argus — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

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 yessGlory17 · Claude Skill · ★ 114

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

🔒 Is argus safe to install? View the security audit →

About argus

Argus — Claude Code Agent Monitoring & Observability on VSCode. ⭐ If Argus helps you ship better Claude Code sessions, a GitHub Star goes a long way. Qui

aiai-agentsanthropicartificial-intelligenceclaudeclaude-codedebuggerdebugger-extensiondeveloper-toolsmachine-learning

Quick Facts

Stars114
Forks9
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score75.1371475973835/100
Open Issues1
Last Updated2026-09-21
Created2026-03-01
Platformsclaude-code, node, vscode
Est. Tokens~17k

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Frequently Asked Questions

What is argus?

argus is Claude Code Agent Monitoring & Observability on VSCode. It is categorized as a Claude Skill with 114 GitHub stars.

What programming language is argus written in?

argus is primarily written in TypeScript. It covers topics such as ai, ai-agents, anthropic.

How do I install or use argus?

You can find installation instructions and usage details in the argus GitHub repository at github.com/yessGlory17/argus. The project has 114 stars and 9 forks, indicating an active community.

What license does argus use?

argus is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to argus?

The top alternatives to argus on Agent Skills Hub include claudepro-directory, claude-code-open, claude-emporium. 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 Claude Skill tools