name: slop_gate
description: "AI-slop detection gate -- runs after chapter_production to catch AI fingerprinting. Fails the gate if aggregate AI score is too high; routes to human_polish_brief if flagged."
debug: false
model: power
system: agent_prompt
agent_prompt:
  - "= identity.md"
sections:
  - agent
  - project
  - rag
  - message
  - instructions
steps:
  # Step 0: load the chapter content from staging
  - type: tool
    action: git_read_file
    optional: false
    output_key: chapter_text
    params:
      path: "staging/draft/{chapter.slug}.md"

  # Step 1: run AI fingerprint detection via Tool.SlopDetector
  - type: tool
    capability: Tool_SlopDetector
    optional: false
    output_key: ai_detection_result
    params:
      action: "detect_ai_fingerprint"
      text: "{chapter_text}"
      provider_pool: ["local_heuristic"]

  # Step 2: run style diversity analysis
  - type: tool
    capability: Tool_SlopDetector
    optional: true
    output_key: style_analysis_result
    params:
      action: "analyse_style_diversity"
      text: "{chapter_text}"

  # Step 3: load the author voice signature for comparison
  - type: tool
    action: git_read_file
    optional: true
    output_key: voice_signature
    params:
      path: "agents/{agent.name}/voice_signature.json"

  # Step 4: evaluate the detection results
  - type: think
    max_tokens: 800
    output_key: gate_evaluation
    hint: |
      You are {agent.name} evaluating a slop gate check for a chapter from {project.name}.

      AI detection result: {ai_detection_result}
      Style diversity analysis: {style_analysis_result}
      Author voice signature: {voice_signature}

      Rules:
      - If aggregate_score >= 75: the chapter has strong AI fingerprinting. Flag it.
      - If aggregate_score >= 50 and sentence_length_variance < 5.0: mixed signal. Flag it.
      - If aggregate_score < 50 and opening_word_repetition_rate < 0.3: PASS.
      - If voice_signature is available and pacing_profile or register is very different
        from the signature, note the drift even if score is below threshold.

      Output one of:
      GATE_STATUS: PASS
      GATE_STATUS: FLAG

      Then provide 2-3 sentences explaining the decision.
      If flagging, list 2-3 specific signals that triggered the flag (e.g., sentence
      length variance, AI fingerprint score, opening word repetition).

  # Step 5: extract the gate status
  - type: think
    max_tokens: 20
    output_key: gate_status
    hint: |
      Read the GATE_STATUS line from the evaluation above.
      Output ONLY the word: PASS or FLAG. Nothing else.

  # Step 6: if PASS -- close and log
  - type: branch
    condition: "{gate_status} == PASS"
    target: close_gate

  # Step 7: if FLAG -- produce human polish brief and halt chapter for review
  - type: think
    max_tokens: 1200
    output_key: polish_brief
    hint: |
      The slop gate has flagged this chapter. You are writing a Human Polish Brief --
      a set of specific, actionable instructions for a human editor to revise this chapter.

      Base your brief on:
      - The AI detection signals identified in the evaluation
      - The style diversity analysis (which sentence patterns are too uniform?)
      - The voice signature drift (if any)
      - The actual chapter text

      Your brief must include:
      1. WHAT TRIGGERED THE FLAG: the specific signals (be numerical where possible)
      2. THE CORE PROBLEM: one sentence describing the main issue (e.g., "Every paragraph
         begins with a pronoun and has nearly identical sentence length.")
      3. REVISION TARGETS: 4-6 specific passages or patterns that need human rewriting.
         Quote the actual text. Say what makes it feel AI-generated.
      4. VOICE GUIDANCE: what the author's authentic voice should feel like for this
         project and chapter. Reference the voice signature if available.
      5. ACCEPTANCE CRITERIA: what the chapter needs to score on re-check to pass the gate.

      Output ONLY the brief text. No preamble.

  - type: document
    source_step: polish_brief
    filename: "slop_gate_flag_{task.id}"
    dest_path: "staging/flags"
    commit_msg: "slop_gate: flag {chapter.slug} for human polish -- task {task.id}"

  - type: reply
    target: channel
    channel_name: "crimson_leaf_publishing:live-feed"
    hint: |
      Post: "Slop gate FLAGGED {chapter.slug} -- human polish required. Brief saved to
      staging/flags/. AI score: {ai_detection_result.aggregate_score}."

  - type: close
    rag_update: false

  # Gate pass path
  - type: label
    name: close_gate

  - type: reply
    target: channel
    channel_name: "crimson_leaf_publishing:live-feed"
    hint: |
      Post: "Slop gate PASSED {chapter.slug} -- AI score within acceptable range."

  - type: close
    rag_update: false

adjudication:
  enabled: false