CLI appTesting and debugging

databricks-logs-reader

Fetch, merge, and filter Databricks job logs from one CLI command.

Stars: 2
Forks: 0
Updated: Updated Apr 2, 2026

CLI appTesting and debugging

databricks-logs-reader

Fetch, merge, and filter Databricks job logs from one CLI command.

Stars: 2
Forks: 0
Updated: Updated Apr 2, 2026

CLI appTesting and debugging

rehearse

@Bobby-GrayPython

Diagnose deployed web apps behind enterprise authentication from the terminal.

Project overview

Use prebuilt CLI verbs to inspect HTML, DOM state, console output, network traffic, screenshots, and scripted interactions against a live deployment. Rehearse can retain per-host authentication and scope Cloudflare Access credentials to the protected origin, while emitting stable JSON for CI, cron, or agent runners. It is Chromium-only and targets diagnostics and repeatable health flows rather than load testing or general synthetic monitoring.

Stars: 1
Forks: 0
License: MIT

CLI appTesting and debuggingGitHub Copilot

waza

@microsoftGo

Create skill evaluations, run benchmarks, and compare performance across models.

Project overview

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.

Stars: 1,088
Forks: 65
License: MIT

CLI appTesting and debuggingCodex

skillgrade

@mgechevTypeScript

Run repeatable evaluations of whether agents discover and use a skill correctly.

Project overview

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.

Stars: 618
Forks: 45
License: MIT

CLI appTesting and debuggingLinux

agentsight

@eunomia-bpfC

Traces AI-agent processes, files, network destinations, and model calls with eBPF.

Project overview

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.

Stars: 518
Forks: 71
License: MIT

databricks-logs-reader

databricks-logs-reader

Project overview

Repository facts

Related projects

rehearse

waza

skillgrade

agentsight