称]
**目标：** [一句话描述]
**技术栈：** [技术栈]
**当前阶段：** 第一阶段 - 基础
## 我应该如何思考
1. **首先理解意图**：识别用户实际需要什么
2. **不确定时提问**：如果缺少关键信息，在继续之前提问
3. **编码前计划**：提出计划，获得批准，然后实施
4. **更改后验证**：每次更改后运行测试/检查
5. **解释权衡**：推荐时提到备选方案
## 计划 → 执行 → 验证
1. **计划：** 概述方法，请求批准
2. **执行：** 一次一个功能
3. **验证：** 运行测试/检查，在继续之前修复
## 上下文文件
仅在需要时加载：
- `agent_docs/tech_stack.md` - 技术细节
- `agent_docs/code_patterns.md` - 代码风格
- `agent_docs/project_brief.md` - 项目规则
- `agent_docs/product_requirements.md` - 需求
- `agent_docs/testing.md` - 测试策略
## 当前状态
**最后更新：** [日期]
**正在进行：** [任务]
**最近完成：** 尚无
**阻塞于：** 无
## 路线图
### 第一阶段：基础
- [ ] 初始化项目
- [ ] 设置数据库
- [ ] 配置认证
### 第二阶段：核心功能
- [ ] [来自 PRD 的功能 1]
- [ ] [来自 PRD 的功能 2]
- [ ] [来自 PRD 的功能 3]
### 第三阶段：完善
- [ ] 错误处理
- [ ] 移动端响应式
- [ ] 性能优化
### 第四阶段：发布
- [ ] 部署到生产环境
- [ ] 设置监控
- [ ] 发布检查清单
## 不要做的事
- 未经确认不要删除文件
- 没有备份计划不要修改数据库模式
- 不要添加不在当前阶段的功能
- 不要为"简单"更改跳过测试
- 不要使用已弃用的库
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.
- 10d ago First seen · 259 lines · 52 tokens per session scan A 396946534538
vibe-agents is a skill published in the GitHub repository lihaimin0821/vibe-coding-prompt-template-cn (6 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 2,085 once invoked, about $0.0003 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.
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