pixel-value-forensics

Locate the first bad event and extract pixel-level evidence from visual runtime data.

15|5|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/haolange/RDC-Agent-Frameworks --skill pixel-value-forensics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pixel-value-forensics
Source: https://github.com/haolange/RDC-Agent-Frameworks/tree/main/debugger/platforms/claude-code/.claude/skills/pixel-value-forensics
Command: npx skills add https://github.com/haolange/RDC-Agent-Frameworks --skill pixel-value-forensics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps investigators locate the first bad event in visual data and produce pixel-level evidence to support debugging and incident triage, removing manual frame-by-frame inspection.

Core Features & Use Cases

  • Extracts and surface pixel-level artifacts tied to a specific event for rendering anomalies, visual regressions, or UI discrepancy investigations.
  • Operates as a dispatched specialist under rdc-debugger orchestration, enforcing broker-mediated access, staged handoff, and single-runtime single-context runtime policies.
  • Use case: reproduce a customer-facing UI glitch, identify the first frame where pixel corruption appears, and collect evidence for root cause analysis and reporting.

Quick Start

Ask rdc-debugger to dispatch pixel-value-forensics for the target session to locate the first bad event and gather pixel-level evidence.

Frequently Asked Questions about pixel-value-forensics

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

FAQPage Schema
How do I locate the first bad event causing rendering anomalies during live debugging?

To locate the first bad event causing rendering anomalies, you dispatch pixel-value-forensics under rdc-debugger orchestration to pinpoint the exact frame where pixel corruption appears and extract visual runtime data evidence automatically.

What is pixel-level evidence extraction for UI regressions?

Pixel-level evidence extraction for UI regressions is the process of identifying the first frame where visual discrepancies occur and surfacing pixel artifacts tied to that specific event, eliminating manual frame-by-frame inspection during incident triage.

Do I need broker-mediated runtime access to investigate frame-level rendering incidents?

Yes, you need broker-mediated live runtime access to investigate frame-level rendering incidents. The Skill enforces staged handoff and single-runtime single-context coordination constraints, requiring intake artifacts and session-level handles provided by the broker.

Can I use pixel-value-forensics independently outside of rdc-debugger orchestration?

No, pixel-value-forensics cannot operate independently outside rdc-debugger orchestration. It functions strictly as a dispatched specialist, relying on the rdc-debugger to coordinate broker access and enforce single-runtime single-context runtime policies.

What's the best way to reproduce a customer-facing UI glitch for root cause analysis?

The best way to reproduce a customer-facing UI glitch for root cause analysis is to use pixel-value-forensics under rdc-debugger orchestration to identify the first corrupted frame and collect pixel-level evidence directly from live visual runtime data.

Why does manual frame-by-frame inspection fail for visual regression incident analysis?

Manual frame-by-frame inspection fails for visual regression incident analysis because it is time-consuming and error-prone. Pixel-value-forensics automates locating the first bad event and extracts precise pixel-level artifacts, improving triage accuracy and speed.