cto-db

Execute read-only SQL queries against CTO operations databases.

15|5|Updated May 19, 2026
One-click install
npx skills add https://github.com/bobmatnyc/trusty-tools --skill cto-db
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cto-db
Source: https://github.com/bobmatnyc/trusty-tools/tree/main/crates/trusty-agents/.trusty-agents/skills/cto-db
Command: npx skills add https://github.com/bobmatnyc/trusty-tools --skill cto-db

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill provides a secure, read-only interface to access sensitive CTO operations data, including headcount, budget, risk registers, and work distribution, without requiring direct database access or complex manual queries.

Core Features & Use Cases

  • Headcount Analysis: Retrieve active personnel counts filtered by team, status, or vendor source.
  • Budget Tracking: Access 2026 R&D budget breakdowns by team or organization.
  • Risk Management: Identify low-confidence classifications from the risk register proxy.
  • Work Classification: Analyze work-type distribution for the most recent month across different pods.

Quick Start

Ask the cto-assistant to query the headcount grouped by team to get an immediate summary of active personnel.

Frequently Asked Questions about cto-db

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query headcount data grouped by team from a SQLite database?

To retrieve headcount data, execute structured SQL queries against the SQLite backend to retrieve active personnel counts filtered by team, status, or vendor source.

Can I access the R&D budget breakdown by organization without direct database permissions?

You can access the 2026 R&D budget breakdowns by team or organization securely through a read-only interface without requiring direct database permissions or complex manual queries.

What is the best way to analyze work-type distribution metrics for recent months?

The best way to analyze work-type distribution metrics is by executing structured SQL queries against the SQLite backend to analyze work distribution for the most recent month across different pods.

Does this database query approach support identifying low-confidence classifications in a risk register?

Querying the risk register proxy via structured SQL allows you to identify low-confidence classifications from the risk register data within the SQLite backend.

Can I use a subprocess-based execution bridge for testing database queries with fixtures?

The generic subprocess-based tool execution bridge supports fixture-based testing and production database paths to ensure secure data access during SQLite query execution.

Are there limitations when querying CTO operations data through a read-only interface?

The primary limitation of the read-only interface is that it restricts data access to queries only, preventing any write operations or direct modifications to the underlying SQLite database.