fixer

Generate approval-gated repair plans from evaluator reports and apply fixes via ralphy verbs.

118|12|Updated May 5, 2026
One-click install
npx skills add https://github.com/alecs5am/ralphy --skill fixer-alecs5am
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fixer
Source: https://github.com/alecs5am/ralphy/tree/main/.agents/skills/fixer
Command: npx skills add https://github.com/alecs5am/ralphy --skill fixer-alecs5am

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The fixer consumes evaluator outputs and turns them into a deterministic, action-ready repair plan, gating costs and ensuring no paid-model calls occur before user approval.

Core Features & Use Cases

  • Reads eval output (eval-deep-vision.json or eval.json) to classify findings by ownership (art-director / scenarist / editor) and orders them by severity.
  • Generates and presents a grouped repair plan via the repair-plan verb, then waits for user approval before applying fixes through existing ralphy verbs, re-renders, and re-evaluates.
  • Provides a safe-guarded workflow for batch or single-item repair with append-only versioning and zero-model-invocations until approved.

Quick Start

Run the evaluator to generate a report, then use ralphy project repair-plan <id> to generate a repair plan and apply approved fixes via the existing ralphy verbs.

Frequently Asked Questions about fixer

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

FAQPage Schema
How do I turn video quality evaluation reports into actionable repair plans?▼

Video quality evaluation reports are converted into actionable repair plans by reading evaluator outputs, classifying findings by ownership and severity, and generating an approval-gated plan before applying fixes. This ensures no expensive operations occur without explicit user approval.

Can I automate video repairs without triggering paid model calls before approval?▼

Yes, you can automate video repairs without paid model calls by using a deterministic, zero-model plan that strictly gates expensive operations. The workflow waits for user approval before applying fixes through existing re-render and re-evaluate verbs.

What is the process for classifying evaluator findings to plan video quality repairs?▼

Classifying evaluator findings for video quality repairs involves reading eval output files, sorting issues by severity, and grouping them by ownership roles like art-director, scenarist, or editor to generate a structured and actionable repair plan.

How do I generate a repair plan for evaluated videos and apply approved fixes?▼

To generate a repair plan for evaluated videos, run the evaluator to produce a report, then use the repair-plan verb to output a grouped plan. After reviewing and approving the plan, apply fixes through existing verbs to re-render and re-evaluate.

Does the video repair workflow support batch processing and version control?▼

Yes, the video repair workflow supports batch or single-item repair with append-only versioning. This provides a safe-guarded process ensuring deterministic fixes are tracked and applied without overwriting previous file states.