Scan & Evaluate — Reddit Community Automation Workflow

schema_version: 1
version: "1.1.0"
last_verified: "2026-02-03"
id: reddit_scan_and_evaluate
title: "Scan & Evaluate"
description: "Scan a subreddit feed, read the top threads, and evaluate each against Strategy D criteria. Outputs per-thread verdicts with mood-matched draft comments for approval."
category:
  level: automation
  domain: social
  reusable: false
policies:
  allowed_domains:
    - old.reddit.com
params:
  subreddit: string
  sort: string
embed:
  label: "Scan & Evaluate"
  when: "#siteTable"
  param_map:
    subreddit: "{{_path.1}}"
    sort: "{{_path.2}}"
steps:
  # ── Phase 1: Extract feed data (on current page) ──────────────────────

  - type: browser.navigate
    url: "https://old.reddit.com/r/{{subreddit}}/{{sort}}"

  - type: browser.wait
    selector: "#siteTable > .thing.link"
    timeout: 10000

  - type: browser.extractMap
    selector: "#siteTable > .thing.link:not(.promoted)"
    fields:
      title:
        selector: ".title a.title"
      url:
        selector: ".title a.title"
        attribute: "href"
      score:
        selector: ".score.unvoted"
        attribute: "title"
      comments:
        selector: ".comments"
      author:
        selector: ".author"
      flair:
        selector: ".linkflair-text"
    as: feed

  # Extract comment-page URLs (not title links — those go external on link posts)
  - type: browser.extractAll
    selector: "#siteTable > .thing.link:not(.promoted) .comments"
    attribute: "href"
    separator: "|||"
    as: post_urls

  # Extract fullnames for CSS targeting
  - type: browser.extractAll
    selector: "#siteTable > .thing.link:not(.promoted)"
    attribute: "data-fullname"
    separator: "|||"
    as: post_fullnames

  - type: variable.set
    name: highlight_css
    value: ""

  - type: variable.set
    name: mute_css
    value: ""

  - type: variable.set
    name: evaluation
    value: ""

  - type: variable.set
    name: score_css
    value: ""

  # ── Phase 2: Per-thread evaluate (foreach) ────────────────────────────

  - type: control.foreach
    items: "{{post_urls}}"
    as: raw_url
    separator: "|||"
    index_as: "i"
    max_items: 25
    delay_ms: 500
    continue_on_error: true
    steps:
      # Get fullname for this thread's index
      - type: data.get
        input: "{{post_fullnames}}"
        separator: "|||"
        index: "{{i}}"
        as: current_fullname

      # Read thread content via sub-workflow
      - type: workflow.call
        workflow: reddit_read_thread
        params:
          post_url: "{{raw_url}}"
        as: current_thread
        timeout: 15000

      # Evaluate: verdict + importance in one call → "COMMENT|75" or "SKIP|20"
      - type: llm.generate
        prompt: |
          Evaluate this Reddit thread for u/MxTide (Berlin indie dev, browser automation, Claude Code, MCP servers).

          Strategy D criteria (all must pass for COMMENT):
          - Post < 15 min old, 3+ early comments, projected < 20 final, < 10 current
          - Topic matches MxTide credibility: Claude Code, MCP, browser automation, CLAUDE.md, cost/pricing
          Skip signals (2+ = SKIP): sensational title + new account, universal topic, score > 20, 10+ comments on rising, hot take framing.

          Importance 0-100: topic relevance to MxTide, thread timing, comment opportunity, visibility potential.

          ---
          title: {{current_thread.title}}
          score: {{current_thread.score}}
          author: {{current_thread.author}}
          flair: {{current_thread.flair}}
          comments: {{current_thread.comments}}
          body: {{current_thread.body}}

          Reply with EXACTLY: VERDICT|score|reason
          reason: 5-10 words explaining why, no pipes, no quotes
          Examples: COMMENT|82|direct MCP topic, early thread, good fit
                    SKIP|15|generic AI discussion, no credibility match
          Nothing else.
        as: eval_raw

      - type: data.get
        input: "{{eval_raw}}"
        separator: "|"
        index: "0"
        as: verdict

      - type: data.get
        input: "{{eval_raw}}"
        separator: "|"
        index: "1"
        as: importance

      - type: data.get
        input: "{{eval_raw}}"
        separator: "|"
        index: "2"
        as: resolution

      # Score badge CSS (all checked threads)
      - type: variable.set
        name: score_css
        value: "{{score_css}}\n.thing[data-fullname=\"{{current_fullname}}\"] { position: relative; }\n.thing[data-fullname=\"{{current_fullname}}\"]::before { content: \"{{importance}}\"; position: absolute; left: 0; top: 0; background: rgba(59,130,246,0.9); color: #fff; border-radius: 6px; padding: 4px 8px; font-size: 18px; font-weight: 800; z-index: 10; line-height: 1; }\n.thing[data-fullname=\"{{current_fullname}}\"]::after { content: \"{{resolution}}\"; position: absolute; right: 8px; top: 4px; background: #fff; color: #444; font-size: 13px; font-weight: 600; padding: 2px 6px; border-radius: 4px; max-width: 350px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; z-index: 10; }"

      # If COMMENT: draft replies + highlight CSS
      - type: control.if
        condition: "{{verdict}} == 'COMMENT'"
        then:
          - type: workflow.call
            workflow: reddit_persona_draft
            params:
              title: "{{current_thread.title}}"
              score: "{{current_thread.score}}"
              body: "{{current_thread.body}}"
              comments: "{{current_thread.comments}}"
              thread_comments: "{{current_thread.thread_comments}}"
              instructions: ""
              output_format: |
                Output exactly 3 comment options in this format:

                **Comment (recommended):** [Mood: X]
                > draft

                **Alternative A:** [Mood: Y]
                > draft

                **Alternative B:** [Mood: Z]
                > draft
            as: persona
            timeout: 30000

          - type: variable.set
            name: highlight_css
            value: "{{highlight_css}}\n.thing[data-fullname=\"{{current_fullname}}\"] { border-left: 4px solid #22c55e; background: rgba(34,197,94,0.08); }"

          - type: variable.set
            name: evaluation
            value: "{{evaluation}}\n\n**Thread {{i}}: {{current_thread.title}}**\n**Link:** {{raw_url}}\n**Verdict:** COMMENT | **Importance:** {{importance}}/100\n**Score:** {{current_thread.score}} | **Comments:** {{current_thread.comments}}\n{{persona.draft}}"

        else_steps:
          - type: variable.set
            name: mute_css
            value: "{{mute_css}}\n.thing[data-fullname=\"{{current_fullname}}\"] > * { opacity: 0.4; }"

          - type: variable.set
            name: evaluation
            value: "{{evaluation}}\n\n**Thread {{i}}: {{current_thread.title}}** — SKIP ({{importance}}/100)"

  # ── Phase 3: Navigate back + inject CSS + output ──────────────────────

  - type: browser.navigate
    url: "https://old.reddit.com/r/{{subreddit}}/{{sort}}"

  - type: browser.wait
    selector: "#siteTable"
    timeout: 10000

  - type: control.if
    condition: "{{mute_css}} != ''"
    then:
      - type: browser.injectCSS
        id: "reddit-scan-mute"
        css: "{{mute_css}}"

  - type: control.if
    condition: "{{highlight_css}} != ''"
    then:
      - type: browser.injectCSS
        id: "reddit-scan-highlight"
        css: "{{highlight_css}}"

  - type: control.if
    condition: "{{score_css}} != ''"
    then:
      - type: browser.injectCSS
        id: "reddit-scan-scores"
        css: "{{score_css}}"

  - type: control.stop
    message: "{{evaluation}}"