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model-escalation
Advisory model escalation based on task outcome tracking
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Advisory model escalation based on task outcome tracking
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
Monitor Claude Code releases and auto-generate GitHub issues for each new version
Execute OpenAI Codex CLI prompts and return results
YAML-based DAG workflow engine with topological execution and failure strategies
Basado en la clasificación ocupacional SOC
| name | model-escalation |
| description | Advisory model escalation based on task outcome tracking |
| scope | core |
| user-invocable | false |
Tracks task outcomes and advises model upgrades when failures are detected. Advisory-only — the orchestrator makes the final decision (R010).
haiku → sonnet → opus
| Condition | Action |
|---|---|
| 2+ failures with same model for same agent type | Advise escalation |
| 3+ consecutive failures across any agent type | Advise global escalation |
| Sustained success after escalation | Advise de-escalation |
| Parameter | Default | Description |
|---|---|---|
failure_threshold | 2 | Failures before escalation advisory |
consecutive_threshold | 3 | Consecutive failures for global advisory |
cooldown_tasks | 5 | Successes before de-escalation advisory |
PostToolUse (Task) → task-outcome-recorder.sh
Records: agent_type, model, success/failure, error_summary
Storage: /tmp/.codex-task-outcomes-$PPID (JSON lines, max 50)
PreToolUse (Task) → model-escalation-advisor.sh
Reads outcomes → counts failures → advises escalation via stderr
Advisory only — never blocks, never modifies tool input
--- [Model Escalation Advisory] ---
Agent type: {agent_type}
Current model: {current_model}
Recent failures: {count}/{threshold}
⚡ Recommended: Escalate to {next_model}
Cost impact: {multiplier} per task
---