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audit-agents

Inventory AI-agent fleets and flag underperforming or costly agents for pruning.

Updated Apr 25, 2026
Search Tags:#optimization#audit#AI-agent#private equity#agent pruning
One-click install
npx skills add https://github.com/bolnet/private-equity --skill audit-agents-bolnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: audit-agents
Source: https://github.com/bolnet/private-equity/tree/main/finance-mcp-plugin/skills/private-equity/audit-agents
Command: npx skills add https://github.com/bolnet/private-equity --skill audit-agents-bolnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the issue of inefficiencies in AI-agent fleets within private equity, helping identify and recommend pruning agents that are underutilized, over-budget, or misaligned.

Core Features & Use Cases

  • Agent Audit: Inventory and evaluate all registered AI-agents for usage patterns, costs, and alignment with business goals.
  • Flagging: Identifies 'zombie' agents (inactive), 'runaway cost' agents (over budget), and 'misaligned' agents (output failure).
  • Pruning Recommendations: Provides a list of agents to prune based on the identified flags, calculating potential annual savings.
  • Use Case: A PE firm uses this Skill to ensure their AI-agents are delivering value, removing those that are not, to optimize spend and improve overall AI effectiveness.

Quick Start

Run the audit-agents skill on your AI-agent fleet to identify and recommend pruning candidates.

Frequently Asked Questions about audit-agents

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

FAQPage Schema
How do I audit AI-agent fleets in private equity for cost optimization?▼

To audit AI-agent fleets for cost optimization, you inventory registered agents, evaluate usage patterns and costs, flag underperforming agents, and recommend pruning candidates based on business goal alignment.

What identifies a 'zombie' or 'runaway cost' AI-agent during an audit?▼

A 'zombie' AI-agent is identified as inactive during an audit, while a 'runaway cost' agent exceeds its allocated budget, and a 'misaligned' agent fails to meet expected business output objectives.

How do I calculate annual savings from pruning underperforming AI-agents?▼

You calculate annual savings from agent pruning by evaluating the telemetry data on usage and costs for flagged agents, then projecting the removed operational expenditure over a full year.

What data is required to perform an AI-agent fleet audit?▼

Performing an AI-agent fleet audit requires telemetry data on agent performance metrics and operational costs to accurately assess usage patterns and alignment with private equity business objectives.

Can I evaluate AI-agent alignment with private equity business goals without telemetry?▼

Evaluating AI-agent alignment with business goals requires telemetry data to measure performance and costs, so without this data, accurately flagging misaligned or underutilized agents for pruning is not possible.

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