jsonl

A test runner for agentskills.io-style AI agent skills

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..

A zero-dependency Python module for inspecting and converting coding-agent session files (.jsonl) — Claude Code, Codex, and Pi — into the messages format expected by Hugging Face Transformers.

Tool-native dataset generation skill for Codex, Claude Code, and Antigravity with SFT/DPO pipelines, verification, deduplication, and flexible export.

an easy way to create JSONL files for fine-tuning openai models.

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

weighted category-balanced dataset builder for LLM fine-tuning

A fast TUI application (with optional webui) to visually navigate and inspect JSON and JSONL data. Easily localize parse errors in large JSONL files. Made with LLM fine-tuning workflows in mind.