AgentIndex icon
AgentIndex
skylos logo
skylos
★ 848
vs
aguara logo
aguara
★ 94

skylos vs aguara

skylos: Skylos is a privacy-first, hybrid static analysis tool designed for Python, TypeScript, and Go. It excels at detecting dead code, critical security vulnerabilities like SQL injection and hardcoded secrets, and various code quality issues, bridging traditional static analysis with advanced AI agent capabilities.; aguara: Aguara is a security scanner designed for AI agent skills and MCP servers, capable of detecting prompt injection, data exfiltration, and supply-chain attacks before deployment. It performs static analysis with a 4-layer engine and 173 detection rules without requiring API keys, cloud access, or LLMs.

01

TL;DR

skylos logo
skylosRAG / Knowledge Base · ★ 848

Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings.

Read skylos full review →
aguara logo
aguaraRAG / Knowledge Base · ★ 94

Pre-deployment security scanning of AI agent skills and MCP server configurations.

Read aguara full review →
02

Side-by-Side Comparison

Field
skylos logoskylos
aguara logoaguara
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 848
★ 94
License
NOASSERTION
Apache-2.0
Install Command
pip install skylos
curl -fsSL https://raw.githubusercontent.com/garagon/aguara/main/install.sh | bash
Updated
Today
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Static Analysis, SAST, Dead Code Detection
AI Security, Static Analysis, Prompt Injection
03

Features

skylos logoskylos
01Hybrid Static Analysis with AI Agents: Combines traditional static analysis with optional local/cloud LLMs to eliminate false positives and find deep logic bugs.
02Comprehensive Code Auditing: Detects dead code, security vulnerabilities (SAST including SQLi, SSRF, secrets), and code quality issues (complexity, nesting) across multiple languages.
03Automated Remediation & CI/CD Integration: Offers automated fixes and end-to-end remediation via AI agents, and seamlessly integrates into CI/CD pipelines for PR guarding, annotations, and quality gates.
04Multi-Language Support & Privacy-First: Supports Python, TypeScript, and Go with 100% local analysis options, ensuring code privacy.
aguara logoaguara
01173 detection rules across 13 categories, including prompt injection, data exfiltration, and supply-chain attacks.
024-layer analysis engine combining pattern matching, NLP-based markdown analysis, taint tracking, and rug-pull detection.
03Confidence scoring for findings (0.0-1.0) and actionable remediation guidance.
04CI-ready with JSON, SARIF, and Markdown output formats, plus GitHub Action support.
05Supports scanning configurations from 17 MCP clients, including Claude Desktop, Cursor, and VS Code.
04

Use Cases

skylos logoskylos
↳Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings.
↳Deep Security Auditing of Python, TypeScript, and Go Applications: Perform comprehensive SAST, including taint analysis, secrets detection, and vulnerability checks, across multi-language repositories.
↳Intelligent Dead Code Elimination and Codebase Optimization: Accurately identify and safely remove unreachable functions, classes, and unused imports, leveraging hybrid analysis to distinguish true dead code from framework magic.
↳AI-Assisted Code Remediation and PR Review: Utilize AI agents for context-aware audits, automated fixes, and end-to-end remediation, including generating and validating fixes, and posting inline PR review comments.
aguara logoaguara
↳Pre-deployment security scanning of AI agent skills and MCP server configurations.
↳Continuous integration (CI) pipelines for automated security checks on code changes.
↳Auditing and discovery of existing MCP client configurations and potential threats on a machine.
↳Custom rule creation in YAML for project-specific security requirements.
↳Embedding the scanner as a Go library within other tools, like Aguara MCP.
FAQ

FAQ

What is the difference between skylos and aguara?
Both skylos and aguara are in the RAG / Knowledge Base category. skylos has 848 stars, while aguara has 94 stars.
Which is better, skylos or aguara?
The best choice depends on your use case. Choose skylos if Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings., and aguara if Pre-deployment security scanning of AI agent skills and MCP server configurations..
Is skylos free or open source?
Yes, skylos is open source on GitHub (NOASSERTION).
Is aguara free or open source?
Yes, aguara is open source on GitHub (Apache-2.0).
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