proof-orchestrator

Coordinate GPT-pro proof workflows with standardized tasks and audits.

2|1|Updated May 7, 2026
One-click install
npx skills add https://github.com/shenmuxing/EtaSkill --skill proof-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proof-orchestrator
Source: https://github.com/shenmuxing/EtaSkill/tree/main/skill-examples/proof-orchestrator
Command: npx skills add https://github.com/shenmuxing/EtaSkill --skill proof-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill coordinates a structured proof-production pipeline for AI-agent work, reducing wasted budget and preventing poorly packaged or unaudited proof attempts.

Core Features & Use Cases

  • Run Standardization: Creates a clean proof run directory with the right task and materials files.
  • Preflight Checking: Performs a short local difficulty probe to decide whether a task is local, needs rewrite, or should be sent to GPT-pro.
  • Handoff and Audit Flow: Packages reviewed prompts, manages GPT-pro output, performs Codex or DeepSeek audits, and supports bounded local repairs.
  • Use Case: A researcher wants to prove a lemma with GPT-pro, but first needs the request standardized, preflighted, reviewed, handed off, audited, and finalized without losing proof provenance.

Quick Start

Use the proof-orchestrator skill to standardize my proof idea, run a preflight probe, and prepare a reviewed GPT-pro handoff.

Frequently Asked Questions about proof-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize a proof idea before sending it to GPT-pro?

To standardize a proof idea, this skill creates a clean proof run directory with the correct task and materials files, then performs a preflight difficulty probe to determine if the task is local, needs a rewrite, or should be sent to GPT-pro.

What is a GPT-pro proof workflow and when do I need audit alignment?

A GPT-pro proof workflow coordinates proof production from task standardization to final assembly. You need audit alignment when packaging handoffs and performing Codex or DeepSeek audits to ensure provenance and review gates are preserved.

Can I use proof-orchestrator for proof continuation and bounded repair scenarios?

Yes, proof-orchestrator applies to proof runs, continuations, stress tests, and bounded repair scenarios. It manages final proof assembly while preserving provenance, review gates, and status labels across these contexts.

Does proof-orchestrator work with Codex and DeepSeek for proof auditing?

Yes, proof-orchestrator packages reviewed prompts, manages GPT-pro output, and performs Codex or DeepSeek audits. It supports bounded local repairs during the handoff and audit flow to maintain proof provenance.

What do I need to prepare a reviewed GPT-pro handoff for a lemma proof?

Preparing a reviewed GPT-pro handoff requires reviewed prompt bundles and run-directory state reconstruction. The skill standardizes the request, runs a preflight probe, and packages the handoff without losing proof provenance.

Why does my proof workflow need a preflight difficulty probe before GPT-pro dispatch?

A preflight difficulty probe prevents wasted budget by running a short local check to decide whether a task can be handled locally, needs a rewrite, or should be dispatched to GPT-pro for full proof production.