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/full-stack-skills/agent-skills/code-generatornpx skills add full-stack-skills/agent-skills --skill code-generatorgit clone --depth 1 https://github.com/full-stack-skills/agent-skillsWhat 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 | $0.00049 | $0.00923 |
| Opus 5 | $0.00024 | $0.00462 |
| Sonnet 5 | $0.00010 | $0.00185 |
| Haiku 4.5 | $0.00005 | $0.00092 |
Grade A, and why
code-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 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
代码生成技能
概述
本技能帮助您生成高质量的代码，支持多种编程语言，遵循最佳实践和设计模式。
关键词: 代码生成、编程、函数、类、模块、项目开发、代码示例
核心功能
1. 函数和类生成
- 生成符合规范的函数和类
- 添加完整的文档注释
- 实现错误处理和边界检查
- 遵循语言特定的最佳实践
2. 模块和包开发
- 创建结构化的模块和包
- 设计清晰的 API 接口
- 实现模块间的依赖管理
- 创建配置文件和初始化代码
3. 项目脚手架
- 生成完整的项目结构
- 创建配置文件（package.json, requirements.txt 等）
- 设置构建和测试环境
- 添加 README 和文档
4. 代码优化和重构
- 优化代码性能和可读性
- 应用设计模式和最佳实践
- 重构代码结构
- 添加单元测试
使用指南
代码生成原则
- 清晰性: 代码应清晰易懂，命名规范
- 可维护性: 结构良好，易于修改和扩展
- 健壮性: 包含错误处理和边界检查
- 文档化: 提供完整的注释和文档
- 测试性: 代码应易于测试
支持的编程语言
- Python
- JavaScript/TypeScript
- Java
- Go
- Rust
- 其他常见编程语言
代码结构要求
- 导入部分: 清晰的导入语句
- 文档字符串: 函数和类的文档
- 实现代码: 核心逻辑实现
- 测试代码: 单元测试（如需要）
- 示例代码: 使用示例（如需要）
输出格式
生成的代码应包含：
- 代码文件: 完整的源代码文件
- 文档注释: 函数、类、模块的文档
- 使用示例: 代码使用示例
- 依赖说明: 所需的依赖和版本
- 测试代码: 相关的测试用例
最佳实践
- 遵循语言的编码规范和风格指南
- 使用有意义的变量和函数名
- 添加类型提示（如适用）
- 实现适当的错误处理
- 编写清晰的文档注释
- 考虑性能和可扩展性
- 遵循 SOLID 原则和设计模式
常见陷阱 (Gotchas)
- 版本兼容性：注意框架版本与依赖库的兼容性，不同版本 API 可能有差异
- 配置文件格式：配置文件格式错误是最常见的问题，建议使用编辑器的语法检查
- 环境变量：确保所有必要的环境变量已正确设置，敏感信息不要硬编码
- 依赖冲突：多版本共存时注意依赖冲突，使用 lock 文件锁定版本
- 性能陷阱：大数据量场景下注意性能优化，避免 N+1 查询等常见问题
使用流程
Step 1: 环境准备
确保开发环境已安装必要的依赖和工具。
Step 2: 配置初始化
根据项目需求进行基础配置。
Step 3: 核心功能使用
按照示例代码实现核心功能。
Step 4: 测试验证
运行测试确保功能正常。
Step 5: 部署上线
完成开发后进行部署和监控。
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 · 115 lines · 49 tokens per session scan A 063481f4ac6b
code-generator is a skill published in the GitHub repository full-stack-skills/agent-skills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 923 once invoked, about $0.0002 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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auto-perf-optimize
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chat-perf
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cpu-profile-analysis
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