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pebbles-hq/pebbles

A GUI framework for Rust, built from handpicked ideas — a widget model in the spirit of Flutter, reactivity like SolidJS, styling like Tailwind, and pure-Rust GPU rendering on Vello.

https://github.com/pebbles-hq/pebbles · commit cf775b95efc2 · scored 2026-11-13 · scoring prov-4+qual-2+sec-2

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Scores

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 48 explicit 95% 100%
Code quality 70 adequate 90% 100%
Security 80 adequate 85% 100%

AI provenance

Explicit AI attribution on 48% of first-party code added; an estimated 48% including velocity signals.

AI tool Attributed commits Lines added
Claude Code 315 117,671

Current source lines last changed by AI-attributed commits: 82,760 of 139,317.

Findings per 1,000 lines AI-attributed Other Ratio
Quality 0.278 0.088 3.16x
Security 0.23 0.053 4.34x
Month Lines added Attributed to AI
2026-08 51,059 38%
2026-09 85,360 0%
2026-10 107,185 92%

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 adequate: test-to-source ratio 0.19, CI runs tests; 17% of function code in complex or long functions; 4% duplicated lines. Weakest area: process.

Area Score
Complexity (lizard) 60
Duplication 79
Code smells (Opengrep) 89
Tests and CI 84
Documentation 100
Type safety 40
Process (Scorecard review/maintenance) 0

Most complex functions:

Security

Security posture is adequate: 8 known vulnerabilities in 8 dependencies; 8 high-severity SAST findings. Weakest area: ci actions.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 98
Vulnerable dependencies (OSV) 67
CI workflows (zizmor) 50
Posture (policy, updates, signing, lockfiles) 80
OpenSSF Scorecard 67

Top findings

Severity Finding Location
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' 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/desktop-run.py:89
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/desktop-run.py:362
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' 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/desktop-run.py:418
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/desktop-run.py:427
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/desktop-run.py:527
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' 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/run-for.py:21
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' 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] tools/bench-compare/run.py:60
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' 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] tools/bench-compare/run.py:97
medium osv/GHSA-wrw7-89jp-8q8g: [email protected] (crates.io) is affected by RUSTSEC-2024-0429, GHSA-wrw7-89jp-8q8g Cargo.lock
medium osv/RUSTSEC-2026-0459: [email protected] (crates.io) is affected by RUSTSEC-2026-0459 Cargo.lock
medium osv/RUSTSEC-2024-0370: [email protected] (crates.io) is affected by RUSTSEC-2024-0370 Cargo.lock
medium osv/RUSTSEC-2026-0486: [email protected] (crates.io) is affected by RUSTSEC-2026-0486 Cargo.lock
medium osv/RUSTSEC-2026-0192: [email protected] (crates.io) is affected by RUSTSEC-2026-0192; also in fuzz/Cargo.lock Cargo.lock
medium osv/RUSTSEC-2026-0371: [email protected] (crates.io) is affected by RUSTSEC-2026-0371 Cargo.lock
medium osv/RUSTSEC-2026-0370: [email protected] (crates.io) is affected by RUSTSEC-2026-0370 Cargo.lock
medium osv/RUSTSEC-2026-0372: [email protected] (crates.io) is affected by RUSTSEC-2026-0372 Cargo.lock
medium zizmor/dependabot-cooldown: insufficient cooldown in Dependabot updates [confidence high] .github/dependabot.yml:5
medium zizmor/dependabot-cooldown: insufficient cooldown in Dependabot updates [confidence high] .github/dependabot.yml:22
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/bench.yml:60
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/bench.yml:144
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:43
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:62
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:108
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:164
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:183

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
Rust 163,398
Python 1,879
Dart 278
JavaScript 123
Shell 69

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