Descubre Habilidades de Claude para security & testing. Explora 105 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Automates LimaCharlie security operations including sensor management, threat hunting, and detection engineering via a specialized sub-agent.
Drafts and verifies formal Dafny specifications from natural language to ensure algorithmic correctness.
Generates and verifies Dafny implementation bodies by iteratively applying proof hints, loop invariants, and lemmas until the verifier accepts.
Generates accurate multi-tenant security, operational, and billing reports across LimaCharlie organizations.
Optimizes security operations by identifying noisy alerts and generating tested false-positive suppression rules for the LimaCharlie platform.
Compiles verified Dafny programs into clean, production-ready Python or Go code with automated property-based test generation.
Performs hypothesis-driven execution path tracing to build complete, evidence-based call graphs from entry points to leaf functions.
Conducts rigorous, evidence-driven code analysis using structured reasoning certificates to verify logic, safety, and correctness.
Conducts comprehensive security investigations and builds detailed incident reports using LimaCharlie telemetry and threat hunting patterns.
Builds hierarchical claim trees to verify that code satisfies requirements through formal, behavioral, and static analysis.
Builds, tests, and deploys LimaCharlie Detection and Response (D&R) rules through an automated, validated development lifecycle.
Performs rigorous visual validation of UI components, design system compliance, and accessibility standards to ensure pixel-perfect implementations.
Identifies and fixes breaking changes by re-verifying formal Dafny specifications against modified source code.
Performs comprehensive web accessibility audits to ensure WCAG compliance, ARIA validation, and inclusive user experiences.
Monitors LimaCharlie fleet health by identifying sensor coverage gaps, validating telemetry flow, and profiling assets for security posture management.
Identifies the root cause of failing tests using a structured 4-phase semi-formal reasoning process.
Analyzes text for AI authorship markers using linguistic patterns, structural red flags, and model-specific fingerprints.
Monitors and reports on sensor connectivity, data availability, and fleet-wide health across multiple LimaCharlie organizations.
Establishes measurable success criteria and quality gates before code execution to ensure rigorous test-driven development standards.
Generates pragmatic verification artifacts like contracts and property-based tests for Python and Go code.
Deploys payloads and shell commands across entire endpoint fleets with automated handling for offline devices.
Audits React codebases to eliminate redundant useEffect hooks and optimize component performance based on official best practices.
Identifies and resolves complex code smells, anti-patterns, and security vulnerabilities across multiple programming languages using structural pattern matching.
Verifies feature completeness against PRD requirements by identifying gaps between backend implementation and user-accessible interfaces.
Audits project dependencies for license compatibility, traces PII for data privacy, and evaluates AI ethical standards.
Identifies and prunes unused Python functions, classes, and variables to maintain clean and efficient codebases.
Streamlines unit and integration testing for JavaScript and TypeScript projects using the high-performance Vitest runner.
Audits Firebase projects for security vulnerabilities, architectural consistency, and adherence to production-ready best practices.
Validates the independence of AI critic layers to ensure reliable, orthogonal failure modes in multi-agent workflows.
Audits codebases for OWASP Top 10 vulnerabilities, AI-specific risks, and dependency security flaws.
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