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 code-forge-temple · Agent Tool · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentic-signal safe to install? View the security audit →
Agentic Signal Visual AI Workflow Automation Platform with Local Agent Intelligence ⭐️ Love this project? Please consider starring the repository on GitHub and supporting development to help me continue building amazing features! [. Connect Claude Desk
The self-hosted AI workstation. Autonomous screen agents, 3-tier neural routing, parallel agent swarms, video
Zero-config Claude Code setup with enforced task scaffolding, structured memory, persistent context after comp
An Autonomous AI Software Engineer
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agentic-signal is 🤖 Visual AI agent workflow automation platform with local LLM integration - build intelligent workflows using drag-and-drop interface, no cloud dependencies required.. It is categorized as a Agent Tool with 163 GitHub stars.
agentic-signal is primarily written in TypeScript. It covers topics such as ai-agents, ai-automation, fortheloveofcode.
You can find installation instructions and usage details in the agentic-signal GitHub repository at github.com/code-forge-temple/agentic-signal. The project has 163 stars and 18 forks, indicating an active community.
The top alternatives to agentic-signal on Agent Skills Hub include mcp-n8n-workflow-builder, giselle, n8n-workflow-builder. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: