claude

human-voice

Detect AI-generated writing patterns and build authentic voice profiles through adaptive interviews and computational stylistics

13 on GitHubby zircotev0.8.3MITupdated 3 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin human-voice in zircote/human-voice. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (2)

  • human-voice

    This skill should be used when the user asks to review for AI patterns, make this sound human, check for AI writing, ai slop detection, fix AI voice, improve writing voice, human voice check, remove AI patterns, humanize this content, or needs to detect and correct AI-generated writing patterns.

  • voice

    This skill should be used when the user asks to start a voice interview, elicit writing style, build a voice profile, analyze writing voice, capture writing style, run voice elicitation, understand my writing style, profile my voice, or needs to conduct an adaptive interview that produces a multi-di

Slash commands (12)

  • /human-voice:voice-copilot-install

    Install voice profile(s) into a project's GitHub Copilot configuration

  • /human-voice:voice-design

    Design a voice profile from a description or template without running an interview

  • /human-voice:voice-drift

    Report observed voice patterns and drift from the voice profile. Shows how the user's actual writing compares to their profiled voice over time.

  • /human-voice:voice-fix

    Auto-fix AI character patterns in content

  • /human-voice:voice-interview

    Start a new voice elicitation interview session

  • /human-voice:voice-profile

    View a completed voice profile with example prose

  • /human-voice:voice-profiles

    List, activate, delete, rename, and export voice profiles

  • /human-voice:voice-resume

    Resume a paused voice elicitation interview session

  • /human-voice:voice-review

    Review content for AI writing patterns

  • /human-voice:voice-sessions

    List all voice elicitation interview sessions

  • /human-voice:voice-setup

    Interactive setup for human voice configuration

  • /human-voice:voice-status

    Show progress of a voice elicitation interview session

Subagents (3)

  • interview-conductor

    Conducts adaptive voice elicitation interviews. Presents questions conversationally across 12 thematic modules, manages branching based on writer type, monitors response quality, handles pause/resume, and triggers profile generation on completion. Use when the user wants to start or continue a voice

  • profile-synthesizer

    Synthesizes voice profiles from self-report scores and computational writing analysis. Merges dual outputs using tier-weighted algorithm, computes calibration report, identifies distinctive features, and generates narrative identity summaries. Invoked by the interview conductor after scoring and ana

  • voice-reviewer

    Proactively reviews markdown content for AI writing patterns after edits. Also triggers on explicit requests to check for AI patterns, review voice, make content sound human, or improve writing authenticity.

Hooks (2)

  • SessionStart

    DATA_DIR="$HOME/.human-voice"; mkdir -p "$DATA_DIR"; [ -f "$DATA_DIR/observer-protocol.md" ] || cp "${CLAUDE_PLUGIN_ROOT}/templates/observer-protocol.md" "$DATA_DIR/observer-protocol.md" 2>/dev/null;

  • SessionStart

    echo "Read $HOME/.human-voice/voice-prompt.txt and $HOME/.human-voice/observer-protocol.md if they exist. The first defines the user'"'"'s voice profile rules for content generation. The second define

View source on GitHub

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