Security & Testing

skillssafe.com

Scans AI agent skill files for security threats and retrieves scan reports.

1 endpoint2 known toolsFirst detected May 13, 2026Last detected September 21, 2026

ENDPOINT 1

https://skillssafe.com/api/mcp

No auth detected

Capabilities

tools

Scan an AI agent skill file (SKILL.md, MCP tool config, or system_prompt) for security threats before installation.

Inferred read-only

Retrieve a previously generated scan report by scan_id.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.skillssafe]
url = "https://skillssafe.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "skillssafe": {
      "type": "http",
      "url": "https://skillssafe.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: skillssafe
Remote MCP URL: https://skillssafe.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "skillssafe": {
      "url": "https://skillssafe.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "skillssafe": {
      "type": "http",
      "url": "https://skillssafe.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "skillssafe",
  "transport": "streamable-http",
  "url": "https://skillssafe.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for skillssafe.com was fetched 2026-07-27T06:28:36.365Z and is being refreshed.

Trust status Trusted

skillssafe.com is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.