raven — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

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 8treenet · Codex Skill · ★ 65

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

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About raven

Raven open source · self-hosted · ai harness Website · Live Preview · Discord · 中文 Stop Buildi

agentai-agentdeepseekgolangharnesslangchainopenclaw

Quick Facts

Stars65
Forks5
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score69.2366996454525/100
Open Issues3
Last Updated2026-07-25
Created2026-06-15
Platformsgo
Est. Tokens~16k

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Frequently Asked Questions

What is raven?

raven is Raven is a self-hostable team Agent platform providing isolated workspaces and unified runtimes for multi-agent workflows.. It is categorized as a Codex Skill with 65 GitHub stars.

What programming language is raven written in?

raven is primarily written in Go. It covers topics such as agent, ai-agent, deepseek.

How do I install or use raven?

You can find installation instructions and usage details in the raven GitHub repository at github.com/8treenet/raven. The project has 65 stars and 5 forks, indicating an active community.

What license does raven use?

raven 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 raven?

The top alternatives to raven on Agent Skills Hub include oreilly-ai-agents, Agenvoy, Autono. 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:

View on GitHub → Browse Codex Skill tools