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Install in OpenClaw
/install tavily-extract-aisa
Description
Extract clean article content from URLs through the AISA Tavily extract endpoint. Use when: the user already has URLs and needs readable page content for sum...
Usage Guidance
This skill will send provided URLs (and any extracted text) to the AISA API (api.aisa.one) using your AISA_API_KEY. Only install if you trust AISA and are comfortable sending the URL/content to that service. Do not pass private URLs or sensitive documents unless the API key and service policy are acceptable for that data. Confirm any billing or rate limits on your AISA account and consider revoking the key if you later stop using the skill.
Capability Analysis
Type: OpenClaw Skill
Name: tavily-extract-aisa
Version: 1.0.0
The skill is a standard API wrapper for the AIsa Multi Search Engine, providing functionality for web search and article content extraction via the `api.aisa.one` endpoint. The Python client `scripts/search_client.py` uses standard libraries (`urllib`, `argparse`) to handle requests and contains no evidence of malicious behavior, such as data exfiltration, unauthorized file access, or persistence mechanisms. The `SKILL.md` file provides clear instructions and explicitly warns against using the tool for sensitive local data access, such as cookies or passwords.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description (Tavily extract) match the included Python client which calls the AISA Tavily extract endpoint (/tavily/extract). Requiring python3 and AISA_API_KEY is consistent with the stated purpose.
Instruction Scope
SKILL.md instructs running the bundled Python CLI (scripts/search_client.py). The script only calls AISA API endpoints and prints results; it does not read local secrets, config files, or arbitrary system paths. Note: the script also supports other AISA search endpoints (web, scholar, sonar, explain), which is expected for a multi-search client but not out-of-scope.
Install Mechanism
No install spec (instruction-only) and the runtime uses the bundled Python script; nothing is downloaded or executed from untrusted URLs.
Credentials
Only AISA_API_KEY is required and it is used directly to authenticate calls to api.aisa.one. No unrelated secrets or multiple credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It does allow normal autonomous invocation (disable-model-invocation: false), which is the platform default.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tavily-extract-aisa - After installation, invoke the skill by name or use
/tavily-extract-aisa - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Tavily Extract skill (v1.0.0).
- Extracts clean article content from user-provided URLs via the AISA Tavily extract endpoint.
- Designed for summarization, evidence review, or comparison of web content.
- Requires an AISA_API_KEY and Python 3 environment.
- Not intended for extracting credentials or accessing local sensitive information.
- Includes quick setup instructions and usage examples.
Metadata
Frequently Asked Questions
What is tavily-extract-aisa?
Extract clean article content from URLs through the AISA Tavily extract endpoint. Use when: the user already has URLs and needs readable page content for sum... It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.
How do I install tavily-extract-aisa?
Run "/install tavily-extract-aisa" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is tavily-extract-aisa free?
Yes, tavily-extract-aisa is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does tavily-extract-aisa support?
tavily-extract-aisa is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created tavily-extract-aisa?
It is built and maintained by AIsa (@aisadocs); the current version is v1.0.0.
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