Individual skill
ql-deslop
Post-review AI-slop cleanup pass. After quality review approves a story/feature, scans only the changed files for: duplicate code, dead code, needless abstraction, boundary violations, missing tests. Proposes deletions with regression-test gate — rolls back on regression. Mandatory unless explicitly skipped via --no-deslop. Borrowed from OMC Ralph 7.5 + 7.6.
skills/ql-deslop/SKILL.md
Source commit bed463b5db7ec57e30f3c3a47ca1025f95cfe453
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 24
- Repository last updated
- Jun 25, 2026
- License
- MIT
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- agent-skills Repository topic
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- claude-code Repository topic
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- claude-code-skill Repository topic
- testing Derived category
Files and excerpt
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# ql-deslop — post-review AI-slop cleanup
## Purpose
Review approval does not mean the code is clean. LLM-authored code routinely introduces:
- **Duplication** of helpers / types / imports under slightly different names.
- **Dead code** — functions added but never called; exports that no consumer uses.
- **Needless abstraction** — factory for one caller; wrapper that only aliases; configurable field never varied.
- **Boundary violations** — private functions accessed via string names; cross-module reaches that skip the public API.
- **Missing tests** — paths and branches not exercised by any test.
Per Schreiber & Tippe 2025, 12.1% of AI-generated files contain ≥1 CWE, and per Zhong et al. 2026 (278k conversations) AI suggestions increase cyclomatic complexity 10-50× more than human edits. Without an explicit cleanup step, every autonomous run accumulates slop.
`ql-deslop` adds an explicit cleanup pass AFTER the story's review gate passes but BEFORE the merge to the feature branch. Borrowed directly from OMC Ralph Steps 7.5 (deslop) + 7.6 (regression re-verify).