← 返回 Skills 市场
ccf22222

qinglite

作者 ccf22222 · GitHub ↗ · v1.0.2
cross-platform ✓ 安全检测通过
316
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install qinglite
功能描述
模拟登录轻识 (qinglite.cn) 并获取 token,或使用 token 发布作品。
安全使用建议
This skill will send the mobile number and verification code you provide to qinglite.cn and will POST content (including any media parameter you pass) to qinglite.cn. It does not request system credentials or read local files, but note: the code prints tokens to stdout (which could be captured in logs) and, despite SKILL.md wording, the implementation does not actually upload local files — it sends the media field as a string. Only install/use if you trust qinglite.cn and are comfortable giving it the phone/code or token. Avoid pasting tokens into other contexts and review whether you need real file uploads (the skill won't read local files to perform uploads). If you want higher assurance, request the maintainer to fix the prefix inconsistency and clarify media-handling behavior.
功能分析
Type: OpenClaw Skill Name: qinglite Version: 1.0.2 The skill bundle is designed to interact with the `qinglite.cn` platform for user login and content publishing, as described in `SKILL.md`. The Python scripts (`login.py` and `qinglite_platform.py`) make HTTP POST requests to the specified `qinglite.cn` API endpoints. There is no evidence of data exfiltration to unauthorized third parties, arbitrary code execution, persistence mechanisms, or prompt injection attempts against the OpenClaw agent. The `media` parameter, while described as a 'file path', is passed as a string within the JSON payload, not used to access local files, aligning with the stated purpose.
能力评估
Purpose & Capability
The name/description (simulate login and publish on qinglite.cn) matches the provided code and SKILL.md. The Python files perform POSTs only to qinglite.cn endpoints described in the SKILL.md. No unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md describes exactly two actions (login, publish) and the code implements them. Minor discrepancies: SKILL.md says prefix is "+86" but login.py uses "86"; SKILL.md implies media are file paths but qinglite_platform.py sends the media parameter as a string (it does not read or upload local files). These are functional inconsistencies but not evidence of malicious behavior.
Install Mechanism
No install spec — instruction-only plus small Python source files. Nothing is downloaded or written during install.
Credentials
The skill requires no environment variables, credentials, or config paths. It only accepts user-supplied parameters (mobile, code, token, content, etc.), which is proportionate to its purpose.
Persistence & Privilege
The skill is not always-enabled and requests no elevated/system privileges or persistent changes. It does not modify other skills or system-wide settings.
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 qinglite
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /qinglite 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
v1.0.2
- Combined login and publish functionality into a single skill. - Added new parameter: action (choose "login" or "publish"). - Expanded publish parameters for title, content, type, and media. - Updated documentation to clearly describe both login and publish workflows. - Renamed skill to qinglite-platform and updated version to 1.1.0.
v1.0.1
Added support for publishing works to Qinglite in addition to login. - Expanded the skill to include a new operation for publishing works on Qinglite. - Updated the login request body to use "prefix": "+86" and added fields "app_type" and "post_type". - Documented new interface details for the publish operation.
v1.0.0
qinglite-login 1.0.0 released - Introduced a skill to simulate login on the qinglite.cn platform using mobile number and verification code. - Returns a login token upon successful authentication. - Supports POST requests to the official login API endpoint with required credentials.
元数据
Slug qinglite
版本 1.0.2
许可证
累计安装 0
当前安装数 0
历史版本数 3
常见问题

qinglite 是什么?

模拟登录轻识 (qinglite.cn) 并获取 token,或使用 token 发布作品。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 316 次。

如何安装 qinglite?

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

qinglite 是免费的吗?

是的,qinglite 完全免费(开源免费),可自由下载、安装和使用。

qinglite 支持哪些平台?

qinglite 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 qinglite?

由 ccf22222(@ccf22222)开发并维护,当前版本 v1.0.2。

💬 留言讨论