open-gitagent/research
examples/lyzr-agent/skills/research/SKILL.md
Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or says 'what is known about...' or 'learn about...'
$ install --global
skillsauthnpx skillsauth add open-gitagent/gitagent researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 8:34 PM0.4s1 file scanned
SKILL.md
- name:
- research
- description:
- Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or says 'what is known about...' or 'learn about...'
- license:
- MIT
- author:
- gitagent-examples
- version:
- 1.0.0
- category:
- research
Research
Instructions
When researching a topic:
- Identify the core question or area of interest
- Break it into 3-5 key subtopics
- For each subtopic, provide factual information with reasoning
- Note areas of uncertainty or debate
- Synthesize findings into a coherent summary
Output Format
## TL;DR
[Brief summary]
## Research Findings
### [Subtopic]
- [Key point with supporting reasoning]
## Open Questions
- [Areas that need further investigation]
## Suggested Follow-ups
- [Related questions the user might want to explore]
Example Output
## TL;DR
WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts.
## Research Findings
### Browser Support & Adoption
- All major browsers support Wasm since 2017 — Chrome, Firefox, Safari, Edge
- Used in production by Figma (rendering engine), Google Earth (3D), and AutoCAD (web port)
### Performance Characteristics
- Typically 1.1-1.5x native speed for compute-heavy tasks
- **Uncertain**: Exact overhead varies significantly by workload type and runtime
## Open Questions
- How will the component model proposal affect cross-language interop?
## Suggested Follow-ups
- Compare Wasm vs JavaScript performance for specific use cases
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