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DenisSergeevitch/ex-ussr-kinship-research

Evidence-first genealogy skill for AI agents (Codex, Claude Code): church books, civil, military, deportation and repression records across the former USSR. Replies in your language.

https://github.com/DenisSergeevitch/ex-ussr-kinship-research · commit 3db37dafe533 · scored 2026-11-14 · scoring prov-4+qual-2+sec-2

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Scores

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 40 explicit 95% 100%
Code quality 62 weak 90% 100%
Security 75 adequate 85% 100%

AI provenance

Explicit AI attribution on 40% of first-party code added; an estimated 40% including velocity signals.

AI tool Attributed commits Lines added
OpenAI Codex 174 733
Claude Code 87 1,949

Current source lines last changed by AI-attributed commits: 1,500 of 2,606.

Findings per 1,000 lines AI-attributed Other Ratio
Quality 0.0 0.0 n/a
Security 0.667 0.904 0.74x
Month Lines added Attributed to AI
2026-10 5,398 27%
2026-11 1,247 100%

Evidence

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is weak: test-to-source ratio 0.70, no CI test run detected; 54% of function code in complex or long functions; 1% duplicated lines. Weakest area: complexity.

Area Score
Complexity (lizard) 20
Duplication 97
Code smells (Opengrep) 100
Tests and CI 55
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a

Most complex functions:

Security

Security posture is adequate: 2 high-severity SAST findings. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 82
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard n/a

Top findings

Severity Finding Location
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] scripts/build_pdf.py:224
high opengrep/python.lang.security.use-defused-xml: The Python documentation recommends using defusedxml instead of xml because the native Python xml library is vulnerable to XML External Entity (XXE) attacks. These attacks can leak confidential data and "XML bombs" can cause denial of service. [confidence low] scripts/gwar.py:11

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Distribution signals

Signals consistent with a repository that exists to distribute a download. They are heuristics, not a verdict; release files were not downloaded or inspected.

Repository profile

Language Lines
Python 4,439

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