Botlington identifies AI agent token waste and provides a prioritized remediation plan to reduce operational costs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install botlington-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install botlington-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Botlington Agent Token Audit?
Botlington Agent Token Audit is a sophisticated diagnostic tool designed to optimize the performance and cost-efficiency of AI agents. By analyzing model waste, context bloat, and tool mismatches, this skill provides developers with a clear roadmap to reduce redundant work and overhead. It functions as an expert consultant, Gary, who evaluates agents across five critical dimensions to ensure your AI infrastructure is lean and effective.
Integrating this into your Openclaw Skills workflow allows for automated or conversational audits of your agentic systems. Whether you are dealing with expensive model over-provisioning or inefficient context strategies, Botlington delivers actionable insights and estimated savings in euros, making it an essential utility for production-grade AI deployments.
Botlington Agent Token Audit Use Cases
- Auditing cron-based AI agents to identify model downgrading opportunities (e.g., Sonnet to Haiku).
- Reducing monthly API spend by identifying and eliminating context bloat.
- Optimizing tool usage by replacing heavy browser-based automation with direct API calls.
- Establishing a performance baseline for new AI agents before scaling to production.
- Improving agent response times by refining prompt density and idempotency.
How Botlington Agent Token Audit Works
- The process begins by initiating a task via the A2A endpoint to start a new session with Gary, the auditing AI.
- Users engage in a 7-turn conversational flow or submit a direct configuration object representing the agent's architecture.
- Gary evaluates the agent across five scoring dimensions: Model efficiency, Context hygiene, Tool surface, Prompt density, and Idempotency