antithesis-debug

Triages Antithesis test reports by looking up runs, checking status, investigating failed properties, viewing metadata, downloading logs, and examining findings using snouty CLI and agent-browser for authenticated report access.

Analyzes a codebase to determine how it should be tested with Antithesis by mapping system architecture, identifying failure-prone areas and testable properties, and producing research artifacts for workload and environment planning.

Agent skill for implementing Antithesis workloads by mapping property catalogs to SDK assertions and test commands. Covers test template creation, workload expansion from triage findings, and refinement for autonomous software testing.

A skill for efficiently accessing Antithesis documentation — Antithesis is a deterministic testing platform that exposes bugs by running software in a hostile simulation environment, with reproducible failures via the snouty CLI.

Scaffolds the Antithesis testing harness by initializing the working directory, writing Dockerfiles and docker-compose.yaml, setting up coverage instrumentation and SDK integration, and preparing to submit your first autonomous test run.

Launches Antithesis testing runs by discovering harness layouts, building Docker Compose configs, and running snouty validation before execution.

An Antithesis skill for searching across all timelines in a test run to find events, correlate property failures, and answer temporal questions about ordering and causation, with support for temporal queries and multiverse map visualization.

Opens a browser tab to submit feedback about Antithesis skills via GitHub Issues, or prints the URL if no graphical environment is available.

Part of the Antithesis skills suite that enables AI agents to set up reliability testing, bootstrap tests, launch runs, and triage results. Includes tools for multiverse debugging, log querying, and root cause analysis.

An interview-driven onboarding assistant for Kubernetes-based customers getting started with Antithesis testing. Helps minimize production k8s manifests into a form suitable for constructing Antithesis test environments, producing structured analysis reports and escalation packets.