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在 OpenClaw 中安装
/install team-weekly-report
功能描述
团队周报汇总技能。收集组员周报图片，按「部门管理」和「项目管理」两大维度分类汇总，对比本周完成情况与上周计划，生成纯文本团队周报。当用户说"汇总周报"、"整理周报"、"生成周报"、"这是周报"（配图）、"项目进度汇总"时触发。支持分批收集、持久化存储、纵向对比。
安全使用建议
This skill appears to do what it says: it OCRs images you provide, stores extracted report entries under memory/weekly-reports as JSON, and generates a plain-text weekly summary with a focused compare-to-last-week section. It asks for no credentials and has no install steps. Before enabling: 1) confirm you are comfortable with report data (names, tasks, hours) being stored persistently at memory/weekly-reports and decide on a retention/cleanup policy; 2) verify OCR accuracy on sample images (fuzzy matching can misclassify some items); and 3) ensure you trust the agent runtime (the skill does not transmit data externally, but the platform running the skill could). If you need stricter privacy, avoid sending personally sensitive images or add an explicit step to encrypt or purge stored JSONs.
功能分析
Type: OpenClaw Skill
Name: team-weekly-report
Version: 1.0.0
The skill is designed to automate the collection and summarization of team weekly reports by extracting data from images (OCR) and persisting it in local JSON files within the 'memory/weekly-reports/' directory. The logic in SKILL.md and the template in references/report-template.md are strictly aligned with the stated purpose of report management and do not contain any indicators of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
Name/description match the instructions: the skill collects weekly-report images, runs OCR, groups items by department/project, compares with last week, and writes a plain-text report. It requires no external credentials or unrelated binaries and stores data under a local memory path, which is proportional to the stated purpose.
Instruction Scope
SKILL.md limits operations to processing user-supplied images via the platform 'image' tool, extracting specified report fields, appending/reading JSON files under memory/weekly-reports, and generating text output. It does not instruct reading unrelated system files, accessing environment variables, or sending data to external endpoints. Note: it persistently stores potentially sensitive PII (names, tasks, hours) locally — this is expected for the feature but is a privacy consideration.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written beyond the defined memory files. This is the lowest-risk install posture.
Credentials
The skill declares no environment variables, credentials, or config paths. The actions described (OCR of user images and local JSON storage) do not require secrets. There is no request for unrelated credentials.
Persistence & Privilege
The skill persists weekly data under memory/weekly-reports and reads prior-week files for comparison. It does not request always:true or modify other skills. Persistence is expected for this use-case, but users should be aware that the stored JSONs may contain personal or sensitive information and consider retention/cleanup policies.
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 team-weekly-report - 安装完成后，直接呼叫该 Skill 的名称或使用
/team-weekly-report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
team-weekly-report v1.0.0
- 首次发布，支持团队周报的图片收集、分类、归档与纯文本汇总输出
- 自动将内容分为「部门管理」与「项目管理」两大维度
- 支持对比上周计划与本周完成，智能标注未达成及新增项
- 所有数据持久化分周存储，便于历史检索
- 输出结构清晰、纯文本格式，可直接复制使用
元数据
常见问题
Team Weekly Report Generator 是什么？
团队周报汇总技能。收集组员周报图片，按「部门管理」和「项目管理」两大维度分类汇总，对比本周完成情况与上周计划，生成纯文本团队周报。当用户说"汇总周报"、"整理周报"、"生成周报"、"这是周报"（配图）、"项目进度汇总"时触发。支持分批收集、持久化存储、纵向对比。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 96 次。
如何安装 Team Weekly Report Generator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install team-weekly-report」即可一键安装，无需额外配置。
Team Weekly Report Generator 是免费的吗？
是的，Team Weekly Report Generator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Team Weekly Report Generator 支持哪些平台？
Team Weekly Report Generator 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 Team Weekly Report Generator？
由 gotoloops（@gotoloops）开发并维护，当前版本 v1.0.0。
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