Security / AI Security
An open-source reference implementation for autonomous vulnerability discovery and remediation with Claude. It includes Claude Code skills for threat modeling, scanning, triage, patching, plus a harness for running a recon → find → verify → report → patch pipeline.
The page clearly describes a real AI-powered security project with concrete capabilities, setup steps, example commands, and a visible workflow for scanning, triage, and patching. It’s useful for AI and security builders, and the repository shows enough detail to support a public listing.
The repo says it is a reference implementation and not maintained, so visitors cannot tell how active it is or whether the pipeline works well on many codebases. The snapshot also doesn’t show benchmarks, release history, or real-world results beyond the documented workflow.
Last evaluated 144 days ago. Current rank #1371. Down 6 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.
An AI harness for long-running penetration tests, bug bounties, and code audits. It combines specialist agents, a Kali runtime, durable state, and second-agent verification for findings.
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.
