Dataify Duckduckgo Search
/install dataify-duckduckgo-search
Dataify DuckDuckGo Search
Workflow
Use python3 to run the bundled script for the entire flow. Do not build the HTTP request manually unless the script needs maintenance.
Always preview parameters before every API call:
python3 scripts/duckduckgo_search.py --request "\x3Cuser request>" --preview
On Windows workspaces where the python3 alias is unavailable, use the installed Python 3 launcher for the same script, for example python scripts/duckduckgo_search.py ....
Show the preview table to the user. The table must include the complete field list except Authorization, and only these columns: parameter name, current value, default value, and description. Ask whether the user wants to modify any parameter. Do not call the API until the user confirms.
After the user confirms, call the API with the same request and explicit overrides, adding --confirmed. If the user provides a token in the conversation, pass it explicitly:
python3 scripts/duckduckgo_search.py --request "\x3Cuser request>" --token "\x3CDATAIFY_API_TOKEN>" --confirmed
The script reads DATAIFY_API_TOKEN from the environment when --token is not provided. If no token is available, stop and ask the user to provide a Dataify API token or register at Dataify Dashboard.
Field Mapping
Pass the user's full request to --request; the script automatically maps natural-language hints and explicit assignments to Dataify fields:
| Field | Behavior |
|---|---|
engine |
Always duckduckgo. |
q |
Search query parsed from the user request or --q. Required. |
json |
Output format: 1 JSON, 2 JSON+HTML, 3 HTML, 4 Light JSON. Defaults to 1. |
kl |
DuckDuckGo region code such as us-en, uk-en, or fr-fr; no default. |
search_assist |
true or false; defaults to false; cannot be sent with m. If enabled, the script omits m. |
safe |
1 strict, -1 moderate (default), -2 off. |
df |
d, w, m, y, or a date range like 2021-06-15..2024-06-16. |
start |
Result offset; defaults to 0 or empty according to the API description. |
m |
Maximum result count, defaults to 50, clamped to 1..50; omitted when search_assist=true. |
no_cache |
true skips cache; false uses cache by default. |
Use default values from parameter descriptions when the user does not specify a field: engine=duckduckgo, json=1, search_assist=false, safe=-1, start=0, m=50, and no_cache=false. q, kl, and df have no default. Do not treat API documentation examples as defaults: never use q=pizza, kl=us-en, search_assist=true, safe=1, df=d, start=0 because it appeared in an example, m=10, or no_cache=true unless the user request or the documented default says so.
For exact control, pass explicit flags such as --q, --json, --kl, --safe, --df, --start, --m, --no-cache, and --search-assist; explicit flags override the natural-language parser.
Response Handling
The script submits the request as application/x-www-form-urlencoded form data, not JSON.
Return the script stdout directly to the user. Do not summarize, translate, pretty-print, filter, or otherwise process the API response.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install dataify-duckduckgo-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/dataify-duckduckgo-search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
Dataify Duckduckgo Search 是什么?
Use when the user asks to search DuckDuckGo, fetch DuckDuckGo results. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 38 次。
如何安装 Dataify Duckduckgo Search?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install dataify-duckduckgo-search」即可一键安装,无需额外配置。
Dataify Duckduckgo Search 是免费的吗?
是的,Dataify Duckduckgo Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Dataify Duckduckgo Search 支持哪些平台?
Dataify Duckduckgo 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 Dataify Duckduckgo Search?
由 dataify-server(@dataify-server)开发并维护,当前版本 v1.0.0。