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Related Servers

Alternatives to defluff

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Scores prose from 0 to 100 for formulaic AI writing patterns using purely programmatic rules, with no LLM judge or API calls. Enables agents to lint text or files and receive a score, band label, specific violations with surrounding context, and concrete advice for each hit.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Scores prose from inline text or files on a 0–100 scale for formulaic AI writing patterns using rule-based heuristics, with no LLM judge or API calls. Returns band labels, specific violations with context, penalty breakdowns, and concrete advice for each hit, so agents can flag and revise sloppy generated text.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to analyze inline prose or files on disk for formulaic AI writing patterns, returning a 0-100 score, band label, specific violations with context, and concrete advice. Uses purely programmatic, configurable rules with no LLM judge or API calls.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to score prose from 0-100 for formulaic AI writing tells using pure rule-based heuristics, exposing tools to analyze inline text or files on disk and return violation details, band labels, and concrete advice without any LLM judge or network calls.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Scores prose 0-100 for formulaic AI writing patterns using rule-based heuristics, returning a band label, violations with context, and concrete advice. It enables linting of inline strings or files without any LLM judge or API calls.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to score prose from 0-100 for formulaic AI writing tells using purely programmatic rule-based heuristics, with no LLM judge or API calls. Returns a numeric score, band label, specific violations with surrounding context, per-category counts, and concrete advice, and can also analyze a file path directly.
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    TDQS

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct operation: detection, addition to lexicon, and ignoring phrases. No overlap in functionality.

    Naming Consistency5/5

    All tools follow the consistent 'slop_verb' pattern (slop_add, slop_detect, slop_ignore), making names predictable and clear.

    Tool Count5/5

    With 3 tools, the server covers the core operations for a slop detection lexicon (add, detect, ignore). It is well-scoped and not excessive.

    Completeness4/5

    The set covers detection, addition, and whitelisting, but misses removal of phrases from the lexicon and listing the current lexicon, which are minor gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues