Resume Project Analyzer

Transforms project experience into industrial-strength resume bullets with architectural depth. Use this skill whenever the user wants to write resume conten...

What to consider before installing: - Source verification: This repository contains many skill folders and files. Only install if you trust the source (the registry shows 'unknown' source/homepage). Prefer installing from a verified repo URL that you can inspect. - Local reads/writes: The skill will read ~/.claude/resume-library.md, .git/config, and run git commands that surface commit author emails and repo remotes. That can expose personal email addresses, repo origins, and other PII. If you don't want that data read or stored, do not allow the skill to scan code repositories. - Persistent storage: The skill automatically appends results to ~/.claude/resume-library.md. If you install it, check that file to see what it stores; consider backing it up, review contents regularly, or remove/clear it if you don't want persistent records. - Usage options: Prefer using the paste/text mode (Mode B) rather than allowing automatic repo scans if you want to avoid exposing repo metadata. If you do allow repo scans, run them on sanitized or non-sensitive copies first. - Prompt directives: The skill contains system-style instructions that change agent behavior. This is normal for skills but increases the need to trust the skill. If possible, run the skill in a sandboxed environment first to confirm behavior. - If you need higher assurance: Inspect the SKILL.md and any code files locally before installing; ensure there are no network exfiltration calls or unexpected external endpoints. If you are unsure, do not install or run against private repositories.

Type: OpenClaw Skill Name: resume-project Version: 1.0.3 The skill bundle is a comprehensive collection of developer tools and AI agent instructions designed for document processing (PDF, DOCX, XLSX, PPTX), web application testing, and generative art. The primary skill, 'resume-project', implements a sophisticated workflow for analyzing codebases and project descriptions to generate high-quality resume bullets. While the bundle includes advanced system interactions—such as 'scripts/office/soffice.py' compiling a C shim to bypass socket restrictions in sandboxed environments and 'scripts/with_server.py' using shell execution for dev servers—these actions are technically justified by the bundle's stated purpose of providing robust document conversion and testing capabilities. No evidence of malicious intent, data exfiltration, or unauthorized persistence was found across the extensive set of scripts and instructions.