gpd-attack-obligation

Generate a focused attack plan for open proof obligations in Rust.

Updated May 1, 2026
One-click install
npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-attack-obligation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpd-attack-obligation
Source: https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry/tree/main/.agents/skills/gpd-attack-obligation
Command: npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-attack-obligation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating a targeted attack plan for an open proof obligation, providing a structured approach to tackle proof-related tasks.

Core Features & Use Cases

  • Attack Plan Generation: Develops a detailed plan for addressing a specific proof obligation.
  • Evidence and Blockers: Incorporates evidence and identifies blockers to inform the attack strategy.
  • Candidate Lanes: Outlines potential paths to resolution.
  • Acceptance Checks: Ensures the plan meets acceptance criteria.
  • Use Case: For researchers working on mathematical proofs, this Skill aids in formulating a strategic approach to resolve complex proof obligations.

Quick Start

Generate an attack plan for the obligation 'OBL-000' by running the command: gpd-attack-obligation OBL-000

Frequently Asked Questions about gpd-attack-obligation

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

FAQPage Schema
How do I generate an attack plan for an open proof obligation in mathematical research?

To generate an attack plan for an open proof obligation, run the command with your specific obligation identifier. The tool outputs a focused strategy incorporating evidence, blockers, candidate lanes, and acceptance checks for mathematical proof resolution.

What is an attack plan for proof resolution and what components does it include?

An attack plan for proof resolution is a structured strategy to tackle open mathematical obligations. It includes gathered evidence, identified blockers, potential candidate lanes for resolution, and specific acceptance checks to validate the proof.

Do I need a Rust environment and specific binaries to run proof obligation attack planning?

Yes, proof obligation attack planning requires a Rust environment and the `cclab_accel` binary for execution. This setup ensures the tool can properly process the mathematical research workflows and generate the structured resolution strategy.

Can I use this attack plan generator for complex mathematical proofs and theoretical research?

Yes, you can use this attack plan generator for complex mathematical proofs and theoretical research workflows. It is specifically designed to aid researchers in formulating a strategic approach to resolve intricate proof obligations.

What is the best way to identify blockers and candidate lanes for a mathematical proof obligation?

The best way to identify blockers and candidate lanes is to use an automated attack plan generator. It systematically analyzes open proof obligations and outlines potential paths to resolution while highlighting obstacles.