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genpark-stack-trace-symbolic-fault-localizer-skill

mcp
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SUMMARY

GenPark AI Agent Skill - Parses Python stack traces into structured traceback frames, calculates Tarantula/Ochiai line suspiciousness scores, and isolates root-cause bug locations.

README.md

GenPark AI Agent Skill - Stack Trace Symbolic Fault Localizer

A pure Python standard library skill that parses complex Python exception tracebacks into structured frame DAGs, isolates innermost non-stdlib root causes, and computes Ochiai spectrum-based fault suspiciousness scores to guide autonomous agent code repair.

Architecture

graph TD
    A[Raw Unhandled Traceback Text] --> B[Regex Frame Parser]
    B --> C[Structured Execution Call Stack]
    C --> D[Stdlib / Frozen Filter]
    D --> E[Innermost Userland Frame: Probable Root Cause]
    C --> F[Ochiai Suspiciousness Metric Engine]
    E --> G[Targeted Bug Location for Patching]
    F --> G

Features

  • Deterministic Traceback Parsing: Extracts file, line number, scope, and code statement.
  • Ochiai Spectrum Scoring: Statistical metric separating incidental frames from true faults.
  • Zero Pip Dependencies: Standard Library Only.

Citations & Ecosystem

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