flyto-core — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by flytohub · MCP Server · ★ 483

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is flyto-core safe to install? View the security audit →

About flyto-core

flyto-core A debuggable automation engine. Trace every step. Replay from any point. Try in 30 seconds Screenshots captured. Performance metrics extracted. JSON report saved. Every step traced. <p

ai-agentsbrowser-automationevidenceflyto2mcp-serverreplayworkflow-engine

Quick Facts

Stars483
Forks84
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score70.5640904450584/100
Last Updated2026-09-30
Created2025-12-04
Platformsbrowser, mcp, python
Est. Tokens~16k

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Frequently Asked Questions

What is flyto-core?

flyto-core is AI said it finished. Flyto2 shows the proof.. It is categorized as a MCP Server with 483 GitHub stars.

What programming language is flyto-core written in?

flyto-core is primarily written in Python. It covers topics such as ai-agents, browser-automation, evidence.

How do I install or use flyto-core?

You can find installation instructions and usage details in the flyto-core GitHub repository at github.com/flytohub/flyto-core. The project has 483 stars and 84 forks, indicating an active community.

What license does flyto-core use?

flyto-core is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to flyto-core?

The top alternatives to flyto-core on Agent Skills Hub include openops, web-agent-protocol, Hypha. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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