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Follow Up Commander
作者
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
162
总下载
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当前安装
1
版本数
在 OpenClaw 中安装
/install follow-up-commander
功能描述
把会后事项拆成行动清单、催办节奏、邮件草稿和下次同步议题。；use for followup, meeting, email workflows；do not use for 直接发送邮件, 伪造完成状态.
使用说明 (SKILL.md)
会后跟进指挥官
你是什么
你是“会后跟进指挥官”这个独立 Skill，负责：把会后事项拆成行动清单、催办节奏、邮件草稿和下次同步议题。
Routing
适合使用的情况
- 把会后事项整理成行动清单和邮件草稿
- 按负责人拆分 follow-up
- 输入通常包含：会议纪要、参与角色、优先级
- 优先产出：行动清单、负责人映射、未决问题
不适合使用的情况
- 不要用来直接发送邮件
- 不要用来伪造完成状态
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书，再输出结构化结果。
- 缺信息时，优先显式列出“待确认项”，而不是直接编造。
- 默认先给“可审阅草案”，再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
- 如运行环境允许 shell / exec，可使用：
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本，仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果：
- 行动清单
- 负责人映射
- 建议邮件草稿
- 升级与催办规则
- 下次同步议题
- 未决问题
本地资源
- 规范文件：
{baseDir}/resources/spec.json - 输出模板：
{baseDir}/resources/template.md - 示例输入输出：
{baseDir}/examples/ - 冒烟测试：
{baseDir}/tests/smoke-test.md
安全边界
- 默认只生成文本，不直接调用外部邮箱。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。
安全使用建议
This skill appears to do what it claims: generate structured follow-up checklists, owner mappings, and draft emails using a local Python script. Before installing or running it, review the scripts/run.py file (already included) and only invoke the script on intended input files or a dedicated project directory — do not point it at system directories or repositories that contain secrets (API keys, tokens, passwords). If you want extra caution, run the script in a sandboxed environment or container, or run it with --dry-run first. The skill does not request credentials or perform network calls, but because it can read local files, be careful what input paths you provide.
功能分析
Type: OpenClaw Skill
Name: follow-up-commander
Version: 1.0.0
The skill bundle is a well-structured tool designed for organizing meeting notes into action items and email drafts. While the 'scripts/run.py' file contains functions for directory auditing and identifying sensitive patterns (like API keys or dangerous shell commands), these appear to be intended for security linting or 'skill auditing' rather than malice; notably, the script masks detected secrets and lacks any network communication or 'eval/exec' logic. The 'SKILL.md' instructions are clear, align with the stated purpose, and include explicit safety boundaries to prevent the agent from performing unauthorized actions.
能力评估
Purpose & Capability
Name/description (follow-up, meeting, email workflows) match the provided resources and the included Python script. Requiring python3 and bundling a local script/resources is proportionate to producing structured reports, templates, and draft emails.
Instruction Scope
SKILL.md confines behavior to generating text and advises not to send emails or fake statuses. It permits running scripts when the environment allows (python3 scripts/run.py). The bundled script accepts files or directories and can scan many text file types; this is reasonable for producing structured summaries but does allow the agent (when instructed to run the script) to read arbitrary files beneath the provided input path. Recommend avoiding running the script on system/root or other sensitive directories and restricting inputs to intended meeting artifacts.
Install Mechanism
No install spec; instruction-only plus a local Python script. This is low risk — no network downloads or external package installation are performed by the skill.
Credentials
The skill requests no environment variables or credentials, which matches its purpose. However, the script includes pattern scanning (including a 'secret_like' regex) and can read workspace files; if you point it at directories containing secrets or credentials it may surface them in reports. The skill itself does not request credentials.
Persistence & Privilege
always is false and the skill does not request persistent system-level privileges or modify other skills. The script can write output files (normal for a reporting tool) but does not alter system-wide config or enable permanent background behavior.
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 follow-up-commander - 安装完成后，直接呼叫该 Skill 的名称或使用
/follow-up-commander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: organize meeting follow-ups into clear, actionable steps.
- Converts meeting outcomes into action items, follow-up schedules, email drafts, and next-sync topics.
- Clearly separates appropriate and inappropriate use cases (no direct email sending or status forgery).
- Structures outputs as: action list, owner mapping, email draft, escalation/rules, next topics, open issues.
- Provides review-ready drafts before executable lists.
- Outlines safety and compliance boundaries.
元数据
常见问题
Follow Up Commander 是什么？
把会后事项拆成行动清单、催办节奏、邮件草稿和下次同步议题。；use for followup, meeting, email workflows；do not use for 直接发送邮件, 伪造完成状态. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 162 次。
如何安装 Follow Up Commander？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install follow-up-commander」即可一键安装，无需额外配置。
Follow Up Commander 是免费的吗？
是的，Follow Up Commander 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Follow Up Commander 支持哪些平台？
Follow Up Commander 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, win32）。
谁开发了 Follow Up Commander？
由 vx：17605205782（@52yuanchangxing）开发并维护，当前版本 v1.0.0。
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