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Weizhena/Deep-Research-skills

Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control

https://github.com/Weizhena/Deep-Research-skills · commit 6ce38f60e3f8 · scored 2026-11-14 · scoring prov-4+qual-2+sec-2

unreviewed-ai-risk

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Scores

Unreviewed AI code risk: a large share of this code is explicitly AI-attributed, and its tests or review process are weak while quality or security scores are low.

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 66 explicit 82% 100%
Code quality 42 poor 90% 100%
Security 82 adequate 85% 100%

AI provenance

Explicit AI attribution on 67% of first-party code added; an estimated 67% including velocity signals.

AI tool Attributed commits Lines added
Claude Code 33 1,100

Current source lines last changed by AI-attributed commits: 388 of 833.

Too few lines in one group to compare finding densities.

Month Lines added Attributed to AI
2025-12 270 100%
2026-01 429 69%
2026-03 423 0%
2026-06 357 100%
2026-08 175 100%

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 poor: test-to-source ratio 0.19, no CI test run detected; 54% of function code in complex or long functions; 82% duplicated lines. Weakest area: duplication.

Area Score
Complexity (lizard) 20
Duplication 1
Code smells (Opengrep) 100
Tests and CI 39
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a

Most complex functions:

Security

Security posture is adequate: no high-impact findings. Weakest area: posture.

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

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.

Repository profile

Language Lines
Python 886
Shell 103

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