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JuliusBrussee/surgical-patch

JuliusBrussee

surgical-patch

Fix bugs and small behavior changes at the narrowest responsible layer. Use when regression proof, preserved surrounding behavior, and task-relevant tests matter.

NewUpdated Sep 9, 2026

Surgical patch

Reproduce failure first when economical; otherwise capture strongest available evidence.

  • Trace symptom to responsible mechanism.
  • Change narrowest layer that owns incorrect behavior.
  • Preserve unrelated behavior and user changes.
  • Avoid cleanup, renaming, and abstraction outside fix.
  • Add only regression proof relevant to task.

Run focused proof plus nearest affected gate. Stop when failure is fixed and regression proof passes.

Files2
2 files · 1.6 KB

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Overall Score

42/100

Grade

D

Below Average

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

75

Quality

28

Clarity

35

Completeness

22

Summary

A methodology skill for surgical bug fixes that guides agents to reproduce failures, trace root causes, and apply narrowly-scoped changes at the responsible layer while preserving surrounding behavior. The skill emphasizes regression testing and avoiding cleanup/refactoring outside the fix scope.

Detected Capabilities

code analysisfailure reproductiontest executiontargeted code modification

Trigger Keywords

Phrases that agents use to match this skill to user intent.

fix regression bugnarrow targeted patchminimal behavior changesurgical code fixregression proof testisolate root cause

Use Cases

  • Fix a reported bug with minimal blast radius and regression proof
  • Apply a narrow behavior change that requires careful testing and preservation of adjacent functionality
  • Debug and correct issues while maintaining test suite integrity and avoiding unrelated refactoring
  • Isolate a symptom to its root cause and apply targeted fixes at the responsible abstraction layer

Quality Notes

  • Skill content is extremely minimal — the SKILL.md body is only 6 lines of condensed guidance
  • No concrete examples, code snippets, or step-by-step walkthrough provided
  • No specific mention of which tools or commands to use for reproduction, tracing, or testing
  • No error handling guidance or troubleshooting advice
  • No discussion of when this approach is inappropriate or trade-offs vs. larger refactors
  • Unclear scope for 'narrowest responsible layer' — abstract concept without concrete definition
  • No discussion of how to determine if a change is 'regression proof' or what test coverage is adequate
  • No mention of version control workflow (branches, commits, diffs) for surgical patches
  • Terminology like 'economic' reproduction and 'strongest available evidence' lacks clarification
  • No supporting documentation, templates, or examples in accompanying files
Model: claude-haiku-4-5-20251001Analyzed: Sep 9, 2026

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Version History

  1. v1.1

    Content updated

    ✦ AINo functional changes to skill instructions or supporting files; safety grade lowered from C to D.

    2026-09-09

    LATEST
  2. v1.0

    2026-08-17

    View This VersionInitial version

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