
Agent-Managed Coding Runs
Starts, steers and reviews unattended coding runs with GNHF.
Install
npx skills add kunchenguid/gnhf --skill gnhf -g -a claude-code -y- Repository
- kunchenguid/gnhf4.2k
- Category
- AI and agents
- Updated
- 1mo ago
- License
- MIT
- Context cost
- Mediumabout 1,948 tokens
- Runs scripts
- No, instructions only
What it does
Use when the user asks to run GNHF, says they are going to sleep or leaving and wants an agent-managed coding run, asks to supervise, steer, or review an active GNHF run, or gives feedback on GNHF results.
GNHF
Overview
GNHF is an agent orchestrator: it repeatedly calls another coding agent until a natural-language stop condition is met. This skill teaches the host agent to prepare one durable run and, in Companion mode, steer or review it.
Core rule: the host agent orchestrates; GNHF executes. Do not manually implement inside the same scope while a GNHF worker is responsible for it unless the user explicitly changes the delegation.
In Companion mode, GNHF completion is not user acceptance. "Stop condition met" only means the worker stopped; the host still compares the result to the user's latest requirements and fresh verification.
Modes
Choose exactly one mode for the run.
Hands-Off
Use when the task is bounded, verification is clear, and the user wants one configured run to proceed without steering.
- Prepare a precise prompt with constraints, non-goals, verification, and stop condition.
- Launch GNHF and wait for completion.
- Intervene early only for hard failure, runaway scope, destructive behavior, or impossible prerequisites.
- Report the final GNHF status after exit.
Examples:
- English: "I'm going to bed. Use GNHF with Copilot to keep working on this branch and stop when the test suite passes."
- Chinese: "我要睡了。用 GNHF 接着跑这个分支,测试都过了就停。"
Companion
Use when the task is uncertain, exploratory, design-heavy, research-heavy, or likely to need course correction.
Default to Companion when the user asks to iterate until satisfied, requests multi-round work, provides review findings, asks for design/skill/documentation improvement, or asks for supervision.

