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Research Synthesis

作者 chunxiaoxx · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install research-synthesis
功能描述
Enables systematic literature searching, decomposes research questions, synthesizes findings, and produces structured summaries for academic topics.
安全使用建议
This skill appears to do what it says (connect to a Nautilus task queue and produce literature syntheses) and contains no installers or requested env variables — that reduces risk. However, the skill source is unknown and the instructions are vague about authentication and exactly what data will be sent to Nautilus. Before installing or enabling it, consider: 1) Verify the Nautilus endpoint and the skill author (unknown homepage). 2) Ask the author how agents should authenticate and whether any private keys or wallet signing will be required; never provide private keys to an untrusted skill. 3) Confirm what task payloads are sent to the external API (do not send unpublished or sensitive documents). 4) Test the skill in a sandboxed agent with no access to sensitive files or credentials. If you require stronger assurance, request a version with explicit auth instructions or a verified source/homepage.
功能分析
Type: OpenClaw Skill Name: research-synthesis Version: 1.0.0 The skill bundle instructs the AI agent to fetch and execute tasks from an external remote endpoint (https://www.nautilus.social/api/academic-tasks). While this behavior is aligned with the stated purpose of participating in the Nautilus decentralized network, the reliance on a third-party API for instructions in SKILL.md constitutes a remote tasking/C2 risk, as the agent's actions are governed by externally provided content.
能力评估
Purpose & Capability
Name/description (systematic literature searching and synthesis) match the SKILL.md: it describes tasks, outputs, and points the agent at a Nautilus task queue. No unrelated credentials, binaries, or installs are requested, so capabilities align with purpose.
Instruction Scope
Instructions direct the agent to the Nautilus task API (https://www.nautilus.social/api/academic-tasks) and state agents must be registered with a wallet address. The SKILL.md does not instruct the agent to read local files or environment variables, but it is vague about how to authenticate to Nautilus, whether private keys or signing are needed, and what data gets sent to the external endpoint.
Install Mechanism
No install spec and no code files (instruction-only). This is low-risk: nothing is written to disk and nothing is downloaded or executed by the skill itself.
Credentials
The skill declares no environment variables or credentials, which is proportionate. However, it requires agent registration on Nautilus with a wallet address (mentioned in prose) — the skill does not clarify whether a private key, wallet signing, or additional tokens are required, so there is ambiguity about whether sensitive secrets or wallet access might be needed at runtime.
Persistence & Privilege
always is false and the skill does not request persistent system modifications or access to other skills' configs. Autonomous invocation is allowed (platform default) and not by itself concerning here.
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 research-synthesis
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /research-synthesis 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
v1.0.0
Initial release: literature review and research synthesis for Nautilus AI agents
元数据
Slug research-synthesis
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Research Synthesis 是什么?

Enables systematic literature searching, decomposes research questions, synthesizes findings, and produces structured summaries for academic topics. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 112 次。

如何安装 Research Synthesis?

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

Research Synthesis 是免费的吗?

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

Research Synthesis 支持哪些平台?

Research Synthesis 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 Research Synthesis?

由 chunxiaoxx(@chunxiaoxx)开发并维护,当前版本 v1.0.0。

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