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Agent Skill · 研究检索

judgment-day(审判日)

judgment-day 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。

judgment-day 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 60,042。

总安装 374周安装 15GitHub Stars 公开资料未说明下载 121核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:judgment-day(审判日)
来源仓库:https://github.com/fearovex/claude-config
仓库路径:skills/judgment-day
安装命令:
npx skills add https://github.com/fearovex/claude-config --skill judgment-day
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/fearovex/claude-config --skill judgment-day

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

judgment-day 用于查找、检索和筛选相关信息,支持关键词和任务场景匹配。适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验用法。

安装前应确认权限范围、维护状态及是否涉及联网、命令执行或文件读写。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/judgment-day

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/fearovex/claude-config --skill judgment-day;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

judgment-day 怎么安装?

在终端执行 npx skills add https://github.com/fearovex/claude-config --skill judgment-day。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

judgment-day 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

judgment-day 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

judgment-day 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

judgment-day 用的人多吗?

公开数据是累计安装 374 次,近一周安装 15 次,下载 121 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

judgment-day 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
judgment-day

审判日 · 本页

374—只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

When to Use

  • User explicitly asks for "judgment day", "judgment-day", or equivalent trigger phrases
  • After significant implementations before merging
  • When high-confidence review of code, features, or architecture is needed
  • When a single reviewer might miss edge cases or have blind spots
  • When the cost of a production bug is higher than the cost of two review rounds

Critical Patterns

Pattern 0: Skill Resolution (BEFORE launching judges)

Follow the Skill Resolver Protocol (_shared/skill-resolver.md) before launching ANY sub-agent:

  1. Obtain the skill registry: search engram (mem_search(query: "skill-registry", project: "{project}")) → fallback to .atl/skill-registry.md from the project root → skip if none
  2. Identify the target files/scope — what code will the judges review?
  3. Match relevant skills from the registry's Compact Rules by:

- Code context: file extensions/paths of the target (e.g., .go → go-testing; .tsx → react-19, typescript) - Task context: "review code" → framework/language skills; "create PR" → branch-pr skill

  1. Build a ## Project Standards (auto-resolved) block with the matching compact rules
  2. Inject this block into BOTH Judge prompts AND the Fix Agent prompt (identical for all)

This ensures judges review against project-specific standards, not just generic best practices.

If no registry exists: warn the user ("No skill registry found — judges will review without project-specific standards. Run skill-registry to fix this.") and proceed with generic review only.

Pattern 1: Parallel Blind Review

  • Launch TWO sub-agents via delegate (async, parallel — never sequential)
  • Each agent receives the same target but works independently
  • Neither agent knows about the other — no cross-contamination
  • Both use identical review criteria but may find different issues
  • NEVER do the review yourself as the orchestrator — your job is coordination only

Pattern 2: Verdict Synthesis

The orchestrator (NOT a sub-agent) compares results after both delegation_read calls return:

Confirmed   → found by BOTH agents          → high confidence, fix immediately
Suspect A   → found ONLY by Judge A         → needs triage
Suspect B   → found ONLY by Judge B         → needs triage
Contradiction → agents DISAGREE on the same thing → flag for manual decision

Present findings as a structured verdict table (see Output Format).

Pattern 3: Fix and Re-judge

  1. If confirmed issues exist → delegate a Fix Agent (separate delegation)
  2. After Fix Agent completes → re-launch both judges in parallel (same blind protocol, fresh delegates)
  3. Max 2 fix iterations. If still failing → JUDGMENT: ESCALATED — report to user with full history
  4. If both judges return clean → JUDGMENT: APPROVED ✅

Decision Tree

User asks for "judgment day"
│
├── Target is specific files/feature/component?
│   ├── YES → continue
│   └── NO → ask user to specify scope before proceeding
│
▼
Resolve skills (Pattern 0): read registry → match by code + task context → build Project Standards block
▼
Launch Judge A + Judge B in parallel (delegate, async) — with Project Standards injected
▼
Wait for both to complete (delegation_read both)
▼
Synthesize verdict
│
├── No issues found?
│   └── JUDGMENT: APPROVED ✅ (stop here)
│
├── Issues found (confirmed, suspect, or contradictions)?
│   └── Delegate Fix Agent with confirmed issues list
│       ▼
│       Wait for Fix Agent to complete
│       ▼
│       Re-launch Judge A + Judge B in parallel (Round 2)
│       ▼
│       Synthesize verdict
│       │
│       ├── Clean → JUDGMENT: APPROVED ✅
│       │
│       └── Still issues → Delegate Fix Agent again (Round 3 / iteration 2)
│           ▼
│           Re-launch Judge A + Judge B in parallel (Round 3)
│           ▼
│           Synthesize verdict
│           │
│           ├── Clean → JUDGMENT: APPROVED ✅
│           └── Still issues → JUDGMENT: ESCALATED ⚠️ (report to user)

Sub-Agent Prompt Templates

Judge Prompt (use for BOTH Judge A and Judge B — identical)

You are an adversarial code reviewer. Your ONLY job is to find problems.

