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Skill Creator (Ming)

作者 wm-zqbx · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
142
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install skill-creator-ming
功能描述
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize a...
安全使用建议
This package appears coherent for creating and evaluating skills. Before running scripts (especially eval-viewer/generate_review.py): - Inspect the workspace you point the tools at. The viewer will recursively read most files under the workspace and embed them into a self-contained HTML page (including binaries via base64). Don't point it at a directory containing secrets you don't want embedded/served. - The viewer script attempts to free a chosen port by calling lsof and sending SIGTERM to process IDs it finds; on multi-user or production systems this may have side effects. Run in a dev/isolated environment rather than as root. - Review the included scripts for any subprocess calls you are uncomfortable with; they currently use standard stdlib modules (subprocess, webbrowser, http.server) but may invoke local commands (e.g., lsof). - If you plan to share the generated HTML, be aware it contains embedded data from the workspace; sanitize or remove sensitive files first. If you want a deeper check, provide the full contents of the remaining omitted files (run_eval.py, run_loop.py, package_skill.py, etc.) and I can look for network calls, credential usage, or other unexpected behaviours.
功能分析
Type: OpenClaw Skill Name: skill-creator-ming Version: 1.0.0 The skill bundle is a comprehensive developer toolset designed to help users create, test, and optimize other OpenClaw skills. It contains Python scripts for benchmarking (aggregate_benchmark.py), packaging skills (package_skill.py), and an iterative loop for optimizing skill descriptions using the 'claude' CLI (run_loop.py). It includes a local evaluation viewer (generate_review.py) that starts a temporary local HTTP server on 127.0.0.1 to allow users to review test results. All behaviors, including local process management and subagent orchestration, are well-documented and strictly aligned with the stated purpose of skill development and performance measurement.
能力评估
Purpose & Capability
The name and description ('Skill Creator') match the included assets: SKILL.md describes creating/editing/evaluating skills and the repository includes scripts for packaging, running evaluations, generating reports, and an eval viewer. There are no unrelated required env vars, binaries, or external credentials that would be incoherent with the stated purpose.
Instruction Scope
SKILL.md instructs the agent to run evaluations, use bundled scripts (e.g., eval-viewer/generate_review.py), read skill files, transcripts, outputs and generate reports — all expected for a skill-authoring/eval workflow. Note: generate_review.py (and other agents' docs) explicitly read workspace directories and embed output files into an HTML page; running that script will enumerate and read files under the workspace (including binaries which are base64-embedded) and will write feedback.json. This behavior is consistent with the tool's purpose but means the script can expose any files present in the workspace if you host/serve the generated page.
Install Mechanism
No install spec or remote downloads are present; this is an instruction-and-scripts package that uses only local Python scripts and the stdlib. That is proportionate for the stated functionality and is lower risk than arbitrary remote installers.
Credentials
The skill declares no required environment variables, credentials, or config paths. The runtime instructions reference reading conversation history, local skill files, transcripts, and outputs — all appropriate for a skill-authoring/eval utility. There are no demands for unrelated secrets or cloud credentials.
Persistence & Privilege
always:false and no modifications to other skills or system-wide agent config are requested. The scripts write feedback.json and generate local HTML artifacts, which is normal for evaluation tooling. The skill does not request permanent platform-level privileges.
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 skill-creator-ming
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /skill-creator-ming 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
Skill creator from OpenCode project
元数据
Slug skill-creator-ming
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

Skill Creator (Ming) 是什么?

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 142 次。

如何安装 Skill Creator (Ming)?

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

Skill Creator (Ming) 是免费的吗?

是的,Skill Creator (Ming) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Skill Creator (Ming) 支持哪些平台?

Skill Creator (Ming) 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 Skill Creator (Ming)?

由 wm-zqbx(@wm-zqbx)开发并维护,当前版本 v1.0.0。

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