DenisSergeevitch/ex-ussr-kinship-research

ex-USSR Kinship Research

An evidence-first genealogy skill for AI agents (Codex, Claude Code and other Agent Skills runtimes). It turns an agent into a careful family-history researcher for the former USSR, the Soviet Union and the Russian Empire. The agent reads church books and civil records, military, deportation and repression files, and unindexed archive scans. It keeps every find traceable, separates records from interpretation and says plainly what is proven and what is not.

Coverage includes all 15 former Soviet republics: Russia, Ukraine, Belarus, Moldova, Estonia, Latvia, Lithuania, Georgia, Armenia, Azerbaijan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan. Archives are chosen by the event's historical jurisdiction and current record custodian; a regional example does not replace local research.

The skill's instructions are written in Russian, but the agent talks to you in your language: English, Ukrainian, Russian, Polish, German and so on. It quotes sources in their original spelling with a translation, and builds search queries in the languages of the records.

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What it does

• Case intake and scope. One research question, known facts, who may be alive, what is off-limits.
• Reproducible registers. Persons, artifacts, claims, relationships and a full search log (CSV), plus a final report template.
• Historical jurisdiction model. It resolves every event to the state, province, district, parish or civil registry as of the event date, not today's map.
• Name-variant matrices. Pre-reform Russian, Ukrainian, Polish, Romanian, German and Yiddish forms, patronymics, maiden names and transliterations.
• Source strategy. Originals first, then official catalogs, indexes, published document collections, and only then trees and forums as leads.
• Evidence protocol. Claims get explainable statuses, not percentages: hypothesis, single-source, corroborated, strongly-corroborated, contradicted, unresolved. Copies and mirrors of one record share an independence_group, so they never count as independent proof.
• Identity resolution. Namesakes stay separate person_ids until distinguishing evidence appears: house number, parents, godparents, exact birth date or military unit.
• Audit script. It checks referential integrity and flags weak corroboration before you write conclusions. An independence group counts only when a cited artifact belongs to it, so corroboration cannot be declared into existence. It also checks the final report: every cited ID must exist in the registers and every status must match them. A summary shows what is still uncorroborated or marked illegible.
• Institutional requests. Draft and, when authorized, send focused requests to archives, libraries, universities and museums using available email or official web tools. If needed, offer a supported mail integration or a ready-to-send letter. Record the outcome, avoid duplicate sends and treat replies as evidence. See correspondence guidance.
• Final report. Every relationship is laid out edge by edge, with contradictions, failed searches and concrete next steps.
• Targeted indexed-record research. Find relevant FamilySearch books by place or DGS through an existing lawful browser session, view specific records, and retain only evidence fragments permitted by the source. Local helpers search relatives, witnesses and name variants in saved fragments, preserving their context and file checksums. Workflow and coverage limits.
• WWI source search. Search GWAR reports, hospital and award records by person or locality, compare settlement spellings across saved cards to decode a distorted place name, then locate the source image. Workflow. Both helpers feed the existing artifact register and search log; they do not establish identities or kinship automatically.

Release history: changelog.

Install

With Node.js installed, you can use the optional Skills CLI:

npx skills add https://github.com/DenisSergeevitch/ex-ussr-kinship-research

The CLI lets you choose your agent and installs into the current project by default; add -g for a personal installation across projects. See its documentation for current Node.js requirements.

Alternatively, clone the repository directly into your agent's skills folder:

# Codex
git clone https://github.com/DenisSergeevitch/ex-ussr-kinship-research ~/.codex/skills/ex-ussr-kinship-research
Claude Code (personal skills)
git clone https://github.com/DenisSergeevitch/ex-ussr-kinship-research ~/.claude/skills/ex-ussr-kinship-research

For a single project, put the folder in .claude/skills/ inside the repository. The scripts need only Python 3 and the standard library; build_pdf.py also needs a Chromium-based browser.

Use

Describe the family question. The agent works from available information and continues while questions or access requests await a reply. For example:

• "My great-grandfather was exiled to Kazakhstan in the 1930s. Help me find his parents in church records."
• "Here are scans of a marriage certificate and a soldier card. Check whether they are the same person and build the evidence chain."
• "Find the parish and the right FamilySearch film for a village in Podolia in the 1890s and read the births for the surname X."

