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在 OpenClaw 中安装
/install text-cleaner-lite
功能描述
Normalize whitespace, remove duplicated blank lines, and trim leading/trailing spaces from text input.
安全使用建议
This package appears to be a stub/placeholder rather than a working text-cleaner. If you need a text-normalization skill, do not rely on this in production until the author provides code that actually performs the described transformations. Before installing or invoking: (1) request the full source or a link to a repository showing the implementation, (2) verify main.py reads input and outputs cleaned_text (not just metadata), (3) confirm version consistency (registry metadata says 1.0.0 but skill.json lists 0.1.0) and fix unresolved template text in SKILL.md, and (4) run the code in a safe, isolated environment to validate behavior. The current footprint is low-risk but functionally misleading.
功能分析
Type: OpenClaw Skill
Name: text-cleaner-lite
Version: 1.0.0
The skill is a non-functional placeholder or template that echoes input parameters in a JSON response instead of performing the text normalization described in SKILL.md. While SKILL.md contains unusual templating syntax (resembling PowerShell object notation) in the Risk Statement, and main.py lacks the actual logic to clean text, there are no indicators of malicious intent, data exfiltration, or high-risk behaviors.
能力评估
Purpose & Capability
The skill name/description say it normalizes whitespace and trims text, but main.py does not implement any text processing: it only prints a JSON object echoing the provided --input and --mode. The declared outputs (cleaned_text) are not produced. This is a direct mismatch between claimed capability and actual code.
Instruction Scope
SKILL.md instructs running 'python main.py --input sample.txt --mode clean' implying the tool will read/process a file or input text. main.py treats --input as a string or path but does not read files or perform cleaning. The SKILL.md also contains a templated risk statement (looks like an unresolved template) and a minor formatting artifact in the usage example ('\b ash'), indicating sloppy packaging. Instructions therefore over-promise relative to runtime behavior.
Install Mechanism
No install spec and no third-party dependencies; the skill is instruction-only with a single small Python file using only argparse and json. There are no downloads or install steps that add risk.
Credentials
The skill requests no environment variables, no credentials, and no config paths. There is no evidence of requests for unrelated secrets or excessive permissions.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system settings, and has no install-time persistence. Autonomous invocation defaults are unchanged (normal).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install text-cleaner-lite - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-cleaner-lite触发 - 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
text-cleaner-lite 1.0.0
- Initial release.
- Normalizes whitespace in input text.
- Removes duplicated blank lines.
- Trims leading and trailing spaces.
- Supports optional parameter to keep newlines.
- Designed for safe, general-purpose text cleanup.
元数据
常见问题
text-cleaner-lite 是什么？
Normalize whitespace, remove duplicated blank lines, and trim leading/trailing spaces from text input. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 text-cleaner-lite？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-cleaner-lite」即可一键安装，无需额外配置。
text-cleaner-lite 是免费的吗？
是的，text-cleaner-lite 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
text-cleaner-lite 支持哪些平台？
text-cleaner-lite 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 text-cleaner-lite？
由 askjda（@askjda）开发并维护，当前版本 v1.0.0。
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