Vahtian

io.github.heidihelena由 GitHub 帳號 heidihelena 發布v0.2.0更新於 Oct 24, 2026

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

已驗證STDIO僅桌面知識與記憶資料與分析

概覽

AI 產生的概覽

一個本地優先的工具,用於凍結研究語料庫、偵測漂移,並維護引用查核的雜湊鏈審計帳本。

可以做什麼
Vahtian 透過凍結語料庫、檢查漂移並維護雜湊鏈審計帳本來支援研究引用完整性。其描述的工作流程透過盲審的人類、AI 與裁決流程,記錄被引來源是否支持某一具體主張,並帶有決策閘控、可復原的寫入。它被描述為本地優先且僅使用標準函式庫,且不判定科學真理。
適用情境
當你需要可審計地記錄手稿主張是否由其引用來源支持時,或當你希望凍結語料庫並偵測後續變化時使用。它面向需要可追溯引用查核而非自動真理判斷的研究人員與團隊。
執行需求
透過 PyPI 套件 vahtian 以 stdio 在使用者機器上作為本地程序運行。未宣告認證、環境變數或標頭。僅限桌面端;無網頁可執行版本。
安裝前請注意
README 描述了決策閘控、可復原的寫入以及雜湊鏈審計軌跡,因此請審查寫入內容及帳本儲存方式。它明確聲明不判定科學真理;應將其輸出視為評分與裁決記錄,而非真理結論。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Vahtian,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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.

來源:README.md,提交 c917626

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.2.0最新Sep 16, 2026

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