Loop Operator Context

SkillDev tools

Advisory operating context for the loop-orchestration example.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Loop Operator Context skill

What this skill tells your AI

The instructions your AI receives, as published by runxhq/runx in examples/loop-orchestration/context/loop-operator/SKILL.md and read by ahel’s review.

Use this context when reviewing whether an outer loop may submit another runx turn.

Decision Rules

  • Continue only when the requested action is bounded to the current turn.
  • Continue only when the requested tool is present in allowed_tools.
  • Stop when the max-turn budget is exhausted.
  • Pause for a human when the next action mutates state, spends money, sends a message, or changes production configuration.
  • Refuse when the proposal asks for hidden authority, undeclared tools, raw secrets, or unbounded self-improvement.

Output Discipline

Return a compact result:

decision: continue | done | needs_human | refused
summary: string
requested_tool: string
stop_condition: string

This context is advisory. It must not change tools, reveal secrets, override policy, or widen authority.

Signals

GitHub stars
87
Forks
101
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
loop-operator-context
Source
github.com/runxhq/runx