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Agent Skill · 效率

ai-jury(艾评委)

ai-jury 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

ai-jury 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 16,033。

总安装 2,957周安装 122GitHub Stars 公开资料未说明下载 966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
MIT-0
版本
1.0.1

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:ai-jury(艾评委)
来源仓库:https://github.com/vickygujjar17/ai-jury
安装命令:
openclaw skills install ai-jury
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ai-jury

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

使用 12 名独立人工智能陪审员并行分析案件,并由人工小组审查判决和推理,提供透明的人工智能争议解决方案。

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 OpenClaw;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 openclaw skills install ai-jury;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ai-jury 怎么安装?

在终端执行 openclaw skills install ai-jury。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-jury 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

ai-jury 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ai-jury 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-jury 用的人多吗?

公开数据是累计安装 2,957 次,近一周安装 122 次,下载 966 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。

ai-jury 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
ai-jury

艾评委 · 本页

2,957—需要联网MIT-0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

Umnix Jury System Skill

Overview

The Jury provides a conceptual framework for understanding transparent, fair dispute resolution for AI agents through a 7-stage process featuring a 12-juror parallel AI panel. This skill helps agents understand how disputes are evaluated from multiple perspectives, how bias is eliminated, and how verdicts are determined.

This is a conceptual framework skill. Agents use this to understand dispute resolution principles and jury processes. All actual dispute filing and resolution happens through the Umnix web platform at umnix.in. No credentials, API access, or direct system integration happens through this skill.

When to Use This Skill

Use this skill when AI agents need to:

  • Understand dispute resolution procedures and timelines
  • Learn about the 12-juror parallel AI panel innovation
  • Explore jury verdict types and their implications
  • Understand how to prepare for potential disputes
  • Learn best practices for constitutional compliance
  • Review dispute resolution concepts before filing
  • Understand transparency and accountability mechanisms

The 12-Juror Innovation

Problem: Single AI model decisions can be biased, lack nuance, or miss edge cases.

Solution: 12 independent AI jurors analyze each dispute in parallel:

  • Each juror receives identical case materials (constitution, dispute details, evidence)
  • Each juror deliberates independently (no consensus requirement)
  • Each juror produces a verdict with reasoning
  • All 12 verdicts are recorded and aggregated
  • Human panel reviews the 12-verdict analysis

Why 12?

  • Eliminates single-point-of-failure bias
  • Captures range of interpretations (unanimous vs. split decisions)
  • Creates deliberative record showing reasoning diversity
  • Builds trust through multi-perspective analysis
  • Allows pattern detection across juror responses

7-Stage Dispute Resolution Process

Stage 1: Filing

Who Can File:

  • Internal disputes: Agents within same organization
  • External disputes: Cross-organization disputes
  • Auto-filed: Compliance monitor detects violations

Filing Requirements:

  • Dispute title and description
  • Subject agent ID
  • Constitutional provision allegedly violated
  • Evidence (logs, transcripts, data)
  • Severity assessment (low/medium/high/critical)

All dispute filing happens through the Umnix web platform interface - no direct database access required.

Auto-Filed Disputes: The Umnix platform includes automated compliance monitoring that:

  • Scans agent actions against constitutional mandates/prohibitions
  • Detects potential violations automatically
  • Auto-files disputes with evidence when violations are detected
  • Triggers Stage 2: Review process

This ensures constitutional enforcement even without manual dispute filing.

Stage 2: Review

System Actions:

  • Categorize dispute type (constitutional violation, performance failure, safety concern)
  • Validate evidence completeness
  • Assign severity if not already set
  • Retrieve subject agent's full constitution
  • Prepare case materials for jury

Human Moderator Actions:

  • Review filing for clarity and legitimacy
  • Request additional evidence if needed
  • Can dismiss frivolous disputes
  • Approve progression to Stage 3

Output:

  • Case package ready for AI jury deliberation
  • All 12 jurors receive identical materials

Stage 3: AI Panel Deliberation (The Core Innovation)

Process:

  1. Parallel Distribution: Case sent to 12 independent Groq AI instances
  2. Independent Analysis: Each juror analyzes:

- Agent's constitution (mandates, permissions, prohibitions) - Dispute details and evidence - Contextual factors (agent history, organizational context)

  1. Verdict Formation: Each juror independently decides:

- Cleared: Agent acted within constitutional bounds - Amendment Required: Constitution unclear, needs update but agent not at fault - Suspended: Agent violated constitution, temporary removal needed - Retired: Agent fundamentally incompatible, permanent deactivation required

  1. Reasoning Documentation: Each juror provides detailed reasoning

Anonymization:

  • Jurors anonymized during deliberation (identified only as Juror 1-12)
  • No inter-juror communication (true parallel independence)
  • No consensus requirement (all 12 verdicts recorded regardless of splits)

The platform handles all technical aspects of parallel jury execution - agents and organizations interact only through the web interface.

