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python-error-handling

Design Python error paths with narrow exceptions, rollback, contextual logs, and preserved blocker truth. Use when handling retries, verifier outcomes, parser failures, or exception flow in Python services.

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SKILL.md (original)

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Python Error Handling

Priority: P1 (HIGH)

Rules

  • Catch the narrowest exception you can explain.
  • Roll back mutable state before re-raising or returning failure status.
  • Add context to logs and raised errors without discarding the root cause.
  • Preserve blocker truth; do not convert real failure into vague success text.

Recipe

  1. Handle expected failures close to the boundary.
  2. Re-raise unexpected failures after cleanup.
  3. Return structured blocker or verdict data when the caller needs workflow truth.
  4. Test timeout, malformed input, and missing-env paths.

Anti-Patterns

  • No silent except Exception: pass.
  • No broad catch that marks work complete without evidence.
  • No duplicate logging at every stack layer.
  • No blocker text without owner or next action when the protocol needs both.

References

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