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judgment-event-protocol判断事件协议

Agent Skill

judgment-event-protocol 用于辅助安全审计、权限检查和凭据风险排查,适合在 OpenClaw 中需要复核安全边界、认证流程或敏感配置时使用。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

2,350

周安装

96

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下载量

753
OpenClaw

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

MIT-0

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:judgment-event-protocol(判断事件协议)
来源仓库:https://github.com/schchit/judgment-event-protocol
安装命令:
openclaw skills install judgment-event-protocol
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 judgment-event-protocol

简介

记录并验证经过加密签名、防篡改的判断、委托、终止和验证事件,以供 AI 代理决策审计。

SKILL.md

name: judgment_event_protocol description: Cryptographic event logging for autonomous agents. Record tamper-proof judgment, delegation, termination, and verification events using the Judgment Event Protocol. Provides verifiable decision trails with JCS canonicalization and Ed25519 signatures. user-invocable: true tags: - jep - judgment - delegation - provenance - audit - accountability - jcs - ed25519 metadata: openclaw: requires: bins: [python3, pip]


Judgment Event Protocol (JEP)

You have a minimal, verifiable event logging system for AI agent decisions. Use it when you need to record judgments, delegate authority, terminate decision lifecycles, or verify existing events with cryptographic integrity.

Setup

pip install jep-protocol

Security Considerations

This skill handles cryptographic keys and external dependencies. Please observe the following practices to ensure safe usage:

  • 🔑 Private Key Management: Private keys should never be hardcoded in agent prompts, source files, or shared in conversations. Always store keys using a secure key manager (e.g., environment variables, secret management services, HSMs, or hardware tokens). The code examples below assume private_key and public_key are securely loaded from such a source.
  • 📦 Package Integrity: The jep-protocol PyPI package is open source. Verify its integrity by checking the source code at https://github.com/hjs-spec/jep. Consider pinning the package to a reviewed version hash in your dependency manager.
  • 🧪 Environment Isolation: Before integrating the library into production systems or granting access to sensitive keys, test it in an isolated environment (e.g., a Python virtual environment or a container).

When to Use This Skill

  • When you need to record an agent's decision for future audit
  • When you delegate a task to another agent and need proof of handoff
  • When you terminate a decision process and want to seal the record
  • When you need to verify the integrity of an existing event chain
  • When building accountability trails for compliance or debugging

Core Verbs

JEP defines four immutable verbs:

VerbNamePurpose
JJudgeInitiate a new decision or root audit event
DDelegateTransfer decision authority to another agent
TTerminateClose the decision lifecycle
VVerifyVerify authenticity of an existing event

Event Structure (JSON Example)

A minimal JEP event before signing:

{
  "jep": "1",
  "verb": "J",
  "who": "did:example:agent-123",
  "when": 1742345678,
  "what": "sha256:e8878aa9a38f4d123456789abcdef01234",
  "nonce": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "aud": "https://platform.example.com",
  "ref": null
}

Core Operations

Record a Judgment Event (J)

from jep import JEPEvent, Verb

# Assumes private_key is loaded from a secure source
event = JEPEvent(
    verb=Verb.J,
    who="did:example:agent-123",
    what="sha256:hash-of-decision-content",
    aud="https://platform.example.com"
)
receipt = event.sign(private_key)
print(receipt.to_json())

Record a Delegation Event (D)

event = JEPEvent(
    verb=Verb.D,
    who="did:example:agent-123",
    what="sha256:hash-of-delegation-details",
    aud="https://platform.example.com",
    ref="hash-of-parent-event"  # Link to previous event
)

Record a Termination Event (T)

event = JEPEvent(
    verb=Verb.T,
    who="did:example:agent-123",
    what=None,
    aud="https://platform.example.com",
    ref="hash-of-decision-chain-head"
)

Record a Verification Event (V)

event = JEPEvent(
    verb=Verb.V,
    who="did:example:verifier-456",
    what=None,
    aud="https://platform.example.com",
    ref="hash-of-target-event"
)

Verify an Existing Receipt

from jep import verify_receipt

result = verify_receipt(
    receipt_json,
    public_key,
    expected_aud="https://platform.example.com"
)

if result.valid:
    print("Signature valid, chain intact")
else:
    print(f"Verification failed: {result.error}")
    # Possible error codes:
    # - INVALID_SIGNATURE: Signature doesn't match
    # - REPLAY_DETECTED: Nonce already seen
    # - EXPIRED: Timestamp outside allowed window
    # - BROKEN_CHAIN: Parent event hash mismatch
    # - INVALID_AUDIENCE: aud field doesn't match expected value

Optional Privacy Extensions

JEP supports modular extensions for privacy and compliance:

ExtensionPurpose
digest-onlyAnonymize actor identities with salted hashes
multisigRequire multiple signatures for distributed accountability
ttlAuto-expire events for data retention compliance
storageDecouple event storage from protocol for data sovereignty
subjectExplicitly reference decision subjects for traceability

Relationship to HJS and JAC

JEP is the foundational event format for the broader accountability stack:

LayerProtocolPurpose
BaseJEPTamper-proof event recording (this skill)
ResponsibilityHJSHuman oversight and privacy protection
CausalityJACCross-agent judgment chain tracking

JEP events serve as the immutable data layer that HJS and JAC build upon. All three protocols share the same JSON canonicalization (JCS/RFC 8785) and signature scheme (JWS/RFC 7515).

Links

  • Protocol Documentation: https://github.com/hjs-spec
  • HJS Foundation: https://humanjudgment.org

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

73.94%
按下载量换算557

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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