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SKILL verified MIT Self-run

Research

skill-open-gitagent-opengap-research · by open-gitagent

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...

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Install

$ agentstack add skill-open-gitagent-opengap-research

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Research

Instructions

When researching a topic:

  1. Identify the core question or area of interest
  2. Break it into 3-5 key subtopics
  3. For each subtopic, provide factual information with reasoning
  4. Note areas of uncertainty or debate
  5. 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.