Skills

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.

Read the whole SKILL.md on GitHub

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