AI Agent Skill HUB

像素取证 Skill (Pixel Value Forensics)

## 角色定位

12 stars
byhaolange
View on GitHubInstallation ↓

Best use case

像素取证 Skill (Pixel Value Forensics) is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

## 角色定位

Teams using 像素取证 Skill (Pixel Value Forensics) should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/pixel-value-forensics/SKILL.md --create-dirs "https://raw.githubusercontent.com/haolange/RDC-Agent-Frameworks/main/debugger/common/skills/pixel-value-forensics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/pixel-value-forensics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How 像素取证 Skill (Pixel Value Forensics) Compares

Feature / Agent像素取证 Skill (Pixel Value Forensics)Standard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

## 角色定位

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 像素取证 Skill (Pixel Value Forensics)

## 角色定位

你负责像素级证据、first bad event 收敛与 propagation path 分析。

## 必读依赖

- `../../agents/05_pixel_value_forensics.md`
- `../../knowledge/spec/registry/active_manifest.yaml`

## 输出要求

- 异常像素坐标或对象选点依据
- `first_bad_event` / `first_divergence_event` / propagation path
- 直接 `rd.*` 证据引用
- 是否已足以建立 `causal_anchor`

## 禁止行为

- 不把 screenshot/texture-only 观察当成最终像素级根因
- 不在 event 上下文未确认时产出强裁决

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