Build and run lightweight regression evaluations for agents, tools, prompts, and workflows. Use when comparing agent versions, catching behavior drift, measuring pass rates over repeated runs, or turning production failures into replayable test cases.
Audit agent repositories, MCP configurations, tool schemas, prompts, and logs for common security risks: secret exposure, prompt injection payloads, tool poisoning, command execution, broad filesystem access, and unsafe auto-approval.
Inspect agent traces, tool-call logs, and OpenTelemetry/OpenInference-style span exports. Use when debugging why an agent skipped a tool, called the wrong tool, hit errors, exceeded latency budgets, or produced an unsupported answer.
Design and validate graph/state-machine agent workflows with explicit starts, terminal states, guarded cycles, human approval points, and side-effecting tool boundaries. Use when building LangGraph-style, multi-agent, or durable agent workflows.
Safely list, create, and extract zip/tar archives with path traversal checks. Use when packaging artifacts, unpacking downloaded files, or inspecting archive contents on a user's computer.
Build, run, and review browser-using AI agents with Playwright, Browser Use, MCP browser tools, or hosted browser runtimes. Use for web navigation agents, form-filling, UI task automation, screenshots, DOM/vision checks, auth/session handling, and browser-task reliability reviews.
Read from and write to the system clipboard on macOS or Linux when clipboard commands are available. Use for transferring short text snippets between agent work and the user's desktop applications.
Build source-grounded context packs with file hashes, line ranges, chunk text, and simple retrieval selection. Use when preparing reliable context for agents, RAG experiments, codebase analysis, or long-document tasks where provenance and source traceability matter.