Analyze repository code to answer user questions with evidence and confidence scores.
npx skills add https://github.com/prthik/prathik-astro --skill analyze-prthik
Please help me install this Agent Skill. Skill: analyze Source: https://github.com/prthik/prathik-astro/tree/main/.codex/skills/analyze Command: npx skills add https://github.com/prthik/prathik-astro --skill analyze-prthik
Read-only, evidence-driven analysis of the repository to explain what the codebase implies about a user question.
Run the analyze skill to produce a ranked, evidence-based synthesis with file references and explicit confidence.
High-intent search queries and answers about installing and using this skill.
You can trace behavior across modules safely using read-only code analysis. This approach examines the repository to explain what the codebase implies about your question without altering any files.
Evidence-driven codebase analysis is a method that separates verified code evidence from inferred conclusions. It generates a ranked synthesis with explicit confidence scoring and file references to support reliable decision-making.
Perform a read-only impact assessment to trace behavior across modules. This provides an architecture overview and causality insights, helping you understand implications before making any changes.
Yes, cross-file code explanations can include explicit confidence scores. The analysis distinguishes direct evidence from inference, providing a ranked synthesis with file references for reliability.
You need evidence-vs-inference separation when requiring reliable architecture insights or causality assessments. This distinction ensures your decision-making is based on verified codebase evidence rather than assumptions.
Read-only code analysis applies bounded, discriminating exploration to navigate large codebases. It traces behavior across modules to produce a ranked synthesis with file references and explicit confidence.
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