← 返回 Skills 市场
inksnowhailong

tvs-clean-code

作者 inksnowhailong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
173
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tvs-clean-code
功能描述
代码清洁与整理,并添加增强用户理解的注释,让代码意图清晰、自解释,大幅降低阅读和维护的认知成本。
安全使用建议
This skill is a pure guideline for cleaning and commenting code and does not request credentials or install software. Before using it: only provide the code you are comfortable sharing (do not include secrets, credentials, or private keys in files you send), keep a backup or use version control so you can review/apply diffs safely, run your tests after applying changes, and review generated diffs/comments to ensure they match your intent.
功能分析
Type: OpenClaw Skill Name: tvs-clean-code Version: 1.0.0 The skill bundle 'tvs-clean-code' is a set of instructions for an AI agent to perform code refactoring and cleanup. It focuses on improving code readability, naming conventions, and documentation (SKILL.md). There are no indicators of malicious intent, data exfiltration, or unauthorized command execution; the instructions are entirely consistent with the stated purpose of a code-cleaning utility.
能力评估
Purpose & Capability
Name/description (code cleanup, add clarifying comments) match the SKILL.md instructions. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions describe coding heuristics and request the agent to ask the user for file paths when not provided. They do not instruct reading unrelated system files, accessing secrets, or sending data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill. This is the lowest-risk install profile.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested access is limited to code the user explicitly supplies or points to.
Persistence & Privilege
always is false and the skill does not request persistent/privileged system presence or modification of other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install tvs-clean-code
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tvs-clean-code 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
tv-clean-code 1.0.0 初始版本发布 - 提供代码清洁与整理规范,聚焦降低阅读和维护的认知成本 - 明确四大最高优先级原则,包括减少冗余、集中业务逻辑、优化命名与补充关键注释 - 提出结构优化建议(如函数分拆、魔法值提取、早返回等) - 包含输出格式建议,便于用户清晰了解代码清理的改动 - 主动引导用户指定待清理的代码范围
元数据
Slug tvs-clean-code
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

tvs-clean-code 是什么?

代码清洁与整理,并添加增强用户理解的注释,让代码意图清晰、自解释,大幅降低阅读和维护的认知成本。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 173 次。

如何安装 tvs-clean-code?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install tvs-clean-code」即可一键安装,无需额外配置。

tvs-clean-code 是免费的吗?

是的,tvs-clean-code 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

tvs-clean-code 支持哪些平台?

tvs-clean-code 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 tvs-clean-code?

由 inksnowhailong(@inksnowhailong)开发并维护,当前版本 v1.0.0。

💬 留言讨论