# Long Running Harness Kit

> Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.

- Skill: `majiayu000/long-running-harness-kit` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/long-running-harness-kit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/long-running-harness-kit/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/long-running-harness-kit

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# Long Running Harness Kit

## Overview
Define a minimal harness that can pause and resume safely, with clear artifacts that survive context resets. Emphasize initializer + coder roles and persistent run state.

## Quick start
1) Fill `templates/harness_plan.json`.
2) Write `progress.log` and `results.json` outside the skill directory.
3) Use the initializer to set up context; use the coder to make incremental progress.

## Core Guidance
- Use two roles: initializer (setup + context) and coder (incremental tasks).
- Persist state each step (progress, decisions, artifacts).
- Keep tasks small; checkpoint after every meaningful change.
- On resume, read artifacts first, then continue with a narrow next step.

## Resources
- `references/harness-checklist.md`: Resumability and handoff checklist.
- `templates/harness_plan.json`: Plan scaffold for long-running runs.

## Validation
- Confirm artifacts exist and a resume step can continue from the last checkpoint.