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Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

actionsagentic-aiagentic-workflowsaiai-agentsai-code-reviewai-codingautomationcicdclaude-code

Quick Facts

Stars66
Forks6
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score62/100
Open Issues6
Last Updated2026-09-29
Created2026-04-28
Platformsclaude-code, node
Est. Tokens~16k

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OpenRabbit free, open-source, self-hosted GitHub PR reviewer that replaces coderabbit. :copilot: See Example PR Thanks to the contributors and maintainers for making OpenRabbit possible. -- Overview OpenRabbit is a free (you can even get a free llm api explained below), open-source, self-hosted GitHub Pull Request reviewer.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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