Skill UI

This tool verifies the integrity of the witness chain for Cognitum Seed IoT devices. It systematically checks for epoch gaps and hash chain breaks, calculating a precise integrity score (0.0–1.0). This is essential for maintaining a secure and auditable provenance trail in industrial or critical IoT deployments.

This tool provides comprehensive diagnostics for Border Gateway Protocol (BGP) within network environments. It helps engineers troubleshoot connectivity issues, verify routing paths, and diagnose complex peering problems across large-scale networks. Ideal for network operations and advanced troubleshooting.

A comprehensive guide for diagnosing physical and logical network failures, such as CRC errors, packet drops, duplex mismatches, and flapping. It teaches users how to analyze interface counters and trends across routers, switches, and Linux hosts to pinpoint the root cause of connectivity issues.

A comprehensive tool for aggregating and displaying system metrics (counters, gauges, histograms) from the observability namespace. It computes baselines and flags anomalies by detecting deviations exceeding standard deviations, providing a clear snapshot of system health, error rates, and performance degradation trends.

This module is designed to document, track, and manage quality nonconformance issues found during manufacturing or process audits. It is essential for root cause analysis, implementing corrective and preventive actions (CAPA), and ensuring compliance with industry quality standards. Use it when recording deviations from specified requirements.

A comprehensive guide for configuring and deploying the RuView wireless sensing system. It covers firmware build-time settings (sdkconfig), runtime parameters (NVS provisioning), multi-node mesh setup, and integrating advanced edge intelligence modules (ADR-041). Essential for tuning system behavior and capabilities without modifying core code.

This tool provides the framework for setting up and running mmWave/FMCW radar (60 GHz, 24 GHz) alongside WiFi CSI. It performs advanced sensor fusion, reconciling radar-derived vitals (heart rate, breathing rate) with CSI data to generate unified 48-byte fused vital records. It is suitable for developing high-precision health monitoring systems and volumetric spatial models.

This comprehensive tool provides a multi-stage verification pipeline for the RuView system. It executes full Rust workspace tests, runs a deterministic Python proof (Trust Kill Switch) to detect behavioral drift, and generates a detailed ADR-028 witness bundle. Use this before merging pull requests or when creating an official attestation package for recipients.

This skill guides researchers to determine if their topic fits the scope of Acta Automatica Sinica (AAS). It provides detailed boundaries for control theory, pattern recognition, robotics, and smart systems, helping authors distinguish their contribution from pure algorithms or system software, and advising on appropriate article type (Review/Paper/Short) to avoid initial rejection.

This guide provides a comprehensive framework for positioning mobile and embedded systems manuscripts for ACM MobiSys. It details venue fit, contribution framing, necessary real-device evidence, and how to differentiate the work from related conferences (e.g., MobiCom, UbiComp). Use this when your research value depends on surviving real-world device constraints, sensing, or edge computing environments.

A comprehensive pre-submission tool designed to guide authors targeting ACS Nano. It assesses whether a nanoscience or nanotechnology manuscript meets the journal's high standards across scope, method rigor, structural presentation, and conceptual framing. Use this skill to re-frame your work, understand the required evidence (e.g., single-molecule studies, quantitative benchmarks), and ensure optimal fit before official submission.

A comprehensive guide for authors submitting materials science and physical metallurgy manuscripts to Acta Materialia. It emphasizes the necessity of establishing a clear processing–structure–property mechanism, requiring rigorous, quantitative characterization (e.g., TEM, XRD) and detailed mechanistic explanations over simple reports of improved performance. Use this tool for fit assessment and manuscript re-framing.