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citation-forensics

wanshuiyin/Anti-AutoresearchSkill

Citation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? Catches hallucinated references (no paper at the claimed arXiv id/DOI/venue, fabricated authors/year), metadata drift (wrong year/venue/version), and wrong-context citations (a real paper cited for a claim it never makes — or argues against). A hot zone for machine-generated papers. Decidable at L0 (text + canonical sources). Span-anchored to the evidence ledger (claims.json); the executor gathers canonical facts (DBLP / arXiv / DOI), then one FRESH cross-model t

Scanned · 1 to knowSkillSource: GitHub
165 stars +3 this week Updated 18d ago License MIT Context ≈155 tokens always loaded
60popular

Why this score

Stars9/35
Usage (forks)1/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 165 stars are split between them (about 17 each) for scoring.

Popularity score: 60/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 5f5d82421c75, with Cisco's open-source skill-scanner.

What its code does:

  • Runs shell commands Common for dev tools. Read the commands it runs.SKILL.md:696

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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