sage: Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests

by avast · Claude Skill · ★ 119

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

How to install sage

/plugin marketplace add https://github.com/gendigitalinc/sage.git
/plugin install sage@sage

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

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.

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Quick Facts

Stars119
Forks5
LanguageTypeScript
CategoryClaude Skill
LicenseApache-2.0
Quality Score68/100
Open Issues3
Last Updated2026-03-10
Created2026-02-12
Platformsbrowser, claude-code, node, vscode
Est. Tokens~205k

About sage

Sage Safety for Agents — Agent Detection & Response for AI coding assistants Sage is a lightweight security layer that protects AI agents from executing dangerous actions. It intercepts tool calls — shell commands, URL fetches, file writes — and checks them against multiple threat detection layers before they run.

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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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