## Target
{describe target: files, feature, architecture, component}

{if compact rules were resolved in Pattern 0, inject the following block — otherwise OMIT this entire section}
## Project Standards (auto-resolved)
{paste matching compact rules blocks from the skill registry}

## Review Criteria
- Correctness: Does the code do what it claims? Are there logical errors?
- Edge cases: What inputs or states aren't handled?
- Error handling: Are errors caught, propagated, and logged properly?
- Performance: Any N+1 queries, inefficient loops, unnecessary allocations?
- Security: Any injection risks, exposed secrets, improper auth checks?
- Naming & conventions: Does it follow the project's established patterns AND the Project Standards above?
{if user provided custom criteria, add here}

## Return Format
Return a structured list of findings ONLY. No praise, no approval.

Each finding:
- Severity: CRITICAL | WARNING | SUGGESTION
- File: path/to/file.ext (line N if applicable)
- Description: What is wrong and why it matters
- Suggested fix: one-line description of the fix (not code, just intent)

Always include at the end: **Skill Resolution**: {injected|fallback-registry|fallback-path|none} — {details}

If you find NO issues, return:
VERDICT: CLEAN — No issues found.

## Instructions
Be thorough and adversarial. Assume the code has bugs until proven otherwise.
Your job is to find problems, NOT to approve. Do not summarize. Do not praise.

Fix Agent Prompt

You are a surgical fix agent. You apply ONLY the confirmed issues listed below.

## Confirmed Issues to Fix
{paste the confirmed findings table from the verdict synthesis}

{if compact rules were resolved in Pattern 0, inject the following block — otherwise OMIT this entire section}
## Project Standards (auto-resolved)
{paste matching compact rules blocks from the skill registry}

## Context
- Original review criteria: {paste same criteria used for judges}
- Target: {same target description}

## Instructions
- Fix ONLY the confirmed issues listed above
- Do NOT refactor beyond what is strictly needed to fix each issue
- Do NOT change code that was not flagged
- After each fix, note: file changed, line changed, what was done

Return a summary:
## Fixes Applied
- [file:line] — {what was fixed}

**Skill Resolution**: {injected|fallback-registry|fallback-path|none} — {details}

Output Format

## Judgment Day — {target}

### Round {N} — Verdict

| Finding | Judge A | Judge B | Severity | Status |
|---------|---------|---------|----------|--------|
| Missing null check in auth.go:42 | ✅ | ✅ | CRITICAL | Confirmed |
| Race condition in worker.go:88 | ✅ | ❌ | WARNING | Suspect (A only) |
| Naming mismatch in handler.go:15 | ❌ | ✅ | SUGGESTION | Suspect (B only) |
| Error swallowed in db.go:201 | ✅ | ✅ | CRITICAL | Confirmed |

**Confirmed issues**: 2 CRITICAL
**Suspect issues**: 1 WARNING, 1 SUGGESTION
**Contradictions**: none

### Fixes Applied (Round {N})
- `auth.go:42` — Added nil check before dereferencing user pointer
- `db.go:201` — Propagated error instead of silently returning nil

### Round {N+1} — Re-judgment
- Judge A: PASS ✅ — No issues found
- Judge B: PASS ✅ — No issues found

---

### JUDGMENT: APPROVED ✅
Both judges pass clean. The target is cleared for merge.

Escalation Format (after 2 failed iterations)

## Judgment Day — {target}

### JUDGMENT: ESCALATED ⚠️

After 2 fix iterations, both judges still report issues.
Manual review required before proceeding.

### Remaining Issues
| Finding | Judge A | Judge B | Severity |
|---------|---------|---------|----------|
| {description} | ✅ | ✅ | CRITICAL |

### History
- Round 1: {N} confirmed issues found
- Fix 1: applied {list}
- Round 2: {N} issues remain
- Fix 2: applied {list}
- Round 3: {N} issues remain → escalated

Recommend: human review of the remaining issues above before re-running judgment day.

Skill Resolution Feedback

After every delegation that returns a result, check the **Skill Resolution** field in each judge/fix-agent response:

  • injected → skills were passed correctly ✅
  • fallback-registry, fallback-path, or none → skill cache was lost (likely compaction). Re-read the registry immediately and inject compact rules in all subsequent delegations.

This is a self-correction mechanism. Do NOT ignore fallback reports.


Language

  • Spanish input → Rioplatense: "Juicio iniciado", "Los jueces están trabajando en paralelo...", "Los jueces coinciden", "Juicio terminado — Aprobado", "Escalado — necesita revisión humana"
  • English input: "Judgment initiated", "Both judges are working in parallel...", "Both judges agree", "Judgment complete — Approved", "Escalated — requires human review"

Rules

  • The orchestrator NEVER reviews code itself — it only launches judges, reads results, and synthesizes
  • Judges MUST be launched as delegate (async) so they run in parallel
  • The Fix Agent is a separate delegation — never use one of the judges as the fixer
  • If user provides custom review criteria, include them in BOTH judge prompts (identical)
  • If target scope is unclear, stop and ask before launching — partial reviews are useless
  • Max 2 fix iterations — on the third failure, escalate with full report, do not loop forever
  • Always wait for BOTH judges to complete before synthesizing — never accept a partial verdict
  • Suspect findings (only one judge) are reported but NOT automatically fixed — triage and escalate to user if needed

Commands

# No CLI commands — this is a pure orchestration protocol.
# Execution happens via delegate() and delegation_read() tool calls.

平台分布

Codex

35.33%
按下载量换算43

Claude

28.46%
按下载量换算34

Cursor

19.94%
按下载量换算24

Gemini CLI

9.84%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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