Gov Disclosure Check（政务公开披露校验）

Check government disclosure documents for required fields — decision basis, responsible department, response deadline, remedy channel and data source — and list what is missing before publication. gov-disclosure-check — LGD 三律在政务 / 信息公开披露域的纵深合规工具（零依赖）：强制披露字段校验（决策依据/责任部门/时限/救济渠道/数据来源），对 AI 系统/数据做可执行合规校验。

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

1. Before AI-generated government documents, policy interpretations or decision reports, when the output must contain mandatory fields such as "decision basis", "responsible department" and "remedy channel".
2. When the system handles information-disclosure requests, for real-time checks that data sources and publication deadlines meet legal requirements.
3. When auditing historical government-interaction data for compliance, auto-scanning missing key disclosures and generating a remediation list.
4. Before cross-platform data migration or API-document integration, running one completeness check so deliverables stay traceable.

Usage

Call the core script gov_disclosure_check.py for local build verification; dependencies are expected under __pycache__. The CLI -i flag points at the text to check (JSON or Markdown), and -l enables logging. In document mode, read the input file directly and run gov_disclosure_check.py --validate in the console — no extra dependency installation needed. Pass the target data object through the agent interface to trigger the internal check engine.

Workflow

1. Confirm the completeness of the raw input — government text or system data.
2. Run the gov_disclosure_check.py loader to extract the mandatory disclosure fields (decision basis, responsible department, etc.).
3. Compare against the LGD three-laws standard on both field-missing-ness and format compliance.
4. Generate a structured report with pass/fail status and details of each violation.
5. If the check fails, auto-flag the anomalous entries and output actionable fix suggestions.
6. Confirm the final compliance status — either allow publication, or enter the fix loop and re-run the script.

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.

中文

何时用

1. AI 生成政务公文、政策解读或决策报告前，需确保输出内容包含“决策依据”、“责任部门”及“救济渠道”等强制字段。
2. 当系统处理信息公开申请时，用于实时校验数据来源与发布时限是否符合法律三律要求。
3. 在对政务交互历史数据进行合规审计时，自动扫描缺失的关键披露信息并生成整改清单。
4. 在进行跨平台数据迁移或 API 文档集成前，执行一次完整性检查以保证交付物可溯源。

用法

调用核心脚本 gov_disclosure_check.py 进行本地编译环境验证，确保依赖环境在 __pycache__ 目录下已就绪。命令行参数 -i 指定待校验的文本内容（如 JSON、Markdown 格式），参数 -l 开启日志记录模式。若技能处于文档型模式，需直接读取输入文件并在控制台执行 gov_disclosure_check.py --validate，无需手动安装额外依赖库。通过 Agent 接口传入目标数据对象即可触发脚本内部校验引擎。

流程

1. 确认待处理政务文本或系统数据的原始输入完整性。
2. 执行 gov_disclosure_check.py 加载器，提取强制披露字段（决策依据、责任部门等）。
3. 对照 LGD 三律标准进行字段缺失度与格式合规性双重比对。
4. 生成包含通过/失败状态及具体违规项详情的结构化报告。
5. 若校验失败，自动标记异常条目并输出可执行修改建议。
6. 确认最终合规状态，允许发布或进入修正流程后重新调用脚本。

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。

Triggers / 触发词

这些是用户真实会说的话（中 / 英对照），命中任一即应加载本技能：

• 「这份公开答复缺了哪些要素」 / "what is missing from this public reply"
• 「政务公开稿发布前要核字段」 / "check the fields before we publish this notice"
• 「信息公开申请回复超时了」 / "our disclosure request reply went past the deadline"
• 「文书里没写责任部门」 / "the document does not name a responsible department"
• 「救济渠道那栏老是空着」 / "the remedy channel field is always left blank"
• 「历史答复要批量查漏」 / "batch check old replies for missing items"

Trigger when the user says any of the above, in Chinese or English.

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Ecosystem / 生态入口

This skill is one door of the LGD ecosystem — every entry below is publicly reachable. 本技能是 LGD 生态 的一个入口，下列地址均对公网可达。

• Ecosystem hub / 生态总入口: https://zhaoxinghua09-cell.github.io/lgd-hub/
• LGD theory (canonical) / 理论正本: https://github.com/zhaoxinghua09-cell/LGD
• Formal paper (DOI) / 形式化论文: https://doi.org/10.5281/zenodo.22456647
• Protocol & reference implementation / 协议与参考实现: https://github.com/zhaoxinghua09-cell/uibc-core
• Source of this skill / 本包源码: https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/gov-disclosure-check
• All published skills / 全部已发布技能: https://github.com/zhaoxinghua09-cell/agent-skills
• AI-readable index / AI 说明书: https://github.com/zhaoxinghua09-cell/agent-skills/tree/main/skills/gov-disclosure-check/llms.txt

Looking for something else? / 还想要别的？

Tell your AI assistant: "Find me an LGD skill that can " — the hub lists every published skill with a one-line purpose. 跟你的 AI 助手说一句「去 LGD 生态超市找能……的技能」，总入口按用途列全了所有已发布技能。