OPC Landing Page Manager

Landing page strategy, copywriting, design, and code generation for solo entrepreneurs. From product idea to a complete, self-contained, conversion-optimized...

This skill appears to do what it claims (strategy, copy, templates, and generation of self-contained HTML) and has no declared credentials or install steps — good. However: 1) Two Python scripts are bundled (page_audit.py and project_tracker.py) but their source was not shown in the preview; inspect those files before running to ensure they do not make network calls, execute arbitrary subprocesses, or exfiltrate data. 2) The skill will read and write local project files (landing-pages/ and INDEX.json) — review/confirm the exact paths and back up any important data before using. 3) The README mentions cross-skill integration; ask the author how that works (does it read other skills' local files, call an internal API, or require credentials?). 4) If you plan to give it file paths to review, avoid pointing it to sensitive system files; prefer pasting HTML or using copies. Recommended steps: inspect the two Python scripts for network/socket usage and subprocess calls (grep for requests, urllib, socket, subprocess, os.system, exec), run the skill in a sandboxed environment first, and verify what files it creates/overwrites. If you want higher assurance, request the full content of the scripts and an explanation of any cross-skill data access before installing. If you provide those scripts' contents, I can re-evaluate with higher confidence.

Type: OpenClaw Skill Name: opc-landing-page-manager Version: 1.0.0 The opc-landing-page-manager skill bundle is a well-structured tool for generating landing pages. The SKILL.md instructions define a clear, multi-phase workflow (Strategy, Copy, Design, Build) with built-in compliance checks for privacy and terms of service. The included Python scripts (page_audit.py and project_tracker.py) use only standard libraries to perform local file analysis and project indexing without any network activity or dangerous execution patterns. No evidence of data exfiltration, malicious prompt injection, or unauthorized persistence was found.