loop-plan-evaluator

Verify execution plans for DAG validity and scope alignment before coding.

2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill loop-plan-evaluator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-plan-evaluator
Source: https://github.com/AhmedElhadarey/Gilfoyle/tree/main/skills/loop-plan-evaluator
Command: npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill loop-plan-evaluator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically verify an execution plan before any code is written to prevent drift and rework by catching scope creep and misordered tasks early.

Core Features & Use Cases

  • Verify plan scope against specifications
  • Detect plan overlaps with completed work and existing code
  • Validate DAGs, dependencies, and readiness for execution
  • Trigger Board of Directors review for major tracks when needed Use Case: Before executing a feature rollout, run the evaluator to validate a multi-task rollout before implementation.

Quick Start

Install and integrate the loop-plan-evaluator to validate plans before execution.

Frequently Asked Questions about loop-plan-evaluator

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

FAQPage Schema
How do I validate an execution plan before coding to prevent scope creep?

Validating an execution plan before coding requires checking scope alignment against specifications and confirming DAG validity. This prevents scope creep and rework by catching misordered tasks early.

What is execution plan evaluation and how does it detect work duplication?

Execution plan evaluation is a verification process that checks plans against specifications and the current codebase state. It detects work duplication by identifying task overlaps with completed work before implementation begins.

How do I check DAG validity and dependencies for a multi-task rollout?

To check DAG validity and dependencies, you analyze the execution plan structure to verify correct task ordering. The evaluator confirms task clarity and readiness to ensure successful multi-task rollouts.

What inputs are required to verify plan scope against specifications?

Verifying plan scope against specifications requires plan.md, spec.md, conductor/tracks.md, and metadata.json as inputs. Awareness of the current codebase state is also necessary to output a structured evaluation report.

When do I need a multi-perspective review for execution plan validation?

A multi-perspective review for execution plan validation is needed when handling major tracks. The evaluator invokes a Board of Directors review to provide a comprehensive PASS/FAIL verdict from multiple viewpoints.

Does plan evaluation work for both major tracks and regular plans?

Plan evaluation works for both major tracks and regular plans. It applies DAG validation, dependency checking, and task clarity verification to both plan types, outputting a structured PASS/FAIL evaluation report.