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quant-sentiment-ai/claude-equity-research

馃攲 Claude Code Plugin for institutional-grade equity research. Install with /plugin marketplace add. Generates professional buy/sell recommendations with comprehensive fundamental analysis, technical indicators, and risk assessment. Educational use only - not financial advice.

https://github.com/quant-sentiment-ai/claude-equity-research 路 commit 15dfe2b863e9 路 scored 2026-11-13 路 scoring prov-4+qual-2+sec-2

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Scores

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 0 explicit 88% 100%
Code quality 59 weak 90% 100%
Security 87 strong 85% 100%

AI provenance

Explicit AI attribution on 0% of first-party code added; an estimated 0% including velocity signals.

AI tool Attributed commits Lines added
Claude Code 7 0

Current source lines last changed by AI-attributed commits: 0 of 186.

Too few lines in one group to compare finding densities.

Month Lines added Attributed to AI
2026-08 186 0%

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 0.00, no CI test run detected; 0% of function code in complex or long functions; 0% duplicated lines. Weakest area: testing.

Area Score
Complexity (lizard) 100
Duplication 100
Code smells (Opengrep) 37
Tests and CI 15
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a

Security

Security posture is strong: 1 high-severity workflow issues. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 100
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) 80
Posture (policy, updates, signing, lockfiles) 40
OpenSSF Scorecard n/a

Top findings

Severity Finding Location
high zizmor/unpinned-uses: unpinned action reference [confidence high] .github/workflows/star-history.yml:31
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/star-history.yml:31

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 186

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