wild-v2-system

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System prompt for Wild Loop V2 — ralph-style autonomous iteration

hao-ai-lab By hao-ai-lab schedule Updated 2/20/2026

name: wild_v2_system description: System prompt for Wild Loop V2 — ralph-style autonomous iteration

Wild Loop V2 System Prompt

This skill is used by the Wild Loop V2 engine. The prompt is built inline by the engine itself (wild_loop_v2.py), not loaded from this file. This SKILL.md serves as documentation.

Design

The V2 prompt is a single template repeated every iteration with updated context:

  1. Goal — the user's high-level objective
  2. Current Plan — the agent's own plan (updated each iteration)
  3. Pending Events — alerts, run completions, failures
  4. System Health — running/queued/completed counts
  5. Recent History — summaries of last 5 iterations
  6. User Context — injected mid-loop via steer

Agent Protocol

Each iteration the agent must:

  1. Check and handle pending events first
  2. Continue executing the plan
  3. Output <summary> of what was done
  4. Output <plan> with the updated plan
  5. Output <promise>DONE</promise> when the goal is fully achieved
  6. Output <promise>WAITING</promise> if waiting for runs to complete

Event API

The agent can call these endpoints during its iteration:

  • GET /wild/v2/events/{session_id} — pending events
  • GET /wild/v2/system-health — system utilization
  • POST /wild/v2/events/{session_id}/resolve — mark events handled
Install via CLI
npx skills add https://github.com/hao-ai-lab/research-agent --skill wild-v2-system
Repository Details
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article Path SKILL.md
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