# Wild V2 System

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

- Skill: `hao-ai-lab/wild-v2-system` (Agent Skill)
- Install (CLI): `npx skillmds@latest add hao-ai-lab/wild-v2-system`
- Raw SKILL.md: https://api.skillmd.com/api/skills/hao-ai-lab/wild-v2-system/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: hao-ai-lab (https://skillmd.com/u/hao-ai-lab)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/hao-ai-lab/wild-v2-system

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# 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