
Vahtian
io.github.heidihelenaPublished by GitHub account heidihelenav0.2.0Updated Oct 24, 2026
Freeze a corpus, check it for drift, keep a hash-chained audit ledger. Local-first, stdlib-only.
Overview
A local-first tool for freezing a research corpus, detecting drift, and keeping a hash-chained audit ledger of citation checks.
- What you can do
- Vahtian supports research citation integrity by freezing a corpus, checking it for drift, and maintaining a hash-chained audit ledger. Its described workflow records whether a cited source supports a specific claim through a blinded human, AI, and adjudication process with a decision-gated, undoable write. It is described as local-first and stdlib-only, and it does not decide scientific truth.
- When to use it
- Use it when you need an auditable record of whether manuscript claims are supported by their cited sources, or when you want to freeze a corpus and detect later changes. It is aimed at researchers and groups that need traceable citation checks rather than automated truth judgments.
- Requirements
- Runs as a local process on the user's machine via the PyPI package vahtian over stdio. No authentication, environment variables, or headers are declared. Desktop only; no web executable.
Installation
In SourceWeft
- Open Vahtian in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
vahtian
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 product ladder
Start — check the claims in your own manuscript
- CiteVahti — check that each claim is supported by the source cited for it (free beta): https://github.com/heidihelena/citevahti
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 withnpm 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.
Source: README.md at commit c917626
Tools
0Version history
1- v0.2.0LatestSep 16, 2026
Score
50% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Tools listed15 pts
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- DescriptionRequired15 pts
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