Individual skill
antislop-codebase
Diagnose or execute an explicit repository-wide maintainability cleanup while preserving behavior. Use only when the user asks to antislop a codebase, clean up an overgrown repository, plan or run a substantial structural migration, or audit maintainability across a repo. Do not trigger for ordinary feature refactors, a single large file, routine type improvements, adding regression tests, or broader production-readiness work.
antislop-codebase/SKILL.md
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 198
- Repository last updated
- Nov 9, 2026
- License
- MIT
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- security Derived category
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SKILL.mdcore · 6,420 bytesagents/openai.yamlasset · 307 bytesreferences/analysis-checklist.mddoc · 1,478 bytesreferences/audit-microsite.mddoc · 1,891 bytesreferences/execution-playbook.mddoc · 2,576 bytes
Read excerpt
# Antislop Codebase
Use this skill to reduce demonstrated maintenance cost while keeping current behavior essentially as-is. Do not impose a universal "product-shaped" architecture.
## Boundary
This skill is for demonstrated structural maintainability problems such as unclear ownership, harmful coupling, repeated logic, or repository-wide migration debt.
Do not expand the scope into a full production-readiness initiative. Observability/logging programs, security reviews, compliance, incident response, SLOs, runbooks, secrets posture, penetration testing, and deep reliability engineering belong in separate follow-on skills unless the user explicitly asks to include a small enabling change.
## Operating Principles
- Preserve behavior first. Improve architecture in thin, reversible slices.
- Ground every decision in repo facts: file sizes, dependency graph, tests, runtime shape, API surfaces, user workflows, deployment limits, and current dirty worktree.