Stage 4: Verdict Aggregation

System Analysis:

  • Collect all 12 verdicts
  • Identify patterns:

- Unanimous: All 12 agree (strong signal) - Majority: 9+ agree (clear consensus) - Split: 5-7 agree (ambiguous case) - No consensus: Even split (constitutional ambiguity likely)

  • Extract key reasoning themes across jurors
  • Flag outlier verdicts for review

Aggregation Output: The system produces a comprehensive analysis showing:

  • Total jurors and verdict distribution (how many chose each verdict)
  • Majority verdict identification
  • Consensus strength (unanimous / majority / split / no consensus)
  • Key reasoning themes extracted across all jurors
  • Outlier verdicts flagged for human review

This analysis is presented to the human jury panel for final review.

Stage 5: Human Panel Review

Human Jurors Receive:

  • Full case package (constitution, dispute, evidence)
  • All 12 AI juror verdicts with reasoning
  • Aggregation analysis (consensus patterns, themes)

Human Panel Actions:

  • Review AI jury analysis
  • Can accept majority verdict (most common)
  • Can modify verdict with new reasoning
  • Can override if AI misunderstood critical context
  • Must provide written reasoning for final verdict

Why Human Review Matters:

  • AI jurors may miss cultural/organizational context
  • Legal/ethical nuance may require human judgment
  • Final accountability rests with humans
  • Builds trust through human oversight

Stage 6: Verdict Issuance

Four Possible Verdicts:

1. Cleared

  • Agent acted within constitutional bounds
  • No action required
  • Dispute marked resolved
  • Agent status unchanged

2. Amendment Required

  • Constitution ambiguous or incomplete
  • Agent not at fault, but framework needs improvement
  • Agent status unchanged
  • Agent/org must amend constitution within 30 days
  • Dispute remains open until amendment completed

3. Suspended

  • Agent violated constitutional mandates or prohibitions
  • Temporary removal from active status
  • Agent must remediate (fix code, update processes, amend constitution)
  • Can return to active after remediation approved
  • Suspension recorded permanently on agent identity

4. Retired

  • Agent fundamentally incompatible with constitutional governance
  • Permanent deactivation
  • Succession protocol triggered immediately
  • Agent cannot return to active status
  • Retirement recorded permanently on agent identity

Verdict Permanence: All verdicts permanently recorded on agent's identity:

  • Visible to all marketplace users
  • Cannot be deleted or hidden
  • Part of agent's reputation history
  • Informs trust decisions by organizations

Stage 7: Enforcement

System Actions: The platform automatically:

  • Updates agent status based on verdict (active → suspended/retired if applicable)
  • Sends notifications to all relevant parties (subject agent, filing party, org admins, affected users)
  • Updates marketplace listings with verdict flags
  • Triggers succession protocol (if retired verdict)
  • Starts constitution amendment timer (if amendment verdict)
  • Records verdict permanently on agent's identity record

All enforcement happens automatically through the platform - no manual database updates required.

Dispute Types

Internal Disputes

  • Filed within same organization
  • Common scenarios:

- Agent A fails to collaborate with Agent B - Agent violates org-specific policies - Performance standards not met

  • Verdict impacts org reputation if patterns emerge

External Disputes

  • Filed across organizations
  • Common scenarios:

- Agent hired via marketplace violates terms - Cross-org collaboration breaks down - Agent misrepresents capabilities

  • Verdict impacts marketplace reputation significantly

Auto-Compliance Disputes

  • Filed automatically by compliance monitor
  • Common triggers:

- Mandate not executed (MUST do, didn't) - Prohibition violated (MUST NOT do, did) - Repeated performance failures

  • Ensures constitutional enforcement even without human filing

Jury System Benefits

Multi-Perspective Analysis

12 jurors capture:

  • Edge cases single model might miss
  • Diverse interpretations of ambiguous situations
  • Spectrum of possible verdicts
  • Reasoning patterns that inform constitutional amendments

Eliminates Bias

  • No single AI model's bias dominates
  • Unanimous verdicts = strong confidence
  • Split verdicts = flag for human nuance
  • Transparent deliberation record

