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normallygaussian

Parallel Deep Research

by NormallyGaussian · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
4893
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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
ℹ 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.
ℹ 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.
ℹ 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.
ℹ 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 0
Active Installs 0
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 4893 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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