lit-screenlisted

Stage 6 of the lit review pipeline: screen paper abstracts against the research prompt. The orchestrator's agent-driven flow runs this re-ranker on Opus subagents; a standalone run uses the in-script Claude Sonnet API fallback. Rates relevance 1-10, tags each paper as theoretical/empirical, identifies methodology, and classifies relationship to user's work. Only use this skill when explicitly requested -- e.g., the user says "run lit-screen", "lit-screen", or "/lit-screen". Do NOT auto-trigger on general literature review requests.
kennethkhoocy/legal-scholarship-skills · ★ 1 · AI & Automation · score 74

Install: claude install-skill kennethkhoocy/legal-scholarship-skills

# lit-screen (Stage 6 -- Abstract Screening) Screen every paper's abstract against the original research prompt. In the orchestrator's agent-driven flow the relevance judgment is produced by **Opus subagents** through the `--emit-tasks` / `--ingest-results` seam (no API key); a standalone run uses the in-script Claude Sonnet API path instead. Produces a relevance score (1-10), rationale, and structured tags for each paper. ## Usage ```bash python ~/.claude/skills/lit-screen/scripts/lit_screen.py \ --input stage5_merged.json \ --query "your research prompt here" \ -o stage6_screened.json ``` ## CLI Flags | Flag | Default | Description | |------|---------|-------------| | `--input` | (required) | Input JSON from Stage 5 (dedup output) | | `--query` | (required) | Research query/prompt to screen against | | `-o, --output` | `stage6_screened.json` | Output JSON path | | `--model` | `claude-sonnet-4-6` | Anthropic model ID (autonomous fallback) | | `--concurrency` | `5` | Max simultaneous API requests (autonomous fallback) | | `--emit-tasks PATH` | — | Agent-driven: write per-paper screening tasks and stop (no API) | | `--ingest-results PATH` | — | Agent-driven: merge Opus screening results and write all outputs (no API) | ## Output Schema Each paper gets these fields added: ```json { "screening_score": 8, "screening_rationale": "Directly examines board composition changes...", "paper_type": "empirical", "identification_strategy": "DiD", "relationship": "di