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Run comprehensive code quality checks, tests, and fixes autonomously
Passed 15 of 18 test cases with the skill, and 16 of 18 without it.
1 fixed17 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
When categorizing detected issues into priority tiers for fixing in a Python project, how should `except: pass` (swallowed exception) be prioritized relative to `except Exception:` with existing logging?
| Checked | Without skill | With skill |
|---|---|---|
| Ranks exception swallowing as CRITICAL priority. | Passed | Passed |
| Ranks broad exception handling as HIGH priority. | Missed | Passed |
The instructions your model reads when the skill loads.
Run comprehensive code quality checks, tests, and fixes without human intervention.
Use this skill:
This skill enables Claude to work autonomously on code quality:
echo "=== Phase 1: Current State Assessment ==="
# 1.1 Check git status
echo "## Git Status"
git status --short
# 1.2 Run existing tests
echo "## Running Tests"
uv run pytest MouseMaster/Testing/Python/ -v --tb=short 2>&1 | tee /tmp/test_results.txt
TEST_EXIT=$?
test cases passed, vs 16 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.