agent-portability-checker
by Rian O'Leary
Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.
- Detect and fix hardcoded platform-specific file paths
- Add XDG-compliant fallback paths for configuration storage
- Strip platform-identifying strings from HTTP User-Agent headers
Free
One-time purchase
Included in download
- Downloadable skill package
- Works with Fully compatible across all agents
- 3 permissions declared
Sample Output
A real example of what this skill produces.
AUDIT REPORT: github-growth-tracker ❌ scripts/tracker.py:28: Hardcoded ~/.clawhub/ path found. ✅ Auto-fixed: Replaced with $SKILL_DATA_DIR. ⚠️ Warning: Script uses 'gh' CLI; ensure target agent has GitHub CLI installed. 🔧 XDG Fallback: Added ~/.config/tracker/ support.
agent-portability-checker
by Rian O'Leary
Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.
Free
One-time purchase
Included in download
- Downloadable skill package
- Works with Fully compatible across all agents
- 3 permissions declared
- Instant install
Sample Output
A real example of what this skill produces.
AUDIT REPORT: github-growth-tracker ❌ scripts/tracker.py:28: Hardcoded ~/.clawhub/ path found. ✅ Auto-fixed: Replaced with $SKILL_DATA_DIR. ⚠️ Warning: Script uses 'gh' CLI; ensure target agent has GitHub CLI installed. 🔧 XDG Fallback: Added ~/.config/tracker/ support.
About This Skill
What it does
The Agent Portability Checker is a developer tool designed to audit agent skills for platform lock-in. It scans your codebase for hardcoded paths, platform-specific dependencies, and rigid environmental assumptions that prevent your skills from running across different agent environments like Claude Code, OpenClaw, or Codex.
Why use this skill
Building skills that only work on one platform limits your reach and creates technical debt. This skill automates the tedious process of finding and fixing "platform leaks." It's significantly more reliable than manual prompting because it follows a rigorous 8-point checklist—including XDG fallback standards and headless OAuth compliance—that generic AI models often overlook.
Supported tools
- Standard Python-based agent skills
- XDG Base Directory Specification compliance
- Cross-platform path resolution (os.path/pathlib)
- Multi-channel formatting (Slack, Discord, WhatsApp)
What the output looks like
The skill provides a structured audit report flagging specific line numbers for hardcoded paths, missing environment variable support, and platform-specific CLI dependencies. When in 'fix' mode, it automatically refactors paths to use dynamic environment variables like $SKILL_DATA_DIR.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Detect and fix hardcoded platform-specific file paths
- Add XDG-compliant fallback paths for configuration storage
- Strip platform-identifying strings from HTTP User-Agent headers
- Develop skills for use in any agent
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-portability-checker | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
File Scopes
Fully compatible across all agents
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
subagent-orchestrator (Develop based on the Claude Code sourcemap)
Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.
software-architect
A structured framework for planning, reviewing, and evolving complex software systems with explicit trade-offs.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
consumer-motivation-analyzer
Go beyond surface-level feedback to uncover the psychological drivers and hidden motivations behind buyer behavior.