GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
kereva-scanner is a specialized code scanner that assesses AI prompts and interactions with language models for potential security vulnerabilities and performance inefficiencies.
Good fit when
- When you are developing applications involving AI-generated content or integrations with large language models, to ensure your prompts are secure against attacks such as prompt injection.
- If you need to comply with OWASP LLM Top 10 guidelines, because kereva-scanner specifically addresses these security standards for AI code.
Avoid when
- When your project does not involve interactions with language models or AI-generated content, since the scanner's utility is primarily in evaluating AI-related issues.
- If you are looking for a comprehensive general code linter that checks for coding standard violations or general best practices unrelated to security and performance of LLMs.
- Pricing:
- freemium - The tool is free under the Apache-2.0 license but may have features in a paid version not detailed in the repository.
- Requirements:
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (520d since push)
- As of Sep 9, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 9, 2026
- Security (OSV)
- 2 low (2 low)
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install kereva-scanner PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A code-scanning tool that evaluates AI prompts and LLM interactions for security and performance issues.
Capability facts
- Languages
- python
Source: github.language · Sep 9, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 9, 2026)
pip install -r requirements.txtSource link
Tags
README
Install dependencies pip install r requirements.txt ``` 📄 License This project is licensed under the Apache License 2.0 see the LICENSE file for details.
For agents
This page has a .md twin and JSON over the API.