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normallygaussian

Parallel Deep Research

by NormallyGaussian · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
4870
Downloads
3
Stars
35
Active Installs
4
Versions
Install in OpenClaw
/install parallel-deep-research
Description
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For qu...
Usage Guidance
This skill appears safe for its stated purpose if you intend to use Parallel for deep research. Before installing or invoking it, make sure `parallel-cli` comes from the official Parallel documentation, confirm it is authenticated to the right account, avoid sending confidential research questions unless appropriate, and be mindful that saved reports and optional sub-agent handoffs may persist research content locally.
Capability Analysis
Type: OpenClaw Skill Name: parallel-deep-research Version: 1.0.3 The skill bundle provides instructions for an AI agent to interface with the 'parallel-cli' tool for conducting deep research via the parallel.ai service. The documentation in SKILL.md outlines standard command-line usage, output handling, and integration with OpenClaw's session management without any indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The skill is clearly framed for deep research through Parallel API and is not hidden or unrelated, but research queries and results are handled by an external service.
Instruction Scope
The instructions limit use to explicit deep-research requests and direct quick lookups, news, and URL extraction to other tools; no goal-override or forced invocation behavior is evident.
Install Mechanism
There is no installer or code, but SKILL.md requires a preinstalled, authenticated parallel-cli while registry requirements declare no binaries or credentials.
Credentials
The documented commands can read a query file and write JSON/Markdown reports to local paths; this is purpose-aligned but users should choose paths and content deliberately.
Persistence & Privilege
No hidden persistence is shown, but the skill documents non-blocking provider tasks and an optional sessions_spawn workflow that can persist results in /tmp and process them in another session.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install parallel-deep-research
  3. After installation, invoke the skill by name or use /parallel-deep-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Version 1.0.3 - Updated prerequisites: Now explicitly requires installation and authentication of `parallel-cli`. If missing or authentication fails, instructions direct users to official documentation. - Added clearer troubleshooting guidance for CLI setup failures. - No changes to API usage or research functionality.
v1.0.2
- No user-facing changes in this version. - Documentation, configuration, and code remain unchanged.
v1.0.1
- No user-visible changes in this release. - Documentation, source code, and configuration files remain unchanged from the previous version.
v1.0.0
Initial release
Metadata
Slug parallel-deep-research
Version 1.0.3
License MIT-0
All-time Installs 184
Active Installs 35
Total Versions 4
Frequently Asked Questions

What is Parallel Deep Research?

Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For qu... It is an AI Agent Skill for Claude Code / OpenClaw, with 4870 downloads so far.

How do I install Parallel Deep Research?

Run "/install parallel-deep-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Parallel Deep Research free?

Yes, Parallel Deep Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Parallel Deep Research support?

Parallel Deep Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Parallel Deep Research?

It is built and maintained by NormallyGaussian (@normallygaussian); the current version is v1.0.3.

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