Vahtian

io.github.heidihelena由 GitHub 账号 heidihelena 发布v0.2.0更新于 Oct 24, 2026

Freeze a corpus, check it for drift, keep a hash-chained audit ledger. Local-first, stdlib-only.

已验证STDIO仅桌面知识与记忆数据与分析

概览

AI 生成的概览

一个本地优先的工具,用于冻结研究语料库、检测漂移,并维护引用核查的哈希链审计账本。

可以做什么
Vahtian 通过冻结语料库、检查漂移并维护哈希链审计账本来支持研究引用完整性。其描述的工作流通过盲审的人类、AI 与裁决流程,记录被引来源是否支持某一具体主张,并带有决策门控、可撤销的写入。它被描述为本地优先且仅使用标准库,且不判定科学真理。
适用场景
当你需要可审计地记录手稿主张是否由其引用来源支持时,或当你希望冻结语料库并检测后续变化时使用。它面向需要可追溯引用核查而非自动真理判断的研究人员与团队。
运行要求
通过 PyPI 包 vahtian 以 stdio 在用户机器上作为本地进程运行。未声明认证、环境变量或请求头。仅限桌面端;无网页可执行版本。
安装前请注意
README 描述了决策门控、可撤销的写入以及哈希链审计轨迹,因此请审查写入内容及账本存储方式。它明确声明不判定科学真理;应将其输出视为评分与裁决记录,而非真理结论。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Vahtian,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

vahtian

[DOI]

Company site for Vahtian — research citation integrity.

Vahtian checks whether each manuscript claim is supported by the evidence cited for it — through a blinded human → AI → adjudication workflow with a decision-gated, undoable write and a hash-chained audit trail.

Vahtian does not decide scientific truth. It records whether a cited source supports a specific claim: who rated it, what the AI advised, how disagreements were adjudicated, and what was finally written.

Human-first. AI-second. Auditable. Free local tools for researchers; infrastructure for journals, guideline groups, and research organizations.

[The Vahtian tool family: Start (CiteVahti — check your own manuscript), Prepare (StudyVahti, MethodVahti, DictVahti, MatchVahti-Lite — get the study right first) and Scale (ReviewVahti, ExtractVahti, GuidelineVahti, AtlasVahti — systematic-review infrastructure), all standing on one evidence record: human rates first, blinded AI second, adjudicated, hash-chained, provenance or flag. Records whether a cited source supports a specific claim — never scientific truth.]

The product ladder

Start — check the claims in your own manuscript

Prepare — get the study and its evidence right before analysis

  • StudyVahti — plan a defensible study before data collection (free · live): /studyvahti
  • MethodVahti — justify your sample size → COREQ/SRQR methods PDF (free beta for individuals, project licence for institutions): /methodvahti
  • DictVahti — clean the REDCap data dictionary before analysis (free · live): /dictvahti
  • MatchVahti-Lite — capture citation-worthy evidence from abstracts (free · live): /matchvahti-lite

Scale — systematic-review infrastructure

  • ReviewVahti — inter-rater reliability for screening (Cohen's κ / Krippendorff's α) (live): /reviewvahti
  • ExtractVahti — DTA data extraction + risk-of-bias (QUADAS-2/-C, PROBAST-AI) → tidy CSV + RoB traffic-light SVG for R; multi-extractor reconcile (κ / α); sealed agent aid (early access): /extractvahti
  • GuidelineVahti — panel consensus, RAND/UCLA + GRADE (early access): /guidelinevahti
  • AtlasVahti — de-identified validation-pattern analytics (roadmap)

Static pages (one index.html per product, plus 404.html and sitemap.xml), deployed via Cloudflare to vahtian.com. No trackers, no external dependencies.

vahti (Finnish) = sentinel / guard — the watch over what gets cited.

Brand & social tooling

  • brand/STYLE.md — the canonical brand spec; brand/PHILOSOPHY.md — the mark system.
  • brand/cards/ — 1200×630 Open Graph cards, one per page. Regenerate with npm i @resvg/resvg-js && node brand/cards/generate.mjs.
  • Screenshot-led product covers are generated from their real interface previews with node brand/cards/generate-product-covers.mjs (uses the bundled preview browser).
  • brand/carousel/ — self-contained LinkedIn carousel builder (noindex, zero external requests). Preset decks per product, theme & format switching, post-caption drafts, deck save/load as JSON, export as PDF (LinkedIn document post) or per-slide PNGs.

MethodVahti package

methodvahti/ is a self-contained Python package (Apache-2.0) for qualitative heterogeneity scoring + a COREQ/SRQR methods-report PDF. See methodvahti/README.md. Tests: cd methodvahti && python -m pytest tests/ -v.

来源:README.md,提交 c917626

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.2.0最新Sep 16, 2026

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