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briangonzalez/rgbaster.js

馃帹 A simple library for extracting dominant colors from images.

https://github.com/briangonzalez/rgbaster.js 路 commit ac08054ec65e 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 none-detected 59% 100%
Code quality 70 adequate 90% 100%
Security 79 adequate 85% 100%

AI provenance

No AI attribution or AI-consistent velocity signals detected.

Month Lines added Attributed to AI
2013-12 195 0%
2014-01 6 0%
2014-06 77 0%
2016-04 8 0%
2016-05 1 0%
2017-01 38 0%
2018-05 101 0%
2018-11 333 0%
2018-12 28 0%
2019-01 28 0%
2019-02 7 0%

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 adequate: test-to-source ratio 1.00, no CI test run detected; 0% of function code in complex or long functions; 0% duplicated lines. Weakest area: process.

Area Score
Complexity (lizard) 100
Duplication 100
Code smells (Opengrep) 100
Tests and CI 47
Documentation 40
Type safety 40
Process (Scorecard review/maintenance) 20

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) 100
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard 25

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
TypeScript 200
JavaScript 8

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