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Research Summarizer
by
Alireza Rezvani
· GitHub ↗
· v2.1.1
· MIT-0
185
Downloads
0
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install research-summarizer
Description
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, ge...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install research-summarizer - After installation, invoke the skill by name or use
/research-summarizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.1
v2.1.1: optimization, reference splits
Metadata
Frequently Asked Questions
What is Research Summarizer?
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, ge... It is an AI Agent Skill for Claude Code / OpenClaw, with 185 downloads so far.
How do I install Research Summarizer?
Run "/install research-summarizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Research Summarizer free?
Yes, Research Summarizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Research Summarizer support?
Research Summarizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Research Summarizer?
It is built and maintained by Alireza Rezvani (@alirezarezvani); the current version is v2.1.1.
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