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研究检索操作浏览器github未标认证来源可访问许可证需确认审计通过

dejankdejank 搜索

Agent Skill

dejank 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

404

周安装

17

GitHub Stars

29

下载量

141
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dejank(dejank 搜索)
来源仓库:https://github.com/gbasin/dejank
仓库路径:skills/dejank
安装命令:
npx skills add https://github.com/gbasin/dejank --skill dejank
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gbasin/dejank --skill dejank

简介

用于检测与修复React及浏览器UI的视觉不稳定问题,如闪烁或跳转。

  • 支持静态分析与运行时调查两种模式,根据已知问题选择路径。
  • 识别布局抖动、焦点丢失等具体症状并提供修复方案。
  • 适用于UI优化与用户体验提升场景,需结合具体现象使用。
  • dejank 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Find and fix visual instability in React and browser UIs. This skill operates in two modes depending on what is known at invocation time.

Decision Tree

Determine the mode before doing any work:

Is there a specific visual complaint? (The user describes something they can see: flicker, blink, flash, jump, stutter, pop-in, scroll reset, focus loss, "the whole pane feels rebuilt.")

  • Yes -- go to Mode B: Runtime Investigation
  • No (general review, PR check, preventive sweep, or just a file/directory target) -- go to Mode A: Static Analysis

If unsure, start with Mode A. Its findings often explain the complaint without runtime tooling.


Mode A -- Static Analysis

Use when: reviewing a PR, scanning changed files, doing a preventive sweep, or no specific symptom is reported.

  1. Read references/static-patterns.md for the full pattern catalog.
  2. Read references/scan-process.md for scope rules, severity rubric, output format, and guardrails.
  3. Identify scope: changed files in the current branch (git diff --name-only against base), or the user-specified target and its direct imports.
  4. Scan each React component against all patterns.
  5. Report findings grouped by component, ranked by severity.

Stop here unless a finding warrants runtime confirmation or the user escalates.


Mode B -- Runtime Investigation

Use when: the user reports something visible -- flicker, blink, flash, jump, snap, stutter, pop-in, scroll reset, focus loss, or "the whole pane feels rebuilt."

Step 1 -- Classify the symptom

BucketSymptoms
flash / blinksubtree replaced, hidden, or briefly emptied
jump / snaplayout shifts, size changes, scroll resets
sticky / stutterlong tasks, frame gaps, render storms
pop inpost-paint correction from effects, fonts, images, async state
whole pane rebuiltkeyed remount or identity loss

Anchor each finding: Which stable surface lost identity, visibility, position, or continuity during this interaction?

Step 2 -- Pick the lightest investigation path

Do not start with a heavyweight trace unless the lighter pass fails to explain the symptom.

Step 3 -- Escalate

Each reference file contains its own escalation rules. Move to the next layer only when the current one is insufficient.

Done Criteria

  • You can state the likely cause AND either provide a code fix or identify what telemetry to add.
  • Max escalation depth: 2 layers. If the second investigation path doesn't explain the symptom, report what you found and what remains unknown. Do not keep escalating.

Hybrid: Static + Runtime

When a runtime complaint maps to a static pattern (e.g., "it flashes on load" and you find effect-driven state initialization), run Mode A on the relevant files first. If the static finding explains the symptom, fix it without runtime tooling. If not, proceed to Mode B.


Output

Mode A: Findings grouped by component. Each finding includes pattern name, severity, what the user sees, code location, and a specific fix (not generic advice). End with a severity summary. Full format in references/scan-process.md.

Mode B: Report in this order:

  1. Interaction: what was tested
  2. Classification: remount, layout, loading, post-paint, or paint/composite
  3. Evidence: concrete metrics, trace signals, or selector replacement findings
  4. Likely cause: highest-confidence explanation
  5. Next action: code fix, deeper trace, or telemetry

If you create a reusable probe or report during the audit, keep it opt-in unless the repo already budgets against it.

Scope

This skill covers the narrow band of issues that are visual, temporal, and caused by React's render model or browser rendering -- things that make a UI feel janky even when everything else is correct.

It does NOT cover runtime performance (slow renders, memory leaks), accessibility, design quality, or error handling. Defer those to the appropriate specialized skill.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.44%
按下载量换算51

Claude

30.56%
按下载量换算43

Cursor

21.52%
按下载量换算30

Gemini CLI

9.08%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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