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research-logger
by
terrycarter1985
· GitHub ↗
· v1.0.0
· MIT-0
26
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0
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Active Installs
1
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Install in OpenClaw
/install research-logger-skill
Description
Research a topic via web search, auto-match a relevant GIF, and log structured notes to Bear using a configurable template.
README (SKILL.md)
Research Logger
Automate the research-to-notes pipeline: search the web, fill in a structured template, find a relevant GIF, and save it all as a Bear note.
Usage
bash research_logger.sh "quantum computing" "tech,science"
What It Does
- Web Search — Uses
web_searchto find top results for the topic - Content Fetch — Pulls key content from the top result
- GIF Match — Searches for a relevant GIF via gifgrep
- Template Fill — Fills
notes/research_template.mdwith gathered data - Bear Note — Creates a Bear note with the filled template via
grizzly
Requirements
grizzlyCLI (Bear notes)- OpenClaw agent with
web_search,web_fetch, andgifgrepaccess
Usage Guidance
Before installing, make sure you trust the grizzly CLI and have the expected Bear-note template in place. Avoid entering sensitive research topics unless you are comfortable with them being sent to web search/GIF services, and review generated Bear notes before relying on them.
Capability Analysis
Type: OpenClaw Skill
Name: research-logger-skill
Version: 1.0.0
The research-logger skill is a legitimate automation tool for gathering web research and saving it to the Bear notes app via the grizzly CLI. The shell script (research_logger.sh) uses standard utilities and declared dependencies (web_search, web_fetch, gifgrep) to process data. While the script lacks robust input sanitization for its sed-based template filling—which could lead to execution errors if inputs contain the delimiter character—there is no evidence of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
The behavior is coherent with the stated purpose: it searches/fetches web content, searches for a GIF, fills a template, and creates a Bear note. The external lookup and note-writing capabilities are expected but worth noticing.
Instruction Scope
The skill is user-invoked with a topic and optional tags, and the artifacts do not show goal override instructions, hidden autonomous behavior, or attempts to make fetched content authoritative to the agent.
Install Mechanism
There is no install spec, but the script depends on runtime tools and a template file. Registry requirements under-declare these dependencies, which is a setup/provenance issue rather than evidence of malicious behavior.
Credentials
Sending the topic to web search/GIF tools and writing a note to Bear are proportionate to the purpose, but users should avoid sensitive topics if they do not want them sent to those services.
Persistence & Privilege
The skill creates persistent Bear notes, and may write a fallback markdown file under the OpenClaw workspace. This is disclosed and purpose-aligned, with no evidence of background persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install research-logger-skill - After installation, invoke the skill by name or use
/research-logger-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
修复模板填充逻辑，新增GIF自动匹配功能
Metadata
Frequently Asked Questions
What is research-logger?
Research a topic via web search, auto-match a relevant GIF, and log structured notes to Bear using a configurable template. It is an AI Agent Skill for Claude Code / OpenClaw, with 26 downloads so far.
How do I install research-logger?
Run "/install research-logger-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is research-logger free?
Yes, research-logger is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does research-logger support?
research-logger is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created research-logger?
It is built and maintained by terrycarter1985 (@terrycarter1985); the current version is v1.0.0.
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