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qwencloud-text
作者
Cuixiaoyang123
· GitHub ↗
· v0.1.1
· MIT-0
127
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install qwencloud-text
功能描述
[QwenCloud] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate t...
安全使用建议
This is code for a Qwen/OpenAI-compatible chat client and is plausibly legitimate — but there are important mismatches and behaviors to review before installing: (1) the metadata does not list required env vars but the code needs DASHSCOPE_API_KEY (and may use QWEN_BASE_URL/QWEN_REGION). Do not provide your API key until you confirm how it will be stored/used. (2) The scripts automatically load .env files from the current directory and repository root into the process environment; inspect those .env files first (or run the skill in a sandbox) to avoid exposing unrelated secrets. (3) The skill may execute local scripts (update-check logic uses subprocess.run on repo files); only run it in repositories you trust. (4) Ask the publisher to update the registry metadata to explicitly list required env variables and to document any automatic repo-file modification behaviors. If you lack confidence, run the scripts manually in a controlled environment and audit the code (look at require_api_key, load_dotenv, run_update_signal) before granting it access to your real API keys or allowing automatic file changes.
功能分析
Type: OpenClaw Skill
Name: qwencloud-text
Version: 0.1.1
The qwencloud-text skill bundle is a well-structured tool for interacting with Qwen AI models via OpenAI-compatible APIs. It includes robust features such as streaming, function calling, and file uploads to Alibaba Cloud OSS (via qwencloud_lib.py). The bundle contains a self-update mechanism (gossamer.py) that detects missing dependencies and instructs the agent to prompt the user for installation of a companion update-check skill. While it includes telemetry (sending skill and agent names in headers) and proactive update prompts, these behaviors are transparently documented in SKILL.md and require user interaction, aligning with the stated purpose of providing a managed AI service integration.
能力标签
能力评估
Purpose & Capability
The skill's name/description match the included code and docs (a Qwen/OpenAI-compatible chat client). However the registry metadata declares no required environment variables or primary credential while the SKILL.md and bundled code clearly expect and use DASHSCOPE_API_KEY (and aliases QWEN_API_KEY) plus optional QWEN_BASE_URL/QWEN_REGION. Omitting required env declarations is an coherence problem: a Qwen client legitimately needs an API key, so the metadata should list it.
Instruction Scope
SKILL.md and the scripts instruct the agent to load .env files, locate repository roots, examine and (with user confirmation) append to agent config files, and rely on local fallback code. The code also calls a run_update_signal helper which attempts to execute other repo scripts (via subprocess). Reading .env and repo files and running local scripts is beyond a simple 'generate text' scope and increases the surface for accidental exposure of secrets or execution of untrusted local code.
Install Mechanism
No install spec is provided (instruction-only with bundled scripts). That is low-risk from an install download perspective — nothing is fetched from external URLs at install time.
Credentials
The skill requests no env vars in its metadata but the implementation uses/relies on DASHSCOPE_API_KEY (primary API key), QWEN_API_KEY alias, and optional QWEN_BASE_URL/QWEN_REGION. The scripts load .env files into os.environ (repo and current dir) which may expose any secrets stored there to the agent process. Requiring an API key is expected, but failing to declare it in metadata and auto-loading .env is disproportionate without explicit user consent and clear listing of required credentials.
Persistence & Privilege
always:false and normal model invocation make the skill user-invocable and not force-installed. The skill offers guidance to append entries to agent project config files (CLAUDE.md/AGENTS.md) but states 'ask the user before modifying any file.' The run_update_signal behavior can execute local repository scripts to check for updates, which gives the skill the ability to run local code when the script is executed — acceptable for a CLI tool but worth user awareness.
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 qwencloud-text - 安装完成后,直接呼叫该 Skill 的名称或使用
/qwencloud-text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
v0.1.1
- Updated model list: added `qwen3.6-plus` as the new recommended default model.
- Detailed `qwen3.6-plus`: latest flagship model with multimodal (text+image+video) support, thinking mode by default, and 1M context.
- Marked `qwen3.5-plus` as previous default; clarified model features and defaults in the table.
- Added direct model detail URL guidance for every model listed.
- No code or script changes; documentation and selection logic only.
v0.1.0
- Initial release of qwencloud-text skill.
- Enables text generation, conversation, code writing, and tool invocation using Qwen models via an OpenAI-compatible API.
- Provides detailed guidance on security, key setup, and model selection, including compatibility checks for Coding Plan keys.
- Includes instructions for execution with Python 3.9+ (no extra dependencies) and environment setup.
- Lists supported Qwen models for text, code, translation, and role-playing tasks.
- Emphasizes never outputting API keys, with clear steps for obtaining and configuring credentials.
元数据
常见问题
qwencloud-text 是什么?
[QwenCloud] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 127 次。
如何安装 qwencloud-text?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qwencloud-text」即可一键安装,无需额外配置。
qwencloud-text 是免费的吗?
是的,qwencloud-text 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
qwencloud-text 支持哪些平台?
qwencloud-text 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 qwencloud-text?
由 Cuixiaoyang123(@cuixiaoyang123)开发并维护,当前版本 v0.1.1。
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