OpenClaw Security Scanner
AI Security Scanner for OpenClaw Agent Deployments
What it does
OpenClaw Security Scanner helps teams detect risky configs and unsafe third-party skills before production. Our AI Security Engine prioritizes vulnerabilities and delivers practical remediation guidance in minutes.
Does the same job
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StopCrabs - Security tool for OpenClawFeb 2026 · ▲4StopCrabs fills the security gap with purpose-built scanner
- OCOpenClaw Carapace – Security Scanner for OpenClawMar 2026 · github.com · ▲6
Here's Openclaw Carapace, a CLI security scanner for OpenClaw. It audits your configs, flags CVEs, and scans skill files for vulnerabilities. A few things it does: - Auto-fix common misconfigurations - Hardening profiles for typical deployment patterns - SARIF output so it drops right into GitHub Code Scanning or your CI/CD pipeline Would love feedback — especially on what checks or hardening rules you'd want to see next.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com