Local coding delegate

SkillAI & models

Optional local coding loop as a mechanical or default delegate. Use when the decider model wants a cheap local coder and a hardware probe says the host can run one.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Local coding delegate skill

What this skill tells your AI

The instructions your AI receives, as published by itestflow/itestflow-agent in .chaos-engine/skills/local-coding-delegate/SKILL.md and read by ahel’s review.

Optional. Not always-loaded. A user-configurable local coding loop that runs as a mechanical or default delegate only.

The most-intelligent or default capability model stays the decider. Load this skill when that decider judges a local loop would add value, then probe the host before configuring anything.

When it may run

  • The adopter asked for a local loop, or the decider chose one for cheap, bounded, already-specified work.
  • The hardware probe recommends a size class other than refuse.
  • The task is mechanical or default-capability labor, not review, not the GitHub playbook, and not a public-API change unless both the probe and the task say the local coder is enough.

Honest refuse is a valid completion. Do not download or configure a local coder unless the adopter asked and the probe says the host can run a useful one. Never invent a default vendor model name. Speak in capability levels and size classes (small, medium, large, or refuse).

Probe

Run the stdlib probe. It reports OS, RAM, and GPU memory when present, then recommends a size class or refuses.

python3 chaos-engine/skills/local-coding-delegate/scripts/probe_hardware.py
  • refuse — do not install or invoke a local coder.
  • small / medium / large — the host can run a useful coder in that class. The adopter chooses the vendor and the model. This skill does not.

Bounds

The local loop never replaces independent review, never owns merge or GitHub delivery, and never decides architecture. The host session may hand one mechanical batch to a writer. Close that writer after its PR exists. If the probe refuses, or the task outgrows the recommended class, keep the work on the decider model.

Signals

GitHub stars
31
Forks
3
Last commit
Sep 2026
Advanced
Item type
skill
Key
local-coding-delegate
Source
github.com/itestflow/itestflow-agent