job-fit-analysis

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Audited by Socket on Mar 1, 2026

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SKILL.md

Among the three, Report 1 is the strongest foundation due to its explicit data model, concrete field names, and practical example mapping. It should be treated as the baseline for improvement. Improved output should enforce consistent field naming, explicit versioning, and a concrete mapping from observed gap analysis to the final JSON artifact, with robust handling of placeholder tokens and user-confirmed reframing data.

Confidence: 98%
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Analyzed At
Mar 1, 2026, 01:10 AM
Package URL
pkg:socket/skills-sh/ajbcoding%2Fclaude-skill-eval%2Fjob-fit-analysis%2F@daf0f965d666a3c97a50f6585a5e479773ae9da8