Analyze repositories to produce evidence-backed explanations with file references and confidence levels.
npx skills add https://github.com/ozby/ingest-lens --skill analyze-ozby
Please help me install this Agent Skill. Skill: analyze Source: https://github.com/ozby/ingest-lens/tree/main/.codex/skills/analyze Command: npx skills add https://github.com/ozby/ingest-lens --skill analyze-ozby
Read-only, evidence-backed explanations of a codebase by analyzing multiple files and returning a ranked synthesis with explicit confidence and clear evidence-vs-inference boundaries.
Ask to analyze the repository to produce a grounded, ranked explanation with file references and clear evidence-vs-inference boundaries.
High-intent search queries and answers about installing and using this skill.
To generate an evidence-backed codebase explanation, analyze the repository across multiple modules and dependencies. The resulting synthesis ranks conclusions by confidence and provides concrete file references to support architectural findings.
Analyzing cross-file impacts requires evaluating behavior causality across modules. This approach produces a ranked synthesis that distinguishes between known facts and interpreted inferences, supported by explicit file-level references.
Yes, you can distinguish evidence from inference. The analysis enforces evidence-vs-inference separation, clearly delineating what is known from what is interpreted and assigning confidence levels to each conclusion.
No, this read-only codebase analysis does not modify your source files. It safely inspects the repository to produce grounded, evidence-backed explanations of behavior and architecture without writing or altering code.
To get confidence-scored conclusions for multi-module dependencies, analyze the repository architecture and behavior. The output provides a ranked synthesis with explicit confidence levels and grounded file references.
You need evidence-vs-inference boundaries when evaluating complex codebases to avoid unsupported assumptions. This process ensures conclusions are grounded with concrete file references and clear confidence levels separating fact from interpretation.
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