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vico-png/llamastation

Open-source llama.cpp GUI for Windows — multi-GPU, TurboQuant, headless mode

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  • Python
  • ★ 41
  • commit 35b6470831ef
  • scored 2026-11-13
  • scoring prov-4+qual-2+sec-2

AI provenance

0%

none-detected

Confidence
48%
Coverage
100%

Estimated share of AI-generated code. Explicit attribution is a lower bound.

Code quality

31/100

poor

Confidence
90%
Coverage
100%

Complexity, duplication, lint density, tests, CI, docs and review process.

Security

75/100

adequate

Confidence
85%
Coverage
100%

Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.

  • Repository: https://github.com/vico-png/llamastation
  • Commit: 35b6470831efd300ec345b1542a8c88b944f453c
  • Generated: 2026-11-13T23:58:03+00:00
  • Scorer 0.1.0, scoring prov-4+qual-2+sec-2, report schema v2

Scores

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 0 none-detected 48% 100%
Code quality 31 poor 90% 100%
Security 75 adequate 85% 100%

AI provenance

No AI attribution or AI-consistent velocity signals detected.

  • Explicitly attributed share (lower bound): 0.0%

  • Unattributed share in AI-consistent velocity bursts: 0.0%

  • Estimated AI-generated share: 0.0%

  • Stylometry index: 6.99 per 1,000 lines (narrated steps 0, placeholders 0, assistant phrasing 0, emoji 163). Reported as a signal, not scored.

Month Lines added Attributed to AI
2026-05 8,330 0%
2026-07 600 0%
2026-08 2,464 0%
2026-09 804 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 poor: test-to-source ratio 0.00, no CI test run detected; 39% of function code in complex or long functions; 4% duplicated lines. Weakest area: testing.

Area Score
Complexity (lizard) 31
Duplication 78
Code smells (Opengrep) 12
Tests and CI 0
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a
  • Functions: 387; mean complexity 4.9, 90th percentile 10; 19 complex and 13 long functions
  • Duplicated lines: 4.2% of 10,002 compared
  • Tests: 0 test lines for 11,653 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
  • Docs missing or thin: contributing, changelog

Most complex functions:

Security

Security posture is adequate: 8 high-severity SAST findings. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 80
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard n/a
  • Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits

Top findings

Severity Finding Location
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] llamastation.py:1509
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] llamastation.py:4491
high opengrep/python.lang.security.audit.subprocess-shell-true: Found 'subprocess' function 'run' with 'shell=True'. This is dangerous because this call will spawn the command using a shell process. Doing so propagates current shell settings and variables, which makes it much easier for a malicious actor to execute commands. Use 'shell=False' instead. [confidence medium] llamastation.py:4492
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] llamastation.py:6302
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] llamastation.py:6327
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] llamastation.py:6803
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] llamastation.py:6847
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] llamastation.py:7872
low opengrep/python.lang.security.audit.insecure-transport.requests.request-with-http: Detected a request using 'http://'. This request will be unencrypted, and attackers could listen into traffic on the network and be able to obtain sensitive information. Use 'https://' instead. [confidence medium] llamastation_telegram.py:416
low opengrep/python.lang.security.audit.insecure-transport.requests.request-with-http: Detected a request using 'http://'. This request will be unencrypted, and attackers could listen into traffic on the network and be able to obtain sensitive information. Use 'https://' instead. [confidence medium] llamastation_voice.py:999

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.

Distribution signals

Signals consistent with a repository that exists to distribute a download. They are heuristics, not a verdict; release files were not downloaded or inspected.

Repository profile

  • Source lines: 11,653; test lines: 0
Language Lines
Python 11,653

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