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在 OpenClaw 中安装
/install issue-request-manager
功能描述
管理Issue Request的整个生命周期,从创建、跟踪到回复。支持多平台集成(GitHub, GitLab, Jira等),实时状态跟踪,自动化通知系统。
使用说明 (SKILL.md)
Issue Request Manager Skill
功能概述
本技能用于管理Issue Request的整个生命周期:从创建、跟踪到回复,提供完整的项目管理和问题跟踪解决方案。
核心功能
- Issue Request创建与分类
- Issue Request状态跟踪与监控
- Issue Request回复与沟通
- 通知与提醒机制
使用场景
- 项目管理
- 客户支持系统
- 开发缺陷跟踪
- 任务分配与跟进
技术特点
- 支持多平台集成(GitHub, GitLab, Jira等)
- 实时状态跟踪
- 自动化通知系统
- 可扩展的插件架构
快速开始
- 创建新Issue Request:
create issue "描述" - 跟踪Issue状态:
track issue #123 - 回复Issue:
reply to issue #123 "回复内容"
命令参考
create issue "\x3C标题>"- 创建新问题track issue #\x3C编号>- 跟踪指定问题reply to issue #\x3C编号> "\x3C回复内容>"- 回复问题assign issue #\x3C编号> to \x3C用户>- 分配问题给用户set priority #\x3C编号> to \x3C级别>- 设置问题优先级close issue #\x3C编号>- 关闭问题
安全使用建议
This package implements a local Python issue-tracker and a WeChat notifier — but its README/SKILL.md overstates capabilities (mentions GitHub/GitLab/Jira integration and REST API endpoints that do not exist). Before installing: 1) don't put secrets (WeChat corp_id/secret) into the repository; prefer environment variables or a secure secrets store; 2) if you expect GitHub/GitLab/Jira integration or a REST API, require the author to supply the missing code or confirm how OAuth/tokens and a server should be configured; 3) test in a local/sandbox environment first (it will create data/issues.json and may make outbound requests to qyapi.weixin.qq.com when notifications are enabled); 4) review any changes you make to config.json and ensure network and token usage meet your security policy. The mismatches are likely sloppy/documentation drift rather than malicious, but verify before providing any credentials.
功能分析
Type: OpenClaw Skill
Name: issue-request-manager
Version: 1.0.0
The issue-request-manager skill bundle is a legitimate project management tool designed to handle the lifecycle of issue requests. It features modular components for issue creation, tracking, and database persistence using local JSON files (ir_database.py), along with an optional WeChat notification system (wechat_notifier.py) that communicates with official enterprise WeChat API endpoints. The code is well-documented, follows its stated purpose, and shows no signs of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
The skill's name/description advertise multi-platform integration (GitHub, GitLab, Jira) and REST API endpoints, but the included code implements only an in-process Python issue manager, local file persistence, and an optional WeChat notifier. There is no code for GitHub/GitLab/Jira API integration, OAuth/token handling, or any HTTP server to provide the advertised REST endpoints, so the stated capabilities do not match the actual code.
Instruction Scope
SKILL.md shows simple commands (create/track/reply) but does not map how an agent should invoke the Python functions or run a server. Example files read config.json and, when enabled, call the WeChat API. The runtime instructions and examples encourage storing WeChat corp_id/secret/agent_id in config.json or passing them to init_wechat_notifier; this means the skill will read local files and make outbound HTTP calls to qyapi.weixin.qq.com when configured. The instructions are high-level and omit the missing integration/auth steps for external platforms.
Install Mechanism
This is an instruction-and-code-only skill with no install spec. Dependencies are listed in requirements.txt (requests, json5). No downloads from arbitrary URLs or executable installers are present.
Credentials
The skill declares no required environment variables or primary credential, yet it supports WeChat notifications which require corp_id/secret/agent_id. Those secrets are expected to be provided via config.json or function arguments — storing secrets in a repo/file is risky. Also the code does not request GitHub/GitLab/Jira credentials despite claiming those integrations.
Persistence & Privilege
The skill writes local persistent state (data/issues.json) and reads its config.json. It does not request elevated privileges and is not always-enabled. Persisting issue data locally is expected for this functionality, but users should note data is stored in the local filesystem.
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 issue-request-manager - 安装完成后,直接呼叫该 Skill 的名称或使用
/issue-request-manager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
元数据
常见问题
issue-request-manager 是什么?
管理Issue Request的整个生命周期,从创建、跟踪到回复。支持多平台集成(GitHub, GitLab, Jira等),实时状态跟踪,自动化通知系统。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 244 次。
如何安装 issue-request-manager?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install issue-request-manager」即可一键安装,无需额外配置。
issue-request-manager 是免费的吗?
是的,issue-request-manager 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
issue-request-manager 支持哪些平台?
issue-request-manager 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 issue-request-manager?
由 Viv888-AI(@viv888-ai)开发并维护,当前版本 v1.0.0。
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