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Image Labeler

作者 bytesagain-lab · GitHub ↗ · v2.0.3 · MIT-0
cross-platform ✓ 安全检测通过
216
总下载
0
收藏
2
当前安装
4
版本数
在 OpenClaw 中安装
/install image-labeler
功能描述
Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Image Labeler concepts, best practices, and implementation patterns.
使用说明 (SKILL.md)

Image Labeler

Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Image Labeler concepts, best practices, and implementation patterns. No API keys or credentials required.

Commands

Command Description
intro intro reference
quickstart quickstart reference
patterns patterns reference
debugging debugging reference
performance performance reference
security security reference
migration migration reference
cheatsheet cheatsheet reference

Output Format

All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access.


Powered by BytesAgain | bytesagain.com | [email protected]

安全使用建议
This skill appears to be a small, self-contained reference tool (prints documentation text). Things to note before installing: 1) The included script is read-only and performs no network or credential access; 2) There is a minor inconsistency: SKILL.md lists version 2.0.3 while the script sets VERSION=2.0.2 and the help heredoc is written in a way that will print the literal $VERSION (a cosmetic bug, not a security issue); 3) As with any third-party code, review the repo/homepage if you need higher assurance and run it in a sandbox if you’re uncomfortable. Otherwise it is coherent with its stated purpose.
功能分析
Type: OpenClaw Skill Name: image-labeler Version: 2.0.3 The 'image-labeler' skill is a static documentation reference tool. All commands in 'scripts/script.sh' simply output plain-text documentation using heredocs, and the 'SKILL.md' contains no instructions that would trigger unauthorized actions or prompt injection. There are no network calls, file system modifications, or attempts to access sensitive data.
能力评估
Purpose & Capability
Name/description (reference documentation for an Image Labeler) align with the included files and runtime behavior. The skill contains only static text output and a small helper script that prints heredocs; nothing required appears out of scope.
Instruction Scope
SKILL.md promises plain-text reference outputs with no external calls or credentials. The included bash script only prints local documentation via heredocs and has no commands that read arbitrary files, call external services, or access environment variables beyond shell defaults.
Install Mechanism
There is no install spec; the skill is instruction-only plus a local script. No downloads, package installs, or extract steps are present.
Credentials
The skill declares no required environment variables, credentials, or config paths, and the code does not reference any. No secret access is requested or implied.
Persistence & Privilege
always is false and the skill does not request any elevated persistence or modify other skills or system settings. It is user-invocable and behaves as a passive reference tool.
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 image-labeler
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-labeler 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
v2.0.3
Fix description
v2.0.2
Clean package with matching SKILL.md
v2.0.1
clean-package-fix
v2.0.0
publish v2.0.0
元数据
Slug image-labeler
版本 2.0.3
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 4
常见问题

Image Labeler 是什么?

Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Image Labeler concepts, best practices, and implementation patterns. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 216 次。

如何安装 Image Labeler?

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

Image Labeler 是免费的吗?

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

Image Labeler 支持哪些平台?

Image Labeler 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 Image Labeler?

由 bytesagain-lab(@bytesagain-lab)开发并维护,当前版本 v2.0.3。

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