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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/rafcin-ai-slop-cleaner-e022b5
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Use cases: productivity, agent-building
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What's inside
- Skill name
ai-slop-cleaner- Description
- Run an anti-slop cleanup/refactor/deslop workflow
- License
- MIT
- Instructions
- 70 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: templates/AGENTS.md
Files (1)
- SKILL.md
SKILL.md (first lines)
# AI Slop Cleaner Task Card Use this bounded helper for cleanup/refactor/deslop work, not as a competing top-level workflow. Shared operating invariants live in `templates/AGENTS.md`; this card defines scope, smell taxonomy, passes, and evidence. ## When to use and inputs Use when working code is bloated, noisy, repetitive, over-abstracted, or AI-generated; the user requests cleanup/refactor/deslop; or a follow-up left duplicate/dead code, weak boundaries, missing tests, fallback-like paths, or wrappers. Inputs are the requested feature/files and behavior to preserve. A file list scope is valid; keep the pass bounded to it. In the Ralph workflow, run this skill on Ralph's changed files only, standard mode unless explicitly requested otherwise. ## Before editing 1. **Lock behavior with regression tests first**: identify behavior to preserve, run/add the narrowest targeted tests, and cover both primary and preserved compatibility/fail-safe fallback paths. 2. **Create a cleanup plan before code**: list scope and smells, include fallback findings/classifications/escalation, and order safest/highest-signal fixes first. 3. **Inventory fallback-like code** in scope: quick hacks, temporary workaround, temporary fallback, just bypass, just skip, fallback if it fails, swallowed errors, silent defaults, broad compatibility shims, and duplicate alternate execution paths. 4. Classify each fallback: **Masking fallback slop** hides evidence, bypasses the contract, suppresses validation, swallows failures, silently defaults, or adds untested paths; **Grounded compatibility/fail-safe fallback** is narrow at an external/version/fail-safe boundary, documents rationale, preserves failure evidence, and tests primary plus fallback. 5. Prefer root-cause repair, deletion, boundary repair, or explicit failure behavior. For broad/ambiguous/cross-layer/architectural findings, invoke `$ralplan` for consensus resolution; when already inside ralplan, ralph, team, or another OMX workflow, do not spawn a nested `$ralplan`—attach the finding to the active handoff. ## Smell taxonomy and passes Classify before changing: - **Fallback-like code**: masking fallbacks, workaround branches, bypasses, swallowed errors, silent defaults, broad shims, alternate paths. - **Duplication**: repeated logic, copy-paste branches, redundant helpers. - **Dead code**: unused/unreachable code, stale flags, debug leftovers. - **Needless abstraction**: pass-through wrappers, speculative indirection, single-use layers. - **Boundary violations**: hidden coupling, leaky responsibilities, wrong-layer imports/side effects. - **Missing tests**: behavior not locked or edge cases uncovered. - **UI/design slop**: context-sensitive signals, not absolute bans; preserve intentional brand, design-system, accessibility, or product-context exceptions. Challenge Korean body text at 11-12px (generally 14px or larger); gratuitous box shadows; repetitive eyebrow + title + description + paragraph stacks and generic emoji badges; default AI blue/purple such as `#3B82F6`; reflexive 3-column or 4-column grids; and extreme gradients unless justified by context. Resolve the fallback-like code resolution gate first, then one smell at a time: **Pass 1: Dead code deletion**; **Pass 2: Duplicate removal**; **Pass 3: Naming/error handling cleanup**; **Pass 4: Test reinforcement**. Re-run targeted verification after each pass and avoid unrelated refactors. Prefer deletion/existing utilities; no new abstractions or dependencies unless explicitly required. ## Evidence/output contract Report: ```text AI SLOP CLEANUP REPORT Scope: [files/feature] Behavior Lock: [targeted tests added/run] Cleanup Plan: [bounded smells/order] Fallback Findings: [finding -> masking fallback slop | grounded compatibility/fail-safe fallback -> escalation] UI/Design Findings: [none/N/A or signal -> action/defer -> intentional rationale] Passes Completed: [resolution gate; Passes 1-4] Quality Gates: Regression tests, Lint, Typecheck, Tests, Static/security scan (PASS/FAIL/N/A) Changed Files: [path -> simplification] Remaining Risks: [none or deferred item] ``` Include changed files, simplifications, fallback classifications/escalation status, tests/diagnostics/build checks run, UI findings when relevant, and deferred risks. Keep writer/reviewer separation for cleanup plans and approvals. ## Exit condition Stop when the requested scope has behavior-lock evidence, each selected smell pass is complete or explicitly deferred with rationale, verification is reported, and no unrelated files or temporary artifacts remain. Never present an unverified cleanup as complete; escalate a real architectural blocker rather than masking it.
From Rafcin/oh-my-codex-slim, MIT.
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Use when a material product or engineering decision remains unclear after repository evidence has been inspected.
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Use when an existing workflow invokes the legacy OMCS orchestration skill name for a substantial engineering task.
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Use when a bounded implementation task has settled requirements, declared ownership, and a credible behavior seam.
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verification
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Prove a completed change against explicit acceptance criteria before claiming completion, release readiness, or runtime success.
SkillBFreshness: BClaude Code +9 - 0.521score
deep-interview
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Clarify an underspecified product or engineering request through one focused question at a time before planning or implementation.
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plan
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 24, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Rafcin/oh-my-codex-slim
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Build or refresh a concise repository map when a codebase's modules, entry points, and dependency boundaries must be understood.
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Implement a feature or bug fix test-first when the user asks for red-green development or the change needs a regression seam.
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Use when a substantial engineering task needs OMCS risk-gated orchestration, including when the user says use OMCS to solve this issue.
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ai-slop-cleaner skill. Agent Mart. https://agentmart.dev/skills/rafcin-ai-slop-cleaner-e022b5 (last updated 2026-10-24)