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Agent Skill · 研究检索

qwencloud-text(qwen 云文字)

qwencloud-text 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

qwencloud-text 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,477。

总安装 3,757周安装 155GitHub Stars 公开资料未说明下载 1,228核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:qwencloud-text(qwen 云文字)
来源仓库:https://github.com/cuixiaoyang123/qwencloud-text
安装命令:
openclaw skills install qwencloud-text
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install qwencloud-text

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

qwencloud-text 调用 Qwen 模型完成文本生成、对话与代码编写等任务。适用于聊天交互、内容创作与技术文档编写场景。qwencloud-text 属于研究检索类 Skill,可作为该场景下的辅助能力补充。支持函数调用与多轮上下文记忆,增强对话连贯性。

使用前需设置有效 API 密钥,注意按量计费模式下的成本控制。建议限制单次响应长度以防止超时或内存溢出问题。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install qwencloud-text;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

qwencloud-text 怎么安装?

在终端执行 openclaw skills install qwencloud-text。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qwencloud-text 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

qwencloud-text 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

qwencloud-text 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

qwencloud-text 用的人多吗?

公开数据是累计安装 3,757 次,近一周安装 155 次,下载 1,228 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

qwencloud-text 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
qwencloud-text

qwen 云文字 · 本页

3,757—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
qwencloud-text
description
[QwenCloud] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, or explicitly invokes this skill by name (e.g. use qwencloud-text). DO NOT TRIGGER when: general coding questions without Qwen, non-Qwen AI model usage (OpenAI, Gemini, etc.), image/video understanding (use qwencloud-vision), image/video/audio generation.
compatibility
Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.
Agent setup: If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session.

Qwen Text Chat (OpenAI-Compatible)

Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API. This skill is part of qwencloud/qwencloud-ai.

Skill directory

Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.

LocationPurpose
scripts/text.pyDefault execution — chat/completions request, streaming, output save
references/execution-guide.mdFallback: curl, Python SDK, function calling, thinking mode
references/api-guide.mdAPI supplement and full code examples
references/prompt-guide.mdPrompt engineering: CO-STAR framework, CoT, few-shot, task steps
references/sources.mdOfficial documentation URLs (manual lookup only)
references/agent-compatibility.mdAgent self-check: register skills in project config for agents that don't auto-load

Security

NEVER output any API key or credential in plaintext. Always use variable references ($DASHSCOPE_API_KEY in shell, os.environ["DASHSCOPE_API_KEY"] in Python). Any check or detection of credentials must be non-plaintext: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of .env or config files that may contain secrets.

When the API key is not configured, NEVER ask the user to provide it directly. Instead, help create a .env file with a placeholder (DASHSCOPE_API_KEY=sk-your-key-here) and instruct the user to replace it with their actual key from the QwenCloud Console. Only write the actual key value if the user explicitly requests it.

Key Compatibility

Scripts require a standard QwenCloud API key (sk-...). Coding Plan keys (sk-sp-...) cannot be used for direct API calls — they are designed exclusively for interactive coding tools (Cursor, Claude Code, Qwen Code) and do not work on QwenCloud API endpoints. The script detects sk-sp- keys at startup and prints a warning. If qwencloud-ops-auth is installed, see its references/codingplan.md for details on key types, endpoint mapping, and error codes.

Model Selection

ModelUse Case
qwen3.6-plusRecommended default — latest flagship, balanced performance/cost/speed, 1M context, thinking on by default, multimodal (text+image+video)
qwen3.5-plusBalanced performance, cost, speed, 1M context, thinking on by default
qwen3.5-flashFast, low-cost, 1M context
qwen3-maxStrongest capability, built-in tools (web search, code interpreter)
qwen-plusGeneral purpose
qwen-turboCheapest, low latency
qwen3-coder-nextRecommended code model — best balance of quality, speed, cost; agentic coding
qwen3-coder-plusCode generation — highest quality for complex tasks
qwen3-coder-flashCode generation — fast responses, lower cost
qwq-plusReasoning / chain-of-thought
qwen-mt-plusMachine translation — best quality, 92 languages
qwen-mt-flashMachine translation — fast, low cost, 92 languages
qwen-mt-liteMachine translation — real-time chat, fastest, 31 languages
qwen-plus-character-jaRole-playing — recommended for Singapore
qwen-plus-characterRole-playing — character restoration, empathetic dialog
qwen-flash-characterRole-playing — fast, lower cost
  1. User specified a model → use directly.
  2. Consult the qwencloud-model-selector skill when model choice depends on requirement, scenario, or pricing.
  3. No signal, clear task → qwen3.6-plus (default).
Fallback: if model-selector is unavailable, the defaults in the table above apply.
⚠️ Important: The model list above is a point-in-time snapshot and may be outdated. Model availability changes frequently. Always check the official model list for the authoritative, up-to-date catalog before making model decisions.
Model details: For more information about a specific model, direct the user to its detail page: https://www.qwencloud.com/models/<model-name> (replace <model-name> with the exact model ID, e.g. qwen3.6-plus → https://www.qwencloud.com/models/qwen3.6-plus). NEVER modify or guess the model name in the URL.
Dynamic model queries: If the qwencloud-model-selector skill or QwenCloud CLI (qwencloud models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qwencloud-usage skill for login flow.

