What does vibescan-ai do?

Vibescan-ai focuses on detecting security vulnerabilities in code generated by AI models. It is catalogued under LLM eval & observability on PulseGate.

Who should use vibescan-ai?

vibescan-ai is an open-source project built for software security engineers.

Does vibescan-ai have a free plan?

Yes — vibescan-ai is open source under the MIT license and free to use.

What platforms does vibescan-ai run on?

vibescan-ai runs on the web and the command line.

Is vibescan-ai still maintained?

The GitHub repository shows 54 commits in the last 90 days.

What projects are similar to vibescan-ai?

Similar projects tracked by PulseGate include codescanai, vibesafex, and vibe-code-check.

Is vibescan-ai open source?

Yes — vibescan-ai is open source under the MIT license, developed on GitHub.

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vibescan-ai

github.comInfrastructure

vibescan-ai is an open-source command-line tool that scans AI-generated code for potential security vulnerabilities. It is designed for software security engineers and developers who want to ensure the safety of code produced by AI systems.

Open SourceMITWebCLI

Visit github.com

Overview

4 features

vibescan-ai sits in PulseGate's LLM eval & observability category. It focuses on detecting security vulnerabilities in code generated by AI models. vibescan-ai is an open-source project aimed at software security engineers. The project is open source (MIT). It runs on the web and the command line.

vibescan-ai first shipped in 2026. Development happens publicly on GitHub with 54 commits in the last 90 days. Key capabilities include security scanning, AI code analysis, and CLI tool.

Summary written by a language model from the project’s public pages.

Security scanning
AI code analysis
CLI tool
MIT license

Built with & integrations

Runs on

BrowserCLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jun · 23:14 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about vibescan-ai

What does vibescan-ai do?: Vibescan-ai focuses on detecting security vulnerabilities in code generated by AI models. It is catalogued under LLM eval & observability on PulseGate.
Who should use vibescan-ai?: vibescan-ai is an open-source project built for software security engineers.
Does vibescan-ai have a free plan?: Yes — vibescan-ai is open source under the MIT license and free to use.
What platforms does vibescan-ai run on?: vibescan-ai runs on the web and the command line.
Is vibescan-ai still maintained?: The GitHub repository shows 54 commits in the last 90 days.
What projects are similar to vibescan-ai?: Similar projects tracked by PulseGate include codescanai, vibesafex, and vibe-code-check.codescanai vibesafex vibe-code-check
How long has vibescan-ai been around?: vibescan-ai first shipped in 2026.
Is vibescan-ai open source?: Yes — vibescan-ai is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: software security engineers
Model: Open source
Solves: Detecting security vulnerabilities in code generated by AI models.

Registered as

GitHub: tanikush/vibescan
PyPI: vibescan-ai

Developer

Tanikush

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 17 Jun 2026
Commits 90d: 54
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v1.0.0 · 18 May 2026

Index record

Identity confidence: Low · 64
Indexed: 17 Jun 2026
Lifecycle: Alive
Last seen: 17 Jun 2026

Identity audit (12)

Slug: vibescan-ai-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/tanikush/vibescan

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