evid-four-check

电子证据四性审查判定器——基于官方规则源的零依赖决策支持工具，JSON IR 输出，覆盖TH-LAW-001域。 适用场景：当需要电子证据四性审查判定器能力时使用本技能；触发词：合规、判定器、TH-LAW-001、evid-four-check。

凡自治之物 · LGD 治理学 · 创造术家族 ｜ 评测协议：见平台质量门禁规范

English

When to use

Use it in legal settings such as courts or arbitral tribunals, when the compliance of electronic evidence must be reviewed against court-admission standards. It also fits the front-end of a legal-AI decision chain, where multi-source heterogeneous data must be converted into a standardized JSON IR for downstream systems to parse. It further fits deployments with no external-script dependency constraints, where a local rule base must deliver a zero-risk, auditable determination of the four properties of electronic evidence — authenticity, legality, relevance and integrity.

Usage

Submit the electronic evidence dataset to be reviewed directly through the skill's configuration interface, and pass domain=TH-LAW-001 to lock the rule-source scope. No external script needs to be loaded: just set input_data (path to the evidence package), output_format=json (forces JSON IR) and strict_mode=true (enables strict determination). When the run finishes, read the skill response object directly — it contains the standard JSON result with metadata, decision logic and confidence, needing no extra conversion tool.

Workflow

1. Initialization & validation: auto-load the official TH-LAW-001 rule base, receive the user's evidence input and verify completeness.
2. Parallel review: launch four sub-modules — authenticity, legality, relevance, integrity — to judge the evidence independently.
3. Result fusion: compare each sub-module's conclusion against preset thresholds, producing an overall compliance score and anomaly flags.
4. Report serialization: wrap the analysis logic into a JSON IR structure, embedding a metadata index for later traceability.
5. Return via the standard interface: push a standardized response package so downstream systems can parse it directly.
6. Log archival: automatically record the review-process hash and operation logs, forming a tamper-evident audit trail.

Evidence & safety statement

• Evidence: TBD (no evaluation / badge link yet; update here once it is produced)
• Version: 1.0.1
• Security: no independent security scan has been performed (TBD); the conclusion is pending and no endorsement is given until it is completed. This is AI-assisted decision support, not legal advice or a legal conclusion — verify against official texts.

中文

何时用

适用于法院、仲裁庭等法律环境下的电子证据合规性审查场景，确保输出结果符合法庭采信标准。 适用于构建法律 AI 决策链路的前端环节，需要将多源异构数据转换为标准化 JSON IR 格式供下游系统解析的集成环境。 适用于无外部脚本依赖约束的项目部署，要求利用本地规则库实现零风险、可审计的电子证据四性（真实性、合法性、关联性、完整性）判定需求。

用法

直接通过技能配置接口提交待审查电子证据数据集合，并传入 domain=TH-LAW-001 以锁定规则源范围。 调用时无需加载任何外部脚本文件，仅需设置参数 input_data（证据包路径）、output_format=json（强制 JSON IR）及 strict_mode=true（开启严格判定）。 系统运行结束后，直接读取技能响应对象即可获取包含元数据、判定逻辑及置信度的标准 JSON 结果，无需额外转换工具。

流程

1. 初始化与校验：自动加载 TH-LAW-001 官方规则库，接收用户输入的证据数据并验证完整性。
2. 并行审查执行：分别启动真实性、合法性、关联性、完整性四个子模块对证据进行独立判定。
3. 结果融合分析：比对各子模块结论与预设阈值，生成综合合规性评分及异常标记。
4. 报告序列化：将分析逻辑封装为 JSON IR 结构，嵌入元数据索引以便后续溯源验证。
5. 返回标准接口：向调用方推送标准化响应包，确保下游系统可直接解析使用。
6. 日志归档：自动记录审查过程哈希值与操作日志，形成不可篡改的审计轨迹。

证据与安全声明

• 证据：TBD（暂无评测/徽章链接；产生后在此更新实际链接）
• 版本：1.0.1
• 安全：未做独立安全扫描（TBD），结论待补；补全前不作推荐背书。本工具为 AI 辅助决策支持，非法律意见、非法律结论——请对照官方文本核实。