Aegis Integrity — AI skill for Claude Code

AEGIS Academic Integrity Checker

**Open-source, offline, bias-aware academic integrity analysis.** Documents are processed entirely on your own hardware and never uploaded anywhere. Citation checks may query Crossref/OpenAlex with reference metadata (titles, authors, DOIs) when online verification is enabled. Analyzes plagiarism, AI-generated content, citation hallucinations, ghostwriting, predatory references, and essay mill patterns in a single pipeline -- plus an experimental token-distribution heuristic for LLM watermark research. **Plagiarism detection is corpus-based, not a live web/database crawl:** AEGIS compares your document against a corpus of papers *you supply* (your own prior works, a downloaded reference set, etc. -- see [Building a Corpus Index](HOWTO.md#9-building-a-corpus-index)). With no corpus loaded, plagiarism modules correctly report "no prior works loaded" rather than silently finding nothing to flag -- that isn't a scan failure. Results are a supporting signal for human review, not a determination of misconduct.

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Get Started

Pick the way you want to use AEGIS. All three run on your own computer.

**1. In your browser (easiest).** Install once, then open the web app:

pip install "aegis-integrity[ml] @ git+https://github.com/sunilgentyala/aegis-integrity"
aeg