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Skill Portability Checker

Community
ArchieIndian
skill-portability-checker

Validates that a skill's companion scripts declare their OS and binary dependencies correctly, and checks whether those dependencies are actually present on the current machine.

Overview

PublisherArchieIndian
Repositoryopenclaw-superpowers
Skill nameskill-portability-checker
Stars
74
Forks
14
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ArchieIndian on GitHub. Read the source before you install it.

Installation

Install the Skill Portability Checker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/skill-portability-checker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/core/skill-portability-checker .claude/skills/skill-portability-checker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Portability Checker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Portability Checker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Portability Checker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

yaml
---
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

bash
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

bash
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:

yaml
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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Portability Checker AI skill do?

Validates that a skill's companion scripts declare their OS and binary dependencies correctly, and checks whether those dependencies are actually present on the current machine.

Why use Skill Portability Checker on TypingMind?

Because you install it once and use it with any model. Skill Portability Checker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Portability Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/skill-portability-checker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Portability Checker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Portability Checker?

As many as you like. As long as a model supports skills, you can use Skill Portability Checker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Portability Checker AI skill free?

It is published on GitHub by ArchieIndian. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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