Borrowing it
Nothing to install: this file belongs to kirti12025/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kirti12025/gitlab-mcp/custom-tool-pipeline-summary/.github/skills/ai-slop-cleaner/SKILL.mdgit clone --depth 1 https://github.com/kirti12025/gitlab-mcpWrote 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/skills/kirti12025/gitlab-mcp/ai-slop-cleaner)<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/ai-slop-cleaner"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/ai-slop-cleaner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/ai-slop-cleaner"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/ai-slop-cleaner.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00046 | $0.00333 |
| Opus 5.5 | $0.00018 | $0.00133 |
| Sonnet 5.5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
ai-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 1mo 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.
This is a copy
100% identical to ai-slop-cleaner — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AI Slop Cleaner
Clean AI-generated code slop without changing behavior. Deletion-first workflow with regression safety.
When to Use
- Code that works but feels bloated, repetitive, or over-abstracted
- Duplicate logic, dead code, wrapper layers, boundary leaks
--reviewfor reviewer-only mode (no changes, just findings)
When NOT to Use
- New feature build or product change
- Broad redesign
- Behavior is unclear and untestable
Principles
- Preserve behavior unless explicitly asked for changes
- Delete before refactoring — removal is safest
- Scope-bounded: only clean what was specified
- Regression-safe: verify tests pass after every change
Slop Signals
- Unnecessary wrapper functions
- Duplicated logic across files
- Over-abstracted single-use helpers
- Dead code / unreachable branches
- Excessive comments restating obvious code
- Premature abstractions (used only once)
Workflow
- Identify target files/scope
- Run existing tests (baseline)
- Apply deletions first (dead code, unused imports)
- Simplify remaining code (reduce nesting, merge duplicates)
- Re-run tests after each change
- Report what was cleaned and verification results
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.
- 1mo ago First seen · 45 lines · 46 tokens per session scan A 430910f14205
ai-slop-cleaner is a skill published in the GitHub repository kirti12025/gitlab-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 333 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ai-slop-cleaner, differing in 0 lines, and is treated as a copy.
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