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skill-portability-checker技能可移植性检查器

Agent Skill

skill-portability-checker 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

318

周安装

13

GitHub Stars

58

下载量

103
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-portability-checker(技能可移植性检查器)
来源仓库:https://github.com/archieindian/openclaw-superpowers
仓库路径:skills/skill-portability-checker
安装命令:
npx skills add https://github.com/archieindian/openclaw-superpowers --skill skill-portability-checker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/archieindian/openclaw-superpowers --skill skill-portability-checker

简介

skill-portability-checker 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 安装方式:github,使用 npx skills add 命令添加。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Skill Portability Checker

What it does

Skills with companion scripts (.py, .sh) can silently fail on machines where their dependencies aren't installed. A skill written on macOS may call brew, pbcopy, or use /usr/local/bin paths that don't exist on Linux. A Python script may import pandas on a system without it.

Skill Portability Checker:

  1. Scans companion scripts for OS-specific patterns and external binary calls
  2. Checks whether those binaries are present on the current system (PATH lookup + which)
  3. Cross-checks against the skill's declared os_filter: frontmatter field (if any)
  4. Reports portability issues before the skill fails at runtime

Frontmatter field checked

---
name: my-skill
os_filter: [macos]   # optional: ["macos", "linux", "windows"]
---

If os_filter: is absent the skill is treated as cross-platform. The checker then warns if OS-specific calls are detected without a corresponding os_filter:.

Checks performed

CheckDescription
OS_SPECIFIC_CALLScript calls macOS/Linux/Windows-only binary without os_filter:
MISSING_BINARYRequired binary not found on current system PATH
BREW_ONLYScript uses brew (macOS-only) but os_filter: includes non-macOS
PYTHON_IMPORTScript imports a non-stdlib module; checks if importable
HARDCODED_PATHAbsolute path that doesn't exist on this machine (/usr/local, C:\)

How to use

python3 check.py --check                   # Full portability scan
python3 check.py --check --skill my-skill  # Single skill
python3 check.py --fix-hints my-skill      # Print fix suggestions
python3 check.py --format json

Procedure

Step 1 — Run the scan

python3 check.py --check

Step 2 — Triage FAILs first

  • MISSING_BINARY: The script calls a binary that isn't installed. Either install it or add a graceful fallback in the script.
  • OS_SPECIFIC_CALL without os_filter: Add os_filter: [macos] (or whichever OS applies) to the frontmatter so users on other platforms know the skill won't work.

Step 3 — Review WARNs

  • PYTHON_IMPORT: Install the missing module or add a try/except ImportError with a graceful degradation path (like HAS_MODULE = False).
  • HARDCODED_PATH: Replace with Path.home() or environment-variable-based paths.

Step 4 — Add os_filter when needed

If a skill genuinely only works on one OS, declare it:

os_filter: [macos]

This prevents the skill from being shown as broken on other platforms — it simply won't be loaded there.

Output example

Skill Portability Report — linux (Python 3.11)
────────────────────────────────────────────────
32 skills checked | 1 FAIL | 2 WARN

FAIL  obsidian-sync: MISSING_BINARY
      sync.py calls `osascript` — not found on this system
      Fix: add os_filter: [macos] to frontmatter (osascript is macOS-only)

WARN  morning-briefing: PYTHON_IMPORT
      run.py imports `pync` — not importable on this system
      Fix: wrap in try/except ImportError and degrade gracefully

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.81%
按下载量换算39

Claude

31.65%
按下载量换算33

Cursor

17.82%
按下载量换算18

Gemini CLI

9.84%
按下载量换算10

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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