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Install
$ agentstack add skill-friz-zy-ai-capability-registry-awslabs-cloudwatch-appsignals ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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Amazon CloudWatch Application Signals
Application performance monitoring and insights.
When to use
- Use Amazon CloudWatch Application Signals only when the task directly involves the relevant service, SaaS product, platform, or technology.
Connection
Docker stdio
{
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/cloudwatch-appsignals-mcp-server"
]
}
MCP instructions
Docker launch notes
- Launch through Docker stdio with
docker run --rm -i mcp/cloudwatch-appsignals-mcp-server.
References
- https://github.com/awslabs/mcp
- https://github.com/docker/mcp-registry/tree/main/servers/awslabs-cloudwatch-appsignals
Security policy
- Authentication:
Open or unspecified
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Friz-zy
- Source: Friz-zy/ai-capability-registry
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.