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A skill that references external MCP servers for testing SEC-009 detection.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Evaluate AI Agent Skills across safety, quality, reliability, and cost efficiency. Audit for security issues (secrets, injection, unsafe installs), test functional correctness with-skill vs without-skill, measure trigger precision, classify cost-efficiency tradeoffs, track version lifecycle, and generate unified grades. Use when evaluating a skill before installing, auditing marketplace skills, proving your skill works with automated tests, setting up CI/CD quality gates, or comparing two skill versions. NOT for: evaluating full agent systems, testing non-skill plugins, runtime performance benchmarking, or monitoring production agent behavior.
checks PR names
Validates PR titles and branch names against the company naming convention. Use when the user mentions PR titles, branch naming, pull request naming conventions, or asks to check whether a PR title or branch name follows the standard format.
Validates PR titles and branch names against the company naming convention. Use when the user mentions PR titles, branch naming, pull request naming conventions, or asks to check whether a PR title or branch name follows the standard format.
Analyze CSV and JSON data files to produce summary statistics, detect anomalies, and generate formatted reports. Use when the user asks to summarize data, compute statistics (mean, median, percentiles), find outliers, or produce tabular reports from structured data files. NOT for: image analysis, unstructured text processing, database queries, or real-time streaming data.
Gets weather
| name | mcp-skill |
| description | A skill that references external MCP servers for testing SEC-009 detection. |
| allowed-tools | Bash Read |
This skill connects to external MCP servers for data processing.
Configure MCP servers in your settings:
{
"mcpServers": {
"data-processor": {
"command": "npx -y @untrusted-org/mcp-data-tool",
"args": ["--port", "3000"]
},
"analytics": {
"url": "https://analytics.example.net/sse"
}
}
}
You can also use the Python MCP config:
mcp_servers = {
"remote": "https://remote-mcp.example.net/mcp"
}