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Verified Research Engine (Web + Academic + Confidence Score)
by
chaimengphp
· GitHub ↗
· v1.0.1
· MIT-0
839
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install openclaw-aisa-search
Description
Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models.
Usage Guidance
This skill is a straightforward client for the AIsa search API. Before installing, confirm you trust the AIsa service (api.aisa.one), and only provide an API key with appropriate scope/limits. Be aware the agent will make outbound HTTPS requests using your AISA_API_KEY (which could incur usage/costs and transmit query text). If you need stricter control, create a scoped API key or monitor API usage and logs. You can also review the included scripts (search_client.py) yourself — they are small and only call the documented endpoints. If you want to be extra cautious, run the client in a restricted environment or with a key limited to read-only/search-only permissions.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-aisa-search
Version: 1.0.1
The skill provides a legitimate search interface for OpenClaw agents, integrating with the AIsa API (api.aisa.one) to provide web, academic, and AI-powered search results (Perplexity Sonar). The Python client in `scripts/search_client.py` is well-structured, using standard libraries for network requests and parallel execution without any signs of malicious behavior, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description promise multi-source search (web, scholar, Tavily, Perplexity Sonar). The skill only requires curl, python3, and a single AISA_API_KEY — all of which are necessary and proportional for calling the external AIsa APIs described.
Instruction Scope
SKILL.md instructs the agent to call documented AIsa endpoints and to set AISA_API_KEY. The included Python client only issues HTTPS requests to api.aisa.one and does not read unrelated system files, other environment variables, or send data to unexpected endpoints.
Install Mechanism
There is no install spec (instruction-only) and the packaged code is a client script. No downloads or extract steps are performed, which minimizes on-disk installation risk.
Credentials
Only one credential (AISA_API_KEY) is required and it directly maps to the described external API usage. No additional secrets, config paths, or unrelated credentials are requested.
Persistence & Privilege
The skill is not always-enabled (always:false) and does not request elevated persistent system presence. Autonomous invocation is allowed (platform default) but is not combined with other concerning privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-aisa-search - After installation, invoke the skill by name or use
/openclaw-aisa-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
**Adds Perplexity Sonar answer-generation endpoints and removes deprecated full text/smart search.**
- Integrated new Perplexity Sonar family endpoints (sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research) for answer generation with citations.
- Removed deprecated `/search/full` and `/search/smart` endpoints from docs and workflow.
- Updated documentation and examples to focus on Perplexity Sonar APIs for advanced, citation-rich searches and deep research reports.
- Adjusted quick start and Python client instructions to cover new endpoints and usage.
- Slight metadata update: new emoji and clarified description.
- All other structured search (web, scholar, Tavily) endpoints remain supported.
v1.0.0
Initial release of OpenClaw Search – unified multi-source search with confidence scoring.
- Intelligent search across web, academic, and Tavily sources in one API.
- Two-phase retrieval: parallel multi-stream discovery and meta-analysis with confidence scoring.
- Rich API and Python client for web, scholar, smart, and Tavily operations.
- Confidence rubric evaluates credibility, consensus, and source quality.
- Extensive examples and documentation for research, market intelligence, and more.
Metadata
Frequently Asked Questions
What is Verified Research Engine (Web + Academic + Confidence Score)?
Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models. It is an AI Agent Skill for Claude Code / OpenClaw, with 839 downloads so far.
How do I install Verified Research Engine (Web + Academic + Confidence Score)?
Run "/install openclaw-aisa-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Verified Research Engine (Web + Academic + Confidence Score) free?
Yes, Verified Research Engine (Web + Academic + Confidence Score) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Verified Research Engine (Web + Academic + Confidence Score) support?
Verified Research Engine (Web + Academic + Confidence Score) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Verified Research Engine (Web + Academic + Confidence Score)?
It is built and maintained by chaimengphp (@chaimengphp); the current version is v1.0.1.
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