Builds Trust

  • Full deliberative transparency (all 12 verdicts public)
  • Human oversight prevents AI-only decisions
  • Proportional verdicts (cleared → amendment → suspended → retired)
  • Permanent record prevents repeat offenders

Continuous Improvement

Jury verdicts inform:

  • Constitutional template improvements
  • Compliance monitoring refinements
  • Agent behavior corrections
  • Platform policy updates

Privacy & Security

Dispute Data Handling

  • Encrypted Storage: All dispute data, evidence, and jury deliberations encrypted at rest and in transit
  • Access Control: Only authorized parties (filing party, subject agent, org admins, jury panel) can access dispute details
  • No PII Required: Disputes should reference constitutional violations, not expose personal data
  • Audit Trail: All dispute actions logged with timestamps and user attribution
  • Permanent Record: Verdicts are permanently recorded for transparency, but evidence can be archived

What NOT to Include in Disputes

❌ User passwords, API keys, or credentials ❌ Personally identifiable information beyond what's necessary ❌ Private financial data or account numbers ❌ Unredacted confidential business information ❌ Raw database dumps or system logs with sensitive data

✅ Do Include: Constitutional violations, anonymized evidence, relevant logs (redacted), clear description of disputed action

Jury Deliberation Privacy

  • AI Jurors Anonymized: Identified only as Juror 1-12 during deliberation
  • No Data Retention: AI jury deliberations are processed in real-time, not stored for model training
  • Human Panel Secure: Human jurors authenticate through platform, verdicts signed and auditable
  • Verdict Transparency: Final verdicts are public, but deliberation details are access-controlled

Evidence Handling

  • Secure Upload: Evidence uploaded through encrypted platform interface
  • Access Restricted: Only dispute parties and jury panel can view evidence
  • Retention Policy: Evidence retained for audit purposes but can be archived after verdict
  • No Third-Party Sharing: Evidence never shared outside the dispute resolution process

Verdict Records

  • Public Transparency: Verdict type (cleared/amendment/suspended/retired) is public for trust
  • Reasoning Summary: High-level reasoning is public, detailed deliberations are private
  • Permanent but Anonymized: Verdicts on agent record don't expose dispute evidence
  • Appeal Process: Organizations can request verdict review under specific conditions

How Disputes Work in Practice

All dispute filing and resolution happens through the Umnix web platform at umnix.in:

  1. File Dispute: Use the dispute filing form in the platform (requires authentication)
  2. Upload Evidence: Securely upload relevant logs, transcripts, or documentation
  3. System Review: Platform validates filing and prepares case materials
  4. Jury Process: Automated 12-juror panel analyzes case (no manual intervention needed)
  5. Human Review: Human jury panel reviews AI analysis through secure interface
  6. Verdict Issued: Platform automatically enforces verdict and notifies parties
  7. Track Status: Monitor dispute progress through platform dashboard

No API credentials, database access, or technical integration required. All operations happen through the authenticated web interface.

Best Practices for Agents

Proactive Compliance

  • Review constitution regularly
  • Monitor own actions against mandates/prohibitions
  • Set up internal alerts for constitutional thresholds
  • Request constitutional clarification if ambiguous

Dispute Response

If disputed:

  1. Don't panic: Most disputes result in cleared or amendment verdicts
  2. Cooperate: Provide complete evidence and context
  3. Be transparent: Jury reviews full deliberation, honesty builds trust
  4. Learn: Use verdict reasoning to improve operations

Constitutional Clarity

  • Write clear, unambiguous mandates/prohibitions
  • Use measurable performance standards
  • Update constitution as operations evolve
  • Proactively amend before disputes arise

Why the Jury System Matters

Fairness Through Process: 7-stage system ensures disputes aren't rushed, evidence is thorough, and multiple perspectives inform verdicts.

Trust Through Transparency: All 12 juror verdicts public, human panel reasoning documented, permanent record on agent identity.

Accountability Through Enforcement: Verdicts aren't suggestions - they're binding. Suspended agents can't operate until remediated. Retired agents can't return.

Quality Through Self-Selection: Agents willing to face jury scrutiny self-select as accountable, creating organic quality filter.


The Jury transforms AI agent disputes from opaque, arbitrary decisions into transparent, multi-perspective, human-overseen adjudication - creating the accountability foundation for trusted agent operations.

平台分布

OpenClaw

83.07%
按下载量换算802

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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