by sunrisefromdark · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AI Agent trend judgment with multi-observer sources, emerging-project discovery, scoring rationale, weekly decisions, and tool fallback.
| Stars | 50 |
| Forks | 4 |
| Language | HTML |
| Category | Agent Tool |
| Quality Score | 43.8997091292459/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-08 |
| Created | 2026-06-10 |
| Est. Tokens | ~15k |
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agentRadar is AI Agent trend judgment with multi-observer sources, emerging-project discovery, scoring rationale, weekly decisions, and tool fallback.. It is categorized as a Agent Tool with 50 GitHub stars.
agentRadar is primarily written in HTML.
You can find installation instructions and usage details in the agentRadar GitHub repository at github.com/sunrisefromdark/agentRadar. The project has 50 stars and 4 forks, indicating an active community.
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.
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