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在 OpenClaw 中安装
/install material-review
功能描述
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审...
安全使用建议
This skill appears to do what it says: it parses .docx submission files and produces issue lists and structured data locally. Before using it: (1) Review the bundled script if you can (it runs locally and in the provided fragment has no network calls). (2) Do not process documents that contain live credentials or secrets you don't want extracted — the script will parse fields like DB IP/port/password notes if those are present in the submission. (3) Note the metadata lists markdownlint-cli2 though the skill doesn't use it; that may be a harmless metadata artifact but could cause an expectation of that tool being available. If you have any doubt, run the script in an isolated environment or inspect the rest of the script (the provided file was truncated in the manifest) to confirm there are no unexpected network operations.
功能分析
Type: OpenClaw Skill
Name: material-review
Version: 1.0.0
The skill bundle is a legitimate tool designed to audit data-sharing submission documents (.docx). The Python script (material_review_audit.py) uses standard libraries like zipfile and xml.etree.ElementTree to parse document content and apply business logic rules defined in the reference markdown files. There is no evidence of data exfiltration, malicious execution, obfuscation, or prompt injection attempts.
能力评估
Purpose & Capability
Name/description, SKILL.md, reference docs, and the included Python audit script all align: they parse .docx submissions, apply field/rule checks, and produce structured output and issue lists. One inconsistency: the skill metadata declares a required binary (markdownlint-cli2) but neither the SKILL.md nor the included script references or needs this linter. This is likely an unnecessary/declarative requirement rather than malicious.
Instruction Scope
SKILL.md explicitly instructs the agent to run the bundled script against user-supplied .docx files and templates and to produce local output files (structured_data.json, issues.json, audit_report.md). The instructions do not ask for unrelated system files, extra environment variables, or network endpoints. The script parses document contents (including fields like DB IP/password if present in the document) — which is expected for form auditing but means sensitive values embedded in submissions will be read and included in outputs.
Install Mechanism
There is no install spec (the package is run directly), which is low risk. The skill bundles a Python script (no external downloads). The only minor concern is the declared required binary (markdownlint-cli2) without an install path or use; absence of an install spec means the agent may fail if that binary is expected but missing, but this is a usability/metadata issue, not an active risk.
Credentials
The skill does not request environment variables or external credentials. The script extracts information from user-supplied documents (which can include sensitive fields such as database IPs, ports, or password notes); this is proportionate to the stated purpose but users should avoid feeding documents containing secrets they don't want processed or stored.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modify other skills. It writes output to a user-specified output directory only. No signs of it attempting to alter agent configuration or persist beyond its expected output files.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install material-review - 安装完成后，直接呼叫该 Skill 的名称或使用
/material-review触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of "material-review" skill for systematic review of data sharing catalog materials.
- Introduces a 6-step audit workflow covering scope, field completeness, special rules, table selection, platform consistency, and output of issue lists.
- Provides clear principles to ensure traceable, actionable feedback and consistency between documentation and platform.
- Includes an audit script for automated extraction, checking, and issue list generation based on submitted templates and rules.
- Detailed reference guides and output formats are provided to support accurate, standardized review and reporting.
元数据
常见问题
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」. 是什么？
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 257 次。
如何安装 Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」.？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install material-review」即可一键安装，无需额外配置。
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」. 是免费的吗？
是的，Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」. 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」. 支持哪些平台？
Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」. 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Use when user wants to review material forms for data sharing catalogs, field completeness, platform consistency, and issue-list output. Triggers include「材料审核」「共享清单审核」「检查文档审查」「平台对接核对」「编目一致性检查」.？
由 li.haojie（@github7265）开发并维护，当前版本 v1.0.0。
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