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eli1982/codex-bridge-desktop

Local Codex and ChatGPT bridge lifecycle app

https://github.com/eli1982/codex-bridge-desktop · commit 4c4bb4967bc1 · 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) 0 none-detected 42% 100%
Code quality 65 adequate 90% 100%
Security 72 adequate 85% 100%

AI provenance

No AI attribution or AI-consistent velocity signals detected.

Month Lines added Attributed to AI
2026-10 2,345 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 0.08, CI runs tests; 12% of function code in complex or long functions; 0% duplicated lines. Weakest area: lint.

Area Score
Complexity (lizard) 70
Duplication 100
Code smells (Opengrep) 4
Tests and CI 69
Documentation 100
Type safety 40
Process (Scorecard review/maintenance) n/a

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) 40
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) 91
Posture (policy, updates, signing, lockfiles) 40
OpenSSF Scorecard n/a

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] unix/bridge.py:160
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] unix/bridge.py:284
medium opengrep/python.lang.security.audit.dynamic-urllib-use-detected: Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control the URLs, or consider using the 'requests' library instead. [confidence low] scripts/ci_build_gate.py:32
medium opengrep/python.lang.security.audit.insecure-file-permissions: These permissions 0o700 are widely permissive and grant access to more people than may be necessary. A good default is 0o644 which gives read and write access to yourself and read access to everyone else. [confidence medium] unix/bridge.py:33
medium opengrep/python.lang.security.audit.dynamic-urllib-use-detected: Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control the URLs, or consider using the 'requests' library instead. [confidence low] unix/bridge.py:101
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/checks.yml:23
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/checks.yml:36
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/checks.yml:66
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/checks.yml:101
low zizmor/excessive-permissions: overly broad permissions [confidence high] .github/workflows/checks.yml:10

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
PowerShell 1,304
Python 714
C# 195
Shell 114

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