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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.

  • View repository ↗
  • Python
  • ★ 2,419
  • commit 3db37dafe533
  • scored 2026-11-14
  • scoring prov-4+qual-2+sec-2

AI provenance

40%

explicit

Confidence
95%
Coverage
100%

Estimated share of AI-generated code. Explicit attribution is a lower bound.

Code quality

62/100

weak

Confidence
90%
Coverage
100%

Complexity, duplication, lint density, tests, CI, docs and review process.

Security

75/100

adequate

Confidence
85%
Coverage
100%

Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.

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.

  • Explicitly attributed share (lower bound): 40.4%
  • Unattributed share in AI-consistent velocity bursts: 35.8%
  • Estimated AI-generated share: 40.4%
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
  • Functions: 100; mean complexity 9.7, 90th percentile 23; 17 complex and 1 long functions
  • Duplicated lines: 0.6% of 2,113 compared
  • Tests: 1,833 test lines for 2,606 source lines (ratio 0.70); CI test commands: none detected; 97% of recent source commits also change tests
  • Docs missing or thin: contributing, changelog

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
  • Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits

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

  • star-burst: 2419 stars in 20 days (124/day)

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

  • Source lines: 2,606; test lines: 1,833
Language Lines
Python 4,439

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