Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/dasomel/oh-my-cursor/slop-cleanergit clone --depth 1 https://github.com/dasomel/oh-my-cursorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/dasomel/oh-my-cursor/slop-cleaner)<a href="https://agentmods.dev/rules/dasomel/oh-my-cursor/slop-cleaner"><img src="https://agentmods.dev/badge/rules/dasomel/oh-my-cursor/slop-cleaner.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00523 |
| Opus 5 | $0.00010 | $0.00262 |
| Sonnet 5 | $0.00004 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
slop-cleaner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slop Cleaner Workflow
Clean AI-generated code slop — test first, then delete aggressively.
Trigger Keywords
"deslop", "clean slop", "anti-slop", "AI generated cleanup"
What is "Slop"?
AI-generated code that works but has quality issues:
- Unnecessary abstractions (wrapper functions used once)
- Over-defensive error handling (checking impossible states)
- Verbose comments explaining obvious code
- Feature flags and backward-compatibility shims for nothing
- Premature optimization or generalization
- Copy-pasted patterns that should be unified
Process
Phase 1: TEST BASELINE
[Test Engineer] → Ensure existing tests pass
[Test Engineer] → Add missing tests for current behavior
→ Tests are our safety net for deletion
Phase 2: IDENTIFY SLOP
[Code Simplifier] → Scan for slop patterns:
- Dead code, unused exports, unreachable branches
- Single-use abstractions
- Comments that restate the code
- Over-engineered error handling
- Unnecessary type assertions
Phase 3: DELETE (not refactor!)
[Executor] → For each slop item:
1. Delete it
2. Run tests
3. If tests pass → keep deletion
4. If tests fail → undo, investigate, then fix properly
Phase 4: VERIFY
[Verifier] → Full test suite, build, type check
[Reviewer] → Quick review of changes
Deletion Priorities
| Priority | Target | Action |
|---|---|---|
| 1 | Dead code | Delete entirely |
| 2 | Obvious comments | Delete (// increment i above i++) |
| 3 | Single-use wrappers | Inline the code |
| 4 | Unnecessary try/catch | Remove if error can't happen |
| 5 | Premature abstractions | Flatten to direct code |
Rules
- Delete before refactoring — simpler is always better
- Tests first — never delete without test coverage
- One deletion at a time — commit after each successful deletion
- Preserve behavior — slop cleaning changes style, never logic
- Announce: "Starting Slop Cleaner — establishing test baseline first."
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 69 lines · 19 tokens per session scan A bc64661e55d8
slop-cleaner is a cursor rule published in the GitHub repository dasomel/oh-my-cursor (2 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 523 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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