{"skill":{"slug":"paper-card-analyzer","displayName":"Paper Card Analyzer","summary":"Analyze `paper-parse` outputs and generate a research-oriented paper card directly in natural language. Use this skill after paper parsing when you need a st...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":271,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773160502241,"updatedAt":1777525816189},"latestVersion":{"version":"1.0.0","createdAt":1773160502241,"changelog":"Initial release of \"paper-card-analyzer\": Automates generation and iterative refinement of structured research paper summaries from parsed paper artifacts.\n\n- Creates detailed \"paper card\" summaries by analyzing `paper-parse` outputs (`*_content.md`, `*_parsed.json`).\n- Produces and saves standardized card sections (snapshot, contributions, method, results, limitations, etc.) in both Markdown and JSON formats.\n- Includes a revision workflow with user feedback, change tracking, and versioned logs in `paper-card-feedback.md`.\n- Enforces strict reliance on extracted evidence; never invents claims, metrics, or datasets not present in source files.\n- Marks uncertainty explicitly and flags evidence gaps or unsupported sections.\n- Ensures consistent section order, factual writing style, and explicit separation of author vs. analyst statements.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"chen-li-17","userId":"publishers:chen-li-17","displayName":"Chen-Li-17","image":"https://avatars.githubusercontent.com/u/37493896?v=4"},"moderation":null}