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zhangqiang327

Qingbo Search

作者 zhangqiang327 · GitHub ↗ · v1.0.1
cross-platform ✓ 安全检测通过
319
总下载
3
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install qingbo-search
功能描述
通过清博开放平台,根据关键词、时间和媒体类型检索并返回相关网络文章标题、链接及发布时间等信息。
安全使用建议
This skill appears to do exactly what it says: query the Qingbo-like API using an app_key and app_secret stored in config.json. Before installing, consider: 1) Do NOT commit config.json containing app_key/app_secret to source control — treat them as secrets. 2) Prefer storing credentials in a secrets manager or environment variables rather than an on-disk plaintext file. 3) The code calls the API using http://databus.gsdata.cn:8888 (plain HTTP). Ask the maintainer to use HTTPS (or verify the service requires HTTP) to avoid sending credentials in cleartext. 4) Verify the API hostname and provider (databus.gsdata.cn) are the legitimate Qingbo endpoint you expect. 5) If you must use this skill on sensitive networks, audit network egress rules or run it in an isolated environment. If the maintainer provides an updated version that uses HTTPS and documents secure credential handling, the security concerns would be largely resolved.
功能分析
Type: OpenClaw Skill Name: qingbo-search Version: 1.0.1 The skill bundle is benign. It implements an article search function by interacting with the Qingbo Open Platform API. The code reads API credentials from a local `config.json` file, constructs API requests using `node-fetch` to a hardcoded legitimate endpoint (`http://databus.gsdata.cn:8888/api/service`), and processes user input for search parameters using regex. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, prompt injection attempts in `SKILL.md` or `README.md`, or any other intentional harmful behavior. All actions are aligned with the stated purpose of searching articles.
能力评估
Purpose & Capability
Name/description (Qingbo article search) align with the code and SKILL.md. The skill reads app_key/app_secret from config.json, builds a signed request, and calls a Qingbo-like API endpoint to return article results — these are exactly what the skill claims to do.
Instruction Scope
SKILL.md and code stay within search functionality (parse natural language, build params, call API, format results). However, the runtime uses a local config.json file to store credentials and sends an access-token header to the API over http://databus.gsdata.cn:8888 (plain HTTP). Storing credentials in a file and transmitting tokens on unencrypted HTTP increase risk of credential exposure; SKILL.md does not warn about these risks or recommend secure storage/transport.
Install Mechanism
No install spec in registry (instruction-only install). Project uses a single dependency (node-fetch) declared in package.json and package-lock.json; installation via npm is standard and proportionate to the functionality. No downloads from untrusted URLs or extraction of archives are present.
Credentials
The skill requires API credentials (app_key and app_secret) which are appropriate for the API integration. But credentials are expected in plaintext config.json (file in the skill directory). This is a legitimate design choice but increases risk if the file is stored in source control or is on a shared filesystem. Additionally, the code places a base64 token containing app_key and signature in an HTTP header sent over plain HTTP (not HTTPS), which risks interception.
Persistence & Privilege
Skill does not request always:true, has no special OS restrictions, and does not modify other skills or global agent configuration. It only reads its own config.json. Autonomous invocation is allowed but is the platform default.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install qingbo-search
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /qingbo-search 触发
  4. 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
v1.0.1
- Added metadata file (_meta.json) to the project. - No changes to skill features or usage; documentation and functionality remain the same.
v1.0.0
Initial release of qingbo-search skill: - Provides keyword-based article search using Qingbo Open Platform API. - Supports filtering by time range, media type, and other conditions. - Returns article titles, URLs, release times, and statistics. - Requires developer registration and configuration of `app_key` and `app_secret`. - Implements parameter extraction from user queries using natural language processing. - Includes usage instructions and API parameter documentation.
元数据
Slug qingbo-search
版本 1.0.1
许可证
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Qingbo Search 是什么?

通过清博开放平台,根据关键词、时间和媒体类型检索并返回相关网络文章标题、链接及发布时间等信息。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 319 次。

如何安装 Qingbo Search?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install qingbo-search」即可一键安装,无需额外配置。

Qingbo Search 是免费的吗?

是的,Qingbo Search 完全免费(开源免费),可自由下载、安装和使用。

Qingbo Search 支持哪些平台?

Qingbo Search 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 Qingbo Search?

由 zhangqiang327(@zhangqiang327)开发并维护,当前版本 v1.0.1。

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