Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/weiyi88/cc-code/project_resumenpx skills add weiyi88/cc-code --skill project_resumegit clone --depth 1 https://github.com/weiyi88/cc-codeWhat 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 | $0.00065 | $0.00918 |
| Opus 5 | $0.00032 | $0.00459 |
| Sonnet 5 | $0.00013 | $0.00184 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
project_resume 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 2d 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
项目介绍生成指南
目标
读取当前项目的真实代码和配置，生成一份标准格式的纯文本项目介绍，不捏造、不假设任何技术栈。
步骤
第 1 步：读取项目真实信息
按优先级读取以下文件，提取真实的技术栈和功能：
package.json— 获取所有 dependencies 和 devDependenciesprisma/schema.prisma— 获取数据模型、数据库类型CLAUDE.md或README.md— 获取项目描述和功能说明app/目录结构 — 了解主要功能模块
同时从项目配置中获取：
- 项目域名/URL（从 NEXTAUTH_URL、vercel 配置、或 CLAUDE.md 中提取）
- 项目真实名称（非 package.json 的技术名，而是产品名）
第 2 步：分析提炼
从读取的内容中提炼：
- 项目名：产品名称，用书名号包裹，如《智能办公文档翻译平台》
- 项目 URL：真实域名，如 https://translateagent.app
- 简介：50 字左右，一句话说清楚是什么产品、做什么、核心价值
- 技术栈：从 package.json dependencies 提取核心技术，用顿号或逗号分隔，写在一行
- 项目亮点：5-8 条，每条不超过 30 字，精炼突出技术要点
第 3 步：严格按以下格式输出
纯文本，无任何 markdown 符号（无 #、无 **、无 ```、无多余空行）：
《项目名》URL
简介（50字左右）
技术栈: 技术1、技术2、技术3、技术4...
1.亮点一，不超过30字，突出技术要点 2. 亮点二，不超过30字，突出技术要点 3. 亮点三，不超过30字，突出技术要点 ...
格式参考示例
《智能办公文档翻译平台》https://translateagent.app
一款面向企业和个人的 AI 驱动文档翻译 SaaS 平台，支持 PPTX、DOCX、XLSX、PDF 全格式翻译，完整保留原始文档排版与样式，上传即翻译，下载即可用。
技术栈: Next.js、TypeScript、Tailwind CSS、shadcn/ui、NextAuth v5、Prisma、PostgreSQL、Redis、Trigger.dev、pptxgenjs、docx、Zod、Vercel、Supabase
1.格式零损耗翻译，仅替换文本节点，其他内容格式完整保留 2. 多模型动态切换，集成 OpenAI、Claude、DeepSeek，自由选择模型 3. 自定义术语库，内置倒排索引，保障品牌词翻译一致性 4. 异步任务队列，Trigger.dev 调度，支持优先级、进度追踪、自动重试 5. 完整订阅体系，FREE/PRO/ENTERPRISE 三档，对接 Stripe 支付 6. 邮箱 OTP + GitHub OAuth 双通道登录，NextAuth v5 统一认证 7. 使用量精细统计，记录模型、Token、费用、页数，支持成本管控
注意事项
- 只写真实存在于项目中的技术，绝对不要捏造
- 技术栈写在一行，用顿号分隔，不分类、不换行
- 亮点每条严格不超过 30 字，要精炼，突出具体技术实现
- 输出全程不含任何 markdown 格式符号
- 简介控制在 50 字左右，不超过 80 字
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.
- 2d ago First seen · 76 lines · 65 tokens per session scan A e0ee6e1f1b58
project_resume is a skill published in the GitHub repository weiyi88/cc-code (5 stars, last pushed 7d ago), licensed MIT. It adds 65 tokens to every session and 918 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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