← ClaudeAtlas

judgelisted

Interactive classifier for a single Reddit surface. Reads one post by surface ID (or pasted URL/title/body), runs the bulk-classifier prompt against it, and returns a verdict + reply angle. Uses your Claude Code subscription, NOT a separate API key — costs nothing extra beyond what you already pay. Triggers on "judge surface 3", "classify post
dancolta/reddit-engage · ★ 10 · AI & Automation · score 80
Install: claude install-skill dancolta/reddit-engage
# /subscope:judge Interactive single-surface classifier. Designed for the workflow where you scan today's `/subscope:run` output, hit one or two surfaces that feel borderline, and want a structured judgment before deciding whether to reply. **Why this exists separately from bulk classification:** bulk LLM classification of every regex-passing post requires an Anthropic API key (~$0.50/day at 5K posts/day, cheap but not free). The judge skill uses your Claude Code subscription directly — no API key, no subprocess, no extra cost. It's the right tool for "I want a verdict on these 2 posts" not "grade every post in today's list." ## When to invoke The user has just seen `/subscope:run` output and asks something like: - `/subscope:judge 3` — surface number from today's list - "is surface #5 actually a real lead?" - "classify the HubSpot post" - "judge this: https://reddit.com/comments/abc123/" ## Procedure ### Step 1 — Identify the target surface Three paths the user might take: **A. Surface number from today's list.** The most recent `inline_markdown` from `/subscope:run` is in your conversation context. Find the surface in the numbered list by index. Extract: post URL, title, body, subreddit. **B. Reddit URL pasted.** Read the post via the engine's already-installed reddit_oauth wrapper: ```bash cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -c " import sys from urllib.parse import urlparse from subscope.lib import reddit_oauth, reddit_public # Extract post ID