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Resume Optimizer

v0.1.0

This skill should be used when the user needs to optimize their resume. It provides a comprehensive workflow for parsing PDF resumes, analyzing issues, optim...

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by@xiu215
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description (resume optimization) match the instructions and included reference materials (ATS keywords, strong verbs, templates). The requested operations (parse PDF, analyze, rewrite) are appropriate for the stated purpose; no unrelated credentials, binaries, or config paths are requested.
✓
Instruction Scope
SKILL.md stays on-topic: it instructs extracting text from an uploaded PDF, analyzing resume quality, producing structured edits and a final resume. It does not instruct reading unrelated system files, accessing external endpoints, or exfiltrating data. It does rely on the agent/runtime having PDF extraction capability (implicit), which is expected for this skill's function.
✓
Install Mechanism
No install spec or code files are present; this is an instruction-only skill. Nothing is written to disk or downloaded by the skill itself, which minimizes install risk.
✓
Credentials
The skill declares no environment variables, credentials, or config paths. All references used are included in the skill bundle. There are no disproportionate secret/credential requests.
✓
Persistence & Privilege
The skill is not marked always:true and does not request persistent system-level privileges or modify other skills. Autonomous invocation is allowed by default but is not excessive here given the skill's benign nature.
Assessment
This skill appears coherent and appropriate for optimizing resumes. Before installing, confirm how you'll provide PDFs (upload mechanism and storage policy) because the skill must read the resume you supply. Avoid uploading sensitive data beyond standard resume content. Note that the skill explicitly forbids fabricating experiences but allows reasonable, non-specific phrasing when exact numbers are unavailable — review outputs to ensure any quantitative phrasing matches your facts. Finally, if your runtime lacks PDF parsing, the skill may fail or the agent will need a helper tool to extract text; test with a non-sensitive sample first.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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