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Research Summarizer
作者
Alireza Rezvani
· GitHub ↗
· v2.1.1
· MIT-0
185
总下载
0
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install research-summarizer
功能描述
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, ge...
安全使用建议
This skill appears to do what it says: local Python scripts parse text and produce summaries/citations. Before installing, consider: only provide documents you are comfortable having processed by the agent (sensitive or confidential docs will be read by the skill); review or run the included scripts locally if you want to confirm behavior; and note that the citation heuristics are regex-based and may misclassify or miss entries (a quality, not a security, issue). There are no hidden network calls, credential requests, or install-time downloads in the package.
功能分析
Type: OpenClaw Skill
Name: research-summarizer
Version: 2.1.1
The research-summarizer skill is a well-structured tool designed for academic and professional document analysis. The included Python scripts (extract_citations.py and format_summary.py) perform safe text processing using regex and template rendering without any risky system calls, network access, or data exfiltration logic. The instructions in SKILL.md are strictly aligned with the stated purpose of summarizing, comparing, and citing research materials, presenting no evidence of malicious intent or prompt injection attacks.
能力评估
Purpose & Capability
Name/description, SKILL.md workflow, and the two included scripts (citation extraction and summary formatting) align: all files implement text parsing, templating, and citation formatting expected for a summarizer.
Instruction Scope
Runtime instructions are narrowly scoped to reading user-provided documents, extracting structure and citations, comparing sources, and producing briefs. The SKILL.md does not instruct the agent to read unrelated system files, environment variables, or to send data to unknown endpoints.
Install Mechanism
No install spec is provided (instruction-only). The included scripts are plain Python files that run locally; there are no downloads, package installs, or extraction from external URLs.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code likewise does not access env vars, secrets, or network resources — only local file/stdin I/O.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges, nor does it modify other skills or system settings. It runs on-demand and only processes input provided to it.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install research-summarizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/research-summarizer触发 - 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
v2.1.1
v2.1.1: optimization, reference splits
元数据
常见问题
Research Summarizer 是什么？
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, ge... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 185 次。
如何安装 Research Summarizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install research-summarizer」即可一键安装，无需额外配置。
Research Summarizer 是免费的吗？
是的，Research Summarizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Research Summarizer 支持哪些平台？
Research Summarizer 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 Summarizer？
由 Alireza Rezvani（@alirezarezvani）开发并维护，当前版本 v2.1.1。
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