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Research
by
BrennerSpear
· GitHub ↗
· v1.1.0
6080
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0
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2
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Install in OpenClaw
/install parallel-ai-research
Description
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
Usage Guidance
Install only if you are comfortable with research prompts and outputs being saved under ~/.openclaw/workspace/research and, for deep research, sent to Parallel AI. Before enabling the setup, verify the referenced helper scripts from a trusted source, avoid curl-to-shell installation where possible, prefer user-local symlinks over sudo, and use a scoped or revocable API key rather than broadly loading secrets from your shell profile.
Capability Analysis
Type: OpenClaw Skill
Name: parallel-ai-research
Version: 1.1.0
The skill is classified as suspicious due to a significant shell injection vulnerability. Instructions in `SKILL.md` and `OPENCLAW.md` direct the OpenClaw agent to execute external CLI tools like `parallel-research` and `export-pdf` with arguments derived from user input (e.g., 'research question', 'topic-slug', 'run_id'). Without robust input sanitization by the agent or platform, these commands are susceptible to arbitrary command execution. Additionally, `SETUP.md` instructs users to install a dependency via `curl | sh`, which carries a supply chain risk, though this is a setup instruction for the user, not a runtime action by the agent.
Capability Assessment
Purpose & Capability
The stated purpose of building persistent research documents matches the file-writing workflow, PDF export, and optional Parallel AI deep-research integration.
Instruction Scope
The activation language is broad for a workflow that creates persistent research folders, and the OpenClaw integration can schedule future agent turns to poll and deliver results without a clearly stated confirmation gate.
Install Mechanism
SETUP.md instructs users to create global or user-local symlinks, run a remote uv installer via curl piped to sh, and symlink helper CLIs that are referenced but not present in the reviewed artifact set.
Credentials
Using a Parallel AI API key and sending research prompts to that provider is purpose-aligned for deep research, but users should treat prompts and reports as potentially sensitive external data.
Persistence & Privilege
The skill intentionally stores prompts, notes, reports, PDFs, and shell-loaded API-key configuration on disk, and it recommends adding dynamic secret-loading logic to the user shell profile.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install parallel-ai-research - After installation, invoke the skill by name or use
/parallel-ai-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Updated from agent-skills repo
v1.0.0
Initial release of the research skill for open-ended, structured investigations.
- Supports interactive (real-time) and deep (async, Parallel AI-powered) research modes.
- Automatically creates organized research folders with prompt, findings, and exportable PDF.
- Guides workflow: questioning, note-taking, synthesis checkpoints, and completion/archival.
- Includes robust command triggers (new, deep, export PDF, show, graduate, archive).
- Emphasizes documentation best practices: source linking, context, and uncertainty notes.
Metadata
Frequently Asked Questions
What is Research?
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes. It is an AI Agent Skill for Claude Code / OpenClaw, with 6080 downloads so far.
How do I install Research?
Run "/install parallel-ai-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Research free?
Yes, Research is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Research support?
Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Research?
It is built and maintained by BrennerSpear (@brennerspear); the current version is v1.1.0.
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