research-integrity

Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.

Citation integrity as a CI gate: verify BibTeX references against Crossref & OpenAlex, catch hallucinated citations, get alerted when a cited paper is retracted.

Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.

Tool for automatically detecting predatory journals and conferences using multiple authoritative data sources

TRACE protocol for auditing decision-provenance in AI-assisted scientific workflows

Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and reviewable JSON, Markdown, and Excel exports.

Open-source paper auditor that checks scientific claims against cited PDFs, with page-level evidence and explicit retrieval gaps.

科研全流程，只需这一个 Skill 入口。从选题、文献检索、创新点验证、实验统计，到论文写作、审稿回复与毕设答辩，按需推进。内置基础流程，可选接入 18 个专业 Skill，无需全部安装。关键论点关联证据，先核验再写作。支持 Codex / Claude Code。

Linter de integridade científica para Python e Jupyter: detecta data leakage, falta de reprodutibilidade e armadilhas metodológicas. Zero dependências.

A citation-integrity agent for detecting fabricated references, metadata errors, and unsupported claims in LaTeX papers.

A beta version of the GAIDeT Declaration Generator — a lightweight HTML tool to help researchers transparently disclose which scientific tasks were delegated to generative AI, based on the GAIDeT taxonomy.

Distributed integrity infrastructure for collusion-resistant independent verification. Blind peer validation of any verifiable claim — scientific, regulatory, or institutional — recorded as tamper-evident Harmony Records. Built in Rust on Holochain.

Lightweight git hook to detect hallucinated citations in AI-generated text

超级耿同学 — 学术论文多维度异常检测框架。不简单给二值判断，用贝叶斯证据网络对每条证据建模，输出带不确定性的后验造假概率。理工科7维+文科5维+因果推断+图像法医。

Evidence-bounded skill for drafting, rewriting, humanizing, and auditing IEEE/ACM engineering manuscripts.

🪞 Catch false positives/negatives in AI eval claims — pre-registration, fair-baseline, small-sample CI. Zero training, zero deps.

How fast can a coding agent p-hack? Measured: on known-zero data, realistic searches manufacture p<.05 on 33-97% of null draws, in ~1 second each. Instrumented specification-search engine + 11 Claude Code skills for econometric designs; every search leaves a verifiable ledger and an honest p-value. Research and teaching use only.

A small, docs-first workflow for AI-assisted research that keeps claims, sources, uncertainty, review findings and human decisions inspectable.

A CLI and library that verifies academic reference lists against open scholarly databases to detect hallucinated or metadata-corrupted citations.

Local CLI for research-paper reference integrity: fetch reference PDFs, scan for plagiarism & paraphrase, verify citations (flag fabricated + retracted), and auto-fix bib metadata. Stdlib-only.