Execution

Prerequisites

  • API Key: Check that DASHSCOPE_API_KEY (or QWEN_API_KEY) is set using a non-plaintext check only (e.g. in shell:

[ -n "$DASHSCOPE_API_KEY" ]; report only "set" or "not set", never the key value). If not set: run the * *qwencloud-ops-auth** skill if available; otherwise guide the user to obtain a key from QwenCloud Console and set it via .env file (echo 'DASHSCOPE_API_KEY=sk-your-key-here' >> .env in project root or current directory) or environment variable. The script searches for .env in the current working directory and the project root. Skills may be installed independently — do not assume qwencloud-ops-auth is present.

  • Python 3.9+ (stdlib only, no pip install needed for script execution)

Environment Check

Before first execution, verify Python is available:

python3 --version  # must be 3.9+

If python3 is not found, try python --version or py -3 --version. If Python is unavailable or below 3.9, skip to * *Path 2 (curl)** in execution-guide.md.

Default: Run Script

Script path: Scripts are in the scripts/ subdirectory of this skill's directory (the directory containing this SKILL.md). You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute scripts. Do NOT assume scripts are in the current working directory. Do NOT use cd to switch directories before execution.

Execution note: Run all scripts in the foreground — wait for stdout; do not background.

Discovery: Run python3 <this-skill-dir>/scripts/text.py --help first to see all available arguments.

python3 <this-skill-dir>/scripts/text.py \
  --request '{"messages":[{"role":"user","content":"Hello!"}],"model":"qwen3.6-plus"}' \
  --output output/qwencloud-text/ --print-response

For streaming (recommended for interactive use):

python3 <this-skill-dir>/scripts/text.py \
  --request '{"messages":[{"role":"user","content":"Write a poem about the sea"}],"model":"qwen3.6-plus"}' \
  --stream --print-response
ArgumentDescription
--request '{...}'JSON request body
--file path.jsonLoad request from file (alternative to --request)
--streamEnable streaming output
--output dir/Save response JSON to directory
--print-responsePrint response to stdout
--model IDOverride model (also settable in request JSON)

Verify Result

  • Exit code 0 + output contains valid JSON with choices field → success
  • Non-zero exit, HTTP error, empty response, or JSON with "code"/"message" error → fail
  • If agent cannot read exit codes, scan output for error patterns (Error, Traceback, 401, 403)
  • Post-execution check: When --output is used, verify the response JSON file exists and contains choices
  • MANDATORY — stderr signal check: After confirming the result, scan the command's stderr output for

[ACTION_REQUIRED] or [UPDATE_AVAILABLE]. If either signal is present, you MUST follow the instructions in Update Check below before responding to the user.

On Failure

If the script fails, match the error output against the diagnostic table below to determine the resolution. If no match, read execution-guide.md for alternative paths: curl commands (Path 2), Python SDK code generation (Path 3), and autonomous resolution (Path 5).

If Python is not available at all → skip directly to Path 2 (curl) in execution-guide.md.

Error PatternDiagnosisResolution
command not found: python3Python not on PATHTry python or py -3; install Python 3.9+ if missing
Python 3.9+ requiredScript version check failedUpgrade Python to 3.9+
SyntaxError near type hintsPython < 3.9Upgrade Python to 3.9+
QWEN_API_KEY/DASHSCOPE_API_KEY not foundMissing API keyObtain key from QwenCloud Console; add to .env: echo 'DASHSCOPE_API_KEY=sk-...' >> .env; or run qwencloud-ops-auth if available
HTTP 401Invalid or mismatched keyRun qwencloud-ops-auth (non-plaintext check only); verify key is valid
SSL: CERTIFICATE_VERIFY_FAILEDSSL cert issue (proxy/corporate)macOS: run Install Certificates.command; else set SSL_CERT_FILE env var
URLError / ConnectionErrorNetwork unreachableCheck internet; set HTTPS_PROXY if behind proxy
HTTP 429Rate limitedWait and retry with backoff
HTTP 5xxServer errorRetry with backoff
PermissionErrorCan't write outputUse --output to specify writable directory

Quick Reference

Request Fields

FieldTypeDescription
prompt / messagesstring \arrayUser input or message list
modelstringModel ID (e.g. qwen3.6-plus)
systemstringSystem prompt (optional)
temperaturefloat0–2, controls randomness
max_tokensintMax output tokens
toolsarrayFunction definitions for tool calling
streamboolEnable streaming (recommended for interactive use)
enable_thinkingboolEnable thinking mode. Model defaults apply: qwen3.6-plus/qwen3.5-plus/qwen3.5-flash have thinking ON by default. Only set explicitly when user requests deep thinking or needs to disable for flash models. Adds latency for real-time tasks.

Response Fields

FieldDescription
textGenerated text content
modelModel used
usageToken usage (prompt_tokens, completion_tokens)
tool_callsFunction call requests (if tools used)

Advanced Features

These are API-level features supported through request parameters. All use the same chat/completions endpoint.

FeatureHow to EnableNotes
Structured outputresponse_format: {"type": "json_schema", "json_schema": {...}}Force JSON output conforming to schema
Web searchenable_search: trueReal-time web search augmented responses
Deep thinkingenable_thinking: trueExtended reasoning; only when user requests it
Function callingtools: [...]Define functions for tool use
Context cacheAutomatic for repeated prefixes; or explicit session-basedReduces cost for repeated context
Partial modepartial_mode: "prefix"Continue/complete a prefix
Batch inferenceAsync batch API with JSONL input50% cost discount

For detailed usage of each feature, see api-guide.md and sources.md.

Error Handling

ErrorCauseAction
401 UnauthorizedInvalid or missing API keyRun qwencloud-ops-auth if available; else prompt user to set key (non-plaintext check only)
429 Too Many RequestsRate limit exceededRetry with backoff
500 / 502 / 503Server errorRetry; check status page
Invalid modelModel ID not foundVerify model name against Model Selection table
Invalid parameterBad request bodyValidate JSON and field types
TypeError: ...proxiesopenai SDK vs httpx incompatibilitypip install --upgrade openai (>=1.55.0); or use script (pure stdlib)
Usage & billing: Use the qwencloud-usage skill to check usage, free tier quota, and billing directly. Alternatively, the user can visit the QwenCloud console: Usage Analytics | Pay-as-you-go Billing | Coding Plan Billing NEVER fabricate, guess, or construct usage/billing/console URLs. Only provide the exact links listed in this skill. If a URL is not listed here, do not invent one.

Output Location

Prefer the current working directory for all outputs. Default subdirectory when --output is used: ./output/qwencloud-text/.

Write prohibition: NEVER write output files into this skill's installation directory or any skills/ hierarchy. All generated content must go to output/ under the current working directory or a user-specified path.

Update Check (MANDATORY Post-Execution)

After script execution, check stderr for action signals. The script automatically detects update status and emits structured signals. You MUST act on them. This section also applies when the user explicitly asks to check for updates.

Signal: [ACTION_REQUIRED] qwencloud-update-check skill is not installed

When stderr contains this signal, you MUST present the following options to the user and wait for their response before proceeding. Do NOT silently skip this.

The update-check skill is not installed. It keeps you informed about new qwencloud/qwencloud-ai features and bug fixes. 1) Install now — I'll run the install command for you 2) Skip for now — do nothing this time 3) Never remind me — permanently suppress this prompt

After the user responds:

  • User chooses 1 → run:

npx skills add QwenCloud/qwencloud-ai --skill qwencloud-update-check -y, then run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss

  • User chooses 2 → run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss, then continue normally
  • User chooses 3 → run: python3 <this-skill-scripts-dir>/gossamer.py --never-install, then continue normally

Signal: [UPDATE_AVAILABLE]

When stderr contains this signal, you MUST append a brief update notice to your response, including the version info and the update command shown in the stderr output.

No signal in stderr

If stderr contains neither [ACTION_REQUIRED] nor [UPDATE_AVAILABLE], no action is needed — the skill is installed and up to date (or cached within 24h).

Explicit user request

When the user explicitly asks to check for updates (e.g. "check for updates", "check version"):

  1. Look for qwencloud-update-check/SKILL.md in sibling skill directories.
  2. If found — run: python3 <qwencloud-update-check-dir>/scripts/check_update.py --print-response and report the result.
  3. If not found — present the install options above.

References

thinking mode

平台分布

OpenClaw

96.96%
按下载量换算1,191

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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