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在 OpenClaw 中安装
/install auto-weekly-report-system
功能描述
全自动周报系统。定时收集v3.5、InStreet、价格监控等数据，生成周报并发布到企业微信文档。当需要自动化报告生成、团队数据同步、定时数据汇总时使用。
使用说明 (SKILL.md)
Auto Weekly System
快速使用
生成本周报告：
python3 scripts/generate_weekly.py
发布到企业微信：
python3 scripts/publish.py --title "项目周报 2026-03-21"
完整流程（生成+发布）：
python3 scripts/full_pipeline.py
功能模块
1. 数据收集 (collector.py)
- v3.5 生产数据
- InStreet 回复统计
- 价格监控变动
- 系统健康检查
2. 报告生成 (generator.py)
- Markdown 格式化
- 数据可视化（表格、趋势）
- 异常高亮
3. 发布系统 (publisher.py)
- 创建企业微信文档
- 写入 Markdown 内容
- 返回分享链接
定时任务
建议设置：
# 每周五下午5点自动生成并发布
cron add --name "auto-weekly" --schedule "0 17 * * 5" \
--command "python3 /path/to/full_pipeline.py"
数据依赖
/tmp/v35_migration_config.json- v3.5配置/tmp/agent_v35_production.log- v3.5运行日志/tmp/instreet_reply.log- InStreet日志/tmp/price_monitor_db.json- 价格数据库
安全使用建议
This skill is internally coherent for producing weekly reports from local logs and preparing commands to publish to WeCom, but do the following before installing or scheduling it: 1) Fix the invocation mismatch: SKILL.md/README reference scripts/generate_weekly.py but the repository provides generator.py (run python3 scripts/generator.py or use full_pipeline.py). 2) Verify /tmp data files (agent_v35_production.log, instreet_reply.log, price_monitor_db.json) — they may contain sensitive info; ensure the process has permission only to needed files. 3) Understand publishing is manual: publisher.py prints wecom_mcp commands and writes shell scripts; you must have the wecom_mcp CLI and appropriate WeCom credentials in your environment to perform actual publishing. 4) Cron: run the scheduled job as a non-privileged user and consider using a dedicated directory (not world-writable /tmp) if you want to reduce risk of other users tampering with generated scripts. 5) Review the saved shell scripts (/tmp/publish_weekly.sh, /tmp/publish_commands.sh) before executing. If you need tighter security, run the workflow inside an isolated container or VM and audit the logs the skill will read.
能力评估
Purpose & Capability
The skill declares an auto weekly report system and the included Python scripts implement data collection (from /tmp logs), report generation, and publishing helper commands for WeCom — these requirements align with the stated purpose. The files accessed (/tmp/* logs and json) match the described data dependencies.
Instruction Scope
SKILL.md and README instruct running generation and publish steps and scheduling a cron job; this stays within the expected scope. However, SKILL.md references scripts/generate_weekly.py (and README mentions generate_weekly.py) but the repo provides generator.py (which implements the generator) — a filename mismatch that will confuse users. The publisher does not perform live API calls but emits wecom_mcp command templates and saved shell scripts for manual execution; this is explicit in the code.
Install Mechanism
No install spec or external downloads are present (instruction-only install). All code is provided in the skill bundle; nothing is pulled from external URLs during install, so install risk is low.
Credentials
The skill requests no environment variables or credentials, which is coherent because publisher.py only prints wecom_mcp commands and requires the user to supply credentials manually. Be aware that actually publishing to WeCom will require the wecom_mcp CLI or API credentials (not requested by the skill). The scripts read local files under /tmp which could contain sensitive information; reading those files is proportional to the stated data-collection purpose but warrants review of those files before use.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or global agent settings. The scripts write temporary outputs and shell scripts under /tmp (weekly_data.json, weekly_report_auto.md, publish scripts) which is reasonable for this utility but should be considered when choosing the runtime user and scheduling cron jobs.
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 auto-weekly-report-system - 安装完成后，直接呼叫该 Skill 的名称或使用
/auto-weekly-report-system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: fully automated weekly report system with data collection, report generation, and WeCom publishing
元数据
常见问题
Auto Weekly Report System 是什么？
全自动周报系统。定时收集v3.5、InStreet、价格监控等数据，生成周报并发布到企业微信文档。当需要自动化报告生成、团队数据同步、定时数据汇总时使用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 138 次。
如何安装 Auto Weekly Report System？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install auto-weekly-report-system」即可一键安装，无需额外配置。
Auto Weekly Report System 是免费的吗？
是的，Auto Weekly Report System 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Auto Weekly Report System 支持哪些平台？
Auto Weekly Report System 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 Auto Weekly Report System？
由 rf-AI-WH（@rf-ai-wh）开发并维护，当前版本 v1.0.0。
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