rehearse

Fetch a Databricks job by name, run ID, or workspace URL, then download and decompress driver and executor logs from Unity Catalog Volumes and merge them chronologically with source labels. The CLI supports focused filters and JSONL output. It requires a configured Databricks CLI and does not currently support S3 log destinations.

Waza is a Go CLI for scaffolding Agent Skills evaluation suites, running benchmarks, and comparing outcomes across models or executors. Its readiness checks cover frontmatter compliance, token budgets, evaluation files, and agentskills.io specification rules, and the workflow can be integrated into CI. It is aimed at skill authors and teams that need repeatable quality measurements and regression checks.

Skillgrade scaffolds an eval.yaml for a SKILL.md directory, runs repeated tasks, and measures whether an agent discovers and applies the skill as intended. It supports Gemini, Claude, Codex, ACP, OpenCode, and custom command agents, with deterministic or LLM-rubric graders and CLI or browser reports. Node.js 20+ is required, while Docker, API credentials, or a local command depend on the selected executor.

AgentSight observes AI agents at the system level, correlating process trees, shell commands, file operations, network destinations, prompts, responses, tool intent, and model token data. It works outside closed-source CLIs without an SDK, proxy, or vendor integration, and offers live views, SQLite session reports, and offline pprof profiles. It requires Linux eBPF support and elevated probe privileges, and its capture scope includes potentially sensitive prompts and responses.