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ARXIV.PDF?CLAIM UNVERIFIEDskeptic.run()[1] CLAIM .... OK[2] METHOD ... ?[3] FLAWS .... 3VERDICT: WEAK100% LOCAL
Capstone · 100% Local

Skeptic Agent

Adversarial Research Verification Engine

A local, privacy-first AI agent that reads research papers like a hostile peer reviewer — deconstructing claims, auditing methodology and surfacing hidden flaws. Zero cloud calls.

> What I built

  • Runs three sequential adversarial audits on an uploaded PDF: key assertion and evidence strength, methodology tracker, and hidden flaws with targeted peer-review questions.
  • Verification loop with JSON repair, strict schema validation and auto re-prompting; descriptive schema prompts cut malformed responses from the 1.5B model by over 90%.
  • Live progress streams to an on-page terminal over NDJSON; dashboard built with Three.js and GSAP, all assets vendored so the page makes no external requests.

> Tech stack

  • Python
  • FastAPI
  • Ollama (qwen2.5)
  • PyMuPDF
  • Three.js
  • GSAP
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