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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    anti slop quality guard

    1

    Detect and remove low-substance AI patterns from prose, code diffs, UI concepts, and business documents.

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    anti slop quality guard

    anti slop quality guard

    Example session with this skill installed

    Review this draft PR description for slop. It was generated by an agent and feels too wordy. I want it concise and focused on the technical change.

    Draft: 'In this revolutionary update, we seamlessly integrate a robust logging solution to empower developers and unlock the power of observability. This game-changer enhances our ecosystem.'

    • Read your context and instructions
    • Compiled the anti slop quality
    • Generated the document

    I have audited the PR description for slop. I removed the marketing fluff, generic intensifiers, and "throat-clearing" openers to focus on the technical implementation.

    PR Description Audit

    Issue CategoryFound PatternRecommended Action
    Banned Phrases"revolutionary update", "seamlessly integrate", "robust"Remove. These are empty intensifiers.
    Workslop"empower developers", "unlock the power"Replace with specific technical benefit.
    Low Substance"enhances our ecosystem"Delete. This provides zero information to the reviewer.
    ToneMarketing-heavy / High-arousalShift to neutral, technical engineering voice.

    Revised PR Description

    Add structured logging to the authentication middleware.

    Changes:

    • Replace console.log with Winston logger in auth.ts.
    • Add correlation IDs to request headers for trace tracking.
    • Update logger.config to support JSON output for Datadog ingestion.

    Next steps

    • Verify the correlation ID header name matches the infra spec.
    • Check if the log level is configurable via environment variables.
    • Ensure no sensitive PII is included in the new JSON payload.

    anti-slop-quality-guard.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Strip generic AI clichés and "workslop" from business proposals.Clean up noisy code diffs to focus on idiomatic logic changes.Audit UI concepts for repetitive AI design habits and flat layouts.Identify synthetic recursion and provenance issues in research summaries.Review a draft for generic phrasing, vague claims and missing evidenceClean a code diff down to the smallest idiomatic changeBuild a reusable anti-slop review gate for a team or a publicationAudit B2B content for point of view, human judgement and differentiation

    About this skill

    The problem

    AI-generated content often suffers from "slop": generic phrasing, formulaic structures, and low-substance claims that add cognitive load to the reader. These outputs lack specific evidence, human judgment, and unique points of view, making them feel synthetic and untrustworthy.

    What it does

    • Identifies and removes banned phrases, corporate filler, and formulaic "rule of three" sentence structures.
    • Audits business documents for "workslop" to ensure they help the next person make progress rather than creating extra work.
    • Cleans code diffs by stripping noisy logging, redundant comments, and style drift while preserving idiomatic logic.
    • Critiques UI concepts to eliminate default AI aesthetic habits like generic cards and safe gradients.
    • Conducts slop forensics to analyze vocabulary variety and trigram repetition for quality triage.

    Why this beats prompting it yourself

    Generic "make this sound human" prompts usually just swap one set of AI clichés for another. This skill uses a multi-mode inspection pipeline that checks for structural recursion, provenance, and measurable pattern density across different domains. It provides a structured audit rather than just a subjective rewrite.

    Use cases

    • Refining B2B sales collateral to ensure a distinct point of view and buyer relevance.
    • Cleaning up LLM-generated pull requests to keep only essential logic changes.
    • Auditing research summaries for synthetic recursion and weak source fidelity.
    • Evaluating UI mockups against a brand-specific design system to avoid "AI-flatness".

    Known limitations

    Slop scores are triage signals, not definitive proof of authorship. Does not support deceptive content generation or hiding AI use where disclosure is legally required.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 26 days ago

    • Passed all security checks, Safe to install

    Listed26 days ago

    What's inside

    Frequently Asked Questions