Publish Quality Gate（发布质量门禁）

Pre- and post-publish quality gate for any skill, expert pack, document or tool: four-layer sensitive-info checks (company → machine → personal → confidential) before release and TRACE five-dimension review after. 发布质量门禁：发布任何 Skill/专家包/文档/工具到外部前后做质量检查——发布前四层敏感信息检查（公司→本机→个人→机密），发布后按 TRACE 五维（Trust/Reliability/Adaptability/Convention/Effectiveness）AI 自测。

zhaoxinghua09-cell@zhaoxinghua09-cell

Install

openclaw skills install @zhaoxinghua09-cell/publish-quality-gate

凡自治之物 · LGD 治理学 · 创造术家族｜评测协议：skill-quality-gate

English

Publish Quality Gate

When to use

When a skill, expert pack, document, or tool is about to be distributed externally (shared or listed on a marketplace).
When the conversation hits triggers like "ready to publish", "desensitization check", or "TRACE review".
When four-layer sensitive-info review and TRACE five-dimension pre/post-publish validation are needed.

How to use

Core script: python scripts/check_release.py.
Args: --release_type (content type) and --mode (pre/post publish).
Trigger via natural language ("start desensitization") or by providing the artifact path.

Workflow

Capture intent and confirm triggers.
Run four-layer sensitive-info checks (company → machine → personal → confidential) and block violations.
If post-publish, run the TRACE five-dimension (Trust/Reliability/Adaptability/Convention/Effectiveness) self-test.
Summarize results into a quality report with pass/fail status.
Report the final verdict and log the full detection record.

Evidence & safety

Evidence: TBD; Version: 1.0.2; Security: no independent scan (TBD).

中文

发布质量门禁

何时用

用户计划把 Skill、专家包、文档或工具分发到外部平台（分享、上架市场）时。
对话中出现「准备发布」「脱敏检查」「TRACE 评测」等触发词时。
需要对发布物做四层敏感信息审查与 TRACE 五维 AI 自测的前后验证。

用法

核心脚本：python scripts/check_release.py。
参数：--release_type（内容类型）、--mode（发布前后）。
通过自然语言指令触发，或提供发布物路径。

流程

捕获意图并确认触发 → 执行四层敏感信息检查（公司→本机→个人→机密）并拦截违规 → 发布后启动 TRACE 五维 AI 自测 → 汇总生成质量报告标记通过/失败 → 反馈结论并记录检测日志。

证据与安全声明

证据：TBD；版本：1.0.2；安全：未做独立安全扫描（TBD）。

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/publish-quality-gate
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/publish-quality-gate/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。

Data handling / 数据处理边界

默认不向任何外部地址发送数据：扫描结果、报告、命中明细一律只写本地或只打印到当前会话。
如需外发（告警、工单、邮件、IM），必须由人先明确指定接收方，并在每次发送前逐次确认；本技能不预设、也不硬编码任何接收端。
只处理调用者明确指定的目标路径，不遍历无关目录，不跟随符号链接，不读取目标之外的凭据文件。
命中内容在输出时按需脱敏，避免把敏感原值写进日志或对话记录。