Keep private case data outside the skill's Git checkout. From the skill folder:

python scripts/init_case.py --case-dir ~/kinship-cases/my-case --research-question "Who were Maria's parents?" --subject-label "Maria"
python scripts/hash_artifact.py ~/kinship-cases/my-case/scans/marriage-1902.jpg   # SHA-256 for every saved artifact
python scripts/audit_evidence.py --case-dir ~/kinship-cases/my-case             # check registers before the final report
python scripts/build_pdf.py --html ~/kinship-cases/my-case/pdf-source/report.html --out ~/kinship-cases/my-case/report.pdf

init_case.py refuses to create a case inside the skill folder, including with --force. Git ignores common legacy case-folder names as an additional safeguard; check staged files before contributing, especially if moving an existing case.

build_pdf.py needs Chrome, Chromium or Edge installed (or CHROME_PATH). With --png-dir it also renders pages to PNG for review if pypdfium2 is available.

Use static HTML with local or embedded images. Active HTML and network image sources are rejected; source links remain clickable. A failed render preserves any existing output PDF.

Repository layout

SKILL.md                         main instructions (workflow, hard rules, language policy)
references/
  source-strategy.md             source hierarchy, query patterns, catalogs, archive requests
  correspondence.md              recipients, mail integration, authorized sending and replies
  evidence-protocol.md           artifact assessment, statuses, identity resolution, conflicts
  ex-ussr-locale-guide.md        jurisdictions, name variants, calendars, record types by period
  browser-and-captcha.md         browsing, sign-in, one CAPTCHA attempt and hand-off, rate limits
  privacy-and-safety.md          living people, minors, DNA, sensitive findings
  seed-sources.md                curated starting resources with reliability classes
  field-lessons.md               practical lessons from a real case
  changelog.md                   release history
  photo-search.md                finding, identifying, dating and storing photos
  habsburg-galicia-bukovina.md   Galicia and Bukovina under the Habsburgs and after
  chechnya-deportation.md        Chechen families: 1944 deportation, special settlement, names and renamed villages
bessarabia-moldova.md          Bessarabia, Moldova, MASSR and the Dniester borderland
  familysearch-indexes.md       targeted browser research, permitted local snapshots and coverage
  ww1-search.md                 GWAR WWI person/locality search and source-image locators
assets/                          case intake, CSV registers, final report template,
                                 photos README template, research-state template, readable PDF template (report-pdf.template.html)
scripts/                         init_case.py, hash_artifact.py, audit_evidence.py, build_pdf.py
                                 familysearch.py, gwar.py, register_search.py and shared local analysis modules
evals/discovery-and-logic.yaml   trigger and reasoning test cases
tests/                           unit tests (python3 -m unittest discover -s tests)

Responsible use

• Family history, not surveillance. The skill refuses to look up current addresses, phones or accounts of living people, and it minimizes their data in reports.
• Access checks. The agent may try an actual CAPTCHA once through normal controls in its internal browser when supported and allowed. If user action is needed, it opens the relevant tab when possible and provides the URL and required action; sign-ins are done by the user. No external solvers, protection bypass, paywall, geo-block or rate-limit evasion, or leaked databases. See browser guidance.
• No uploads of your documents or DNA data to third-party services without your explicit consent.
• Sensitive findings (deportation, repression, adoption, DNA surprises) are reported neutrally and only as far as the question requires.
• Authorized correspondence. The skill can send institutional requests through available tools when the user has authorized them; it does not ask again for an already authorized send. Connecting a mailbox alone does not authorize sending, attachments or paid services. Verify the current official contact and procedure, and keep credentials and private case correspondence outside the skill repository.

Contributing

New sources are welcome in references/seed-sources.md. Record verified owner, jurisdiction, collection, provenance, IDs, access, restrictions and check date where known; mark gaps instead of guessing. Keep personal data out of examples.

Source-search helpers use Python's standard library and the existing case registers. Run python3 -m unittest discover -s tests to check local parsing, GWAR checkpoints, access failures, unresolved coverage and evidence registration against synthetic data. FamilySearch discovery and targeted viewing use the existing lawful browser session; its Python helpers analyze saved fragments. Keep private research files outside this checkout.

License

MIT © 2026 Denis Shiryaev.

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Maintained by Denis Shiryaev (@DenisSergeevitch).