# Lit Screen

> >

- **Type:** Skill
- **Install:** `agentstack add skill-kennethkhoocy-legal-scholarship-skills-lit-screen`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [kennethkhoocy](https://agentstack.voostack.com/s/kennethkhoocy)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [kennethkhoocy](https://github.com/kennethkhoocy)
- **Source:** https://github.com/kennethkhoocy/legal-scholarship-skills/tree/main/plugins/legal-scholarship/skills/lit-review-orchestrator/lit-screen

## Install

```sh
agentstack add skill-kennethkhoocy-legal-scholarship-skills-lit-screen
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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": "direct competitor"
}
```

## Output Files

1. **JSON**: `stage6_screened.json` -- full paper list with screening fields
2. **JSON**: `stage6_filtered.json` -- papers with score >= 4 only
3. **XLSX**: `stage6_screened.xlsx` -- all papers, sorted by screening_score descending
4. **XLSX**: `stage6_filtered.xlsx` -- filtered papers (score >= 4), sorted by score descending
5. **RIS**: `stage6_screened.ris` -- for import into reference managers
6. **BIB**: `stage6_screened.bib` -- BibTeX entries for papers with score >= 5

## Environment Variables

| Var | Required | Description |
|-----|----------|-------------|
| `ANTHROPIC_API_KEY` | Fallback | Standalone-run screening (Sonnet API). The agent-driven flow screens with Opus subagents and needs no key. |

## Field Values

- **screening_score**: 1 (irrelevant) to 10 (highly relevant); 0 = no abstract
- **paper_type**: `theoretical` or `empirical`
- **identification_strategy**: `natural experiment`, `IV`, `DiD`, `RDD`, `structural`, `descriptive`, `N/A`
- **relationship**: `foundational/must-cite`, `same method different context`, `same context different method`, `direct competitor`, `methodological reference`, `tangential`

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [kennethkhoocy](https://github.com/kennethkhoocy)
- **Source:** [kennethkhoocy/legal-scholarship-skills](https://github.com/kennethkhoocy/legal-scholarship-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-kennethkhoocy-legal-scholarship-skills-lit-screen
- Seller: https://agentstack.voostack.com/s/kennethkhoocy
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
