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Parallel Deep Research

作者 NormallyGaussian · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install parallel-deep-research
功能描述
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For qu...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install parallel-deep-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /parallel-deep-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug parallel-deep-research
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Parallel Deep Research 是什么?

Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For qu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 4893 次。

如何安装 Parallel Deep Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install parallel-deep-research」即可一键安装,无需额外配置。

Parallel Deep Research 是免费的吗?

是的,Parallel Deep Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Parallel Deep Research 支持哪些平台?

Parallel Deep Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Parallel Deep Research?

由 NormallyGaussian(@normallygaussian)开发并维护,当前版本 v1.0.3。

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