According to AlphaMoat, as of 2026-09, baidu baike search has 4,218 downloads and 1 stars — ranked #2,364 of 5,078 AI skills overall, and #220 of 442 in Knowledge.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 134 | 4.1K | 1 | 1 |
| SkillHub ↗ | 131 | 4.2K | 1 | — |
Platforms count differently and update at different times.
The skill can look up entries by title or identifier for people, places, concepts, and events, and returns structured results; lookup terms are sent to Baidu.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.2K | — | 1 |
| 2026-08 | 4.0K | +5.0% | 1 |
| 2026-07 | 3.8K | +9.2% | 1 |
| 2026-06 | 3.5K | +5.6% | 1 |
| 2026-05 | 3.3K | — | 1 |
| 2026-03 | 2.8K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: baidu-baike
description: The Baidu Baike Component is a knowledge service tool designed to query authoritative encyclopedia explanations for various nouns. Its core function is given a specific "noun" (object, person, location, concept, event, etc.) provided by the user, it returns a standardized, detailed entry explanation sourced from Baidu Baike.
homepage: https://baike.baidu.com/
metadata: { "openclaw": { "emoji": "📖", "requires": { "bins": ["curl"] } } }
---
# Baidu Baike
This skill allows OpenClaw agents to search detailed entry explanations via Baidu Baike .## Setup 1. **API Key:** Ensure the BAIDU_API_KEY environment variable is set with your valid API key. 2. **Environment:** The API key should be available in the runtime environment. ## API table | name | path | description | |------------|---------------------------------|---------------------------------------| | LemmaList |/v2/baike/lemma/get_list_by_title|Query the list of entries that are the same as this term, and the is_default field in the return represents the subject term| |LemmaContent| /v2/baike/lemma/get_content |Query the entry explanation or detailed content of an entry based on the entry id or entry name, best to do so based on the entry ID| ## Workflow 1. The skill only supports searching for detailed knowledge explanations of objectively existing things such as (things, people, place names, concepts, events), etc. Therefore, please extract such nouns before calling 2. The script makes a GET request to the Baidu Baike Search API 3. The API returns structured search results with lemma_id, desc, url, lemma summary, videos, relations and knowledge, if the "noun" is a well-known person or thing, the associated person or thing of this noun will be returned 4. If the content queried based on the default term name is inaccurate, you can first query the term list by the LemmaList API, and then select the term ID that meets the requirements from the list to query the term content by LemmaContent API ## APIS ### LemmaList API #### Parameters - `lemma_title`: The search entry name - `top_k`: Number of results to return (default: 5) #### Example Usage ```bash curl -XGET 'https://appbuilder.baidu.com/v2/baike/lemma/get_content?lemma_title=刘德华' \ -H 'Authorization: Bearer BAIDU_API_KEY' ``` ### LemmaContent API #### Parameters - `search_type`: The type of search, optional values include: "lemmaTitle", "lemmaId" - `search_key`: The search key, either the entry name or entry ID #### Example Usage ```bash curl -XGET 'https://appbuilder.baidu.com/v2/baike/lemma/get_content?search_type=lemmaTitle&search_key=刘德华' \ -H 'Authorization: Bearer BAIDU_API_KEY' ```
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.