Run a suite of AI-powered checks on research documents to catch structural, logical, and citation issues before publication, including required sections, figure/table consistency, recommendation support, and online bibliography validation.
Use this skill as the entry point when the user gives a generic, unspecified request to use Draft Detective on their document — e.g. "run draft detective", "analyze my document", "review this document", "check my paper", "what can you check?", "what can you do?". It lists everything Draft Detective offers and asks the user what to run. Do NOT use it when the user has already named a specific check or operation (run that skill directly).
Use this skill to check that a document contains all required top-level sections — About This, Acknowledgements, Methods, Results, Conclusion, References, and a conditional Appendix. Invoke when asked to verify a document's structure or that its required sections/content are present.
Use this skill to check that every figure and table in a document is properly titled/captioned, consistently numbered, referenced in the body text, and that all body-text references resolve to an actual figure or table. Invoke when asked to review or validate the figures and tables in a document for completeness and consistency.
Use this skill to analyze a document for logically invalid inferences — conclusions drawn but not supported by the premises, or reasoning containing logical fallacies. Runs three independent passes and consolidates them into a single, double-checked, severity-ranked list (quoting the key sentence and explaining each flaw). Invoke when asked to check the logical validity of a document's reasoning or arguments.
Use this skill whenever you need to report document review issues. It defines the standard issue format — field names, types, severity levels, line-number conventions, and best practices — used across all agent workflows in this project.
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AI-powered assistant for academic peer review. Built with LangGraph, this tool validates references against claims, flags unsupported assertions, performs literature reviews, and suggests relevant citations — helping reviewers and researchers assess rigor more efficiently.
Note: This project is under active development and not yet ready for production use. The authors will continue to update this repository with the latest work and evaluation results.
Project funded by RAND: https://rand.org/
The main goal of Draft Detective is to assist and streamline the academic peer review process by reducing manual workload and improving the consistency, transparency, and rigor of evaluations.

For detailed development setup instructions, see DEVELOPMENT.md.
Tests are organized by type:
tests/unit/ - Fast, isolated unit teststests/integration/ - Multi-component integration testsevals_inspectai/ - LLM-based evaluations using Inspect AI# Run standard tests (default)
uv run pytest
# Run evaluations (see evals_inspectai/ for available eval suites)
uv run inspect eval evals_inspectai/e2e/reference_validation/reference_validation_e2e.py
See LICENSE file
npx claudepluginhub agencyenterprise/draft-detective --plugin draft-detective论文评审 — 5 人评审团队 + EIC:方法学、领域、统计、批判性、视角多维度审稿
Diagnostic editorial intelligence for writing across contexts — papers, blogs, books, grants. Analyzes, diagnoses, and translates rather than generating from scratch.
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.
Verify academic paper citations: extract references from LaTeX/PDF, check formatting, verify existence via Crossref/Semantic Scholar, and score thematic/semantic relevance.
Citation, prose, figure, and rigor auditing for AI-assisted research drafts.
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).