The page clearly describes a real AI-adjacent developer/security tool with a focused job: scanning a machine for installed agents and related tooling, then reporting capabilities and risks. The README shows usage commands, output examples, supported ecosystems, and the tool’s privacy stance, which is enough evidence for a useful public listing.
The crawl snapshot does not show installation steps beyond npx, release packaging, maintenance signals, or whether the sample output reflects the current scanner behavior across all supported environments.
Last evaluated 2 days ago. Current rank #181. Down 3 spots in the rankings.
Open-source security scanner for AI agents, MCP servers, and agent skills. It auto-discovers installed agent components and checks them for prompt injection, tool poisoning, secrets, malware payloads, and related risks.
Open-source security agent framework for cloud, code, and runtime. It ships 45 built-in agents for AWS, GCP, Azure, Kubernetes, GitHub, and GitLab, and lets users create custom agents in a single markdown file.
Self-hosted AI security testing platform for authorized pentesting and bug bounty workflows, with a local web UI, live agent telemetry, verified findings, and branded PDF reports.
GitHub Marketplace app from NeuraLegion that scans apps and APIs for vulnerabilities, proposes fixes, and validates remediations inside GitHub workflows.
