Skill UI

Delivers MiCA compliance evidence plus stablecoin risk scoring using FeedOracle’s MCP tools, ideal for audit or regulatory queries needing signed, verifiable data and pegged-asset insights.

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

Guides analysts through soft-mode startup screening by extracting company profiles, scoring eight VC dimensions, applying four investor lenses, and delivering a PASS/DECLINE verdict with a concise memo.

Use Clarvia AEO (Agent Experience Optimization) to score any MCP server, API, or CLI tool for agent-readiness. It evaluates 15,400+ AI tools across four dimensions—API accessibility, data structuring, agent compatibility, and trust signals—ensuring the components are robust enough for advanced AI agent workflows and dynamic selection processes.

Captures coding session learnings by extracting corrections, successes, and anti-patterns with confidence scoring so teams can track, reinforce, and reuse technical knowledge across projects.

Guides frontend designer-engineers to deliver memorable, production-ready interfaces by defining an aesthetic stance, scoring feasibility with DFII, and translating every intentional decision into code, typography, motion, and texture.

This powerful tool parses Software Bill of Materials (SBOM) in CycloneDX and SPDX formats. It correlates identified components against the NVD CVE database via API, building dependency graphs and calculating risk scores. It is essential for assessing third-party risk, identifying transitive vulnerability paths, and generating comprehensive compliance reports for supply chain security.

A comprehensive security tool designed to detect prompt injection attacks targeting Large Language Models (LLMs). It employs a multi-layered approach combining regex signature matching, structural anomaly scoring, and advanced DeBERTa transformer classification. It is essential for securing input validation layers in chatbots, AI agents, and RAG pipelines, and for retrospectively auditing LLM interaction logs against OWASP standards.

This library provides comprehensive patterns for building robust Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). It ensures patient safety by implementing critical checks such as drug interaction screening, weight/age/renal-adjusted dose validation, and standardized clinical scoring (e.g., NEWS2). The engine uses pure functions, guaranteeing high testability and reliability for critical medical insights.

Assesses AI/ML systems for prompt injection, jailbreak, model inversion, data poisoning, and agent tool abuse using MITRE ATLAS mapping, signature detection, and scoring metrics before deployment.

Guides teams through classifying and triaging declared security incidents, scoring severity, filtering false positives, routing escalations, and starting forensic collection consistent with NIST SP 800-61.

Structured red team engagement planning that blends MITRE ATT&CK kill-chain ordering, technique scoring, choke point and OPSEC analysis, and crown-jewel targeting into authorized offensive simulations with tooling like the engagement planner.