Run literature screening workflows with paper-search, paper-reader, and paper-ranker modules.
npx skills add https://github.com/Dai0-2/Paper_Reach --skill paper-reach
Please help me install this Agent Skill. Skill: paper-reach Source: https://github.com/Dai0-2/Paper_Reach/tree/main Command: npx skills add https://github.com/Dai0-2/Paper_Reach --skill paper-reach
Provides a host-agnostic entrypoint and guidance to discover and execute a rigorous literature-review workflow across coding-agent runtimes, ensuring consistent screening results.
Run paper-reach doctor to verify capabilities and available channels.
High-intent search queries and answers about installing and using this skill.
Automating literature screening across coding-agent runtimes requires a host-agnostic entrypoint with reusable sub-skills for paper search, reading, and ranking. This Skill provides thin host-specific metadata to ensure consistent structured JSON outputs across environments.
Evidence-aware literature screening composes paper-search, paper-reader, and paper-ranker sub-skills into an end-to-end workflow. It processes queries through these modular stages to produce structured JSON outputs suitable for reproducible research and agent reasoning.
Yes, you can produce structured JSON outputs for agent reasoning by executing the literature review workflow. The Skill uses a JSON-first output format designed specifically to support reproducible research and downstream agent processing.
You can verify your literature screening environment by running the paper-reach doctor command. This checks available capabilities and channels, confirming that the host-specific skill modules are properly installed and ready for execution.
The literature review workflow is host-agnostic, featuring an AGENTS.md file, an openai.yaml agent configuration, and a plugin.json file. These thin host-specific metadata modules enable integration across multiple coding-agent runtimes.
A host-agnostic skill for literature screening relies on thin host-specific metadata rather than deep native integrations. It provides consistent structured JSON outputs but depends on the host runtime's ability to discover and execute the root SKILL.md entrypoint correctly.
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