by DenisSergeevitch · Codex Skill · ★ 696
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/DenisSergeevitch/ex-ussr-kinship-research ~/.codex/skills/ex-ussr-kinship-research
git clone https://github.com/DenisSergeevitch/ex-ussr-kinship-research ~/.claude/skills/ex-ussr-kinship-research
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 696 |
| Forks | 69 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-26 |
| Created | 2026-10-25 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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.
These tools work well together with ex-ussr-kinship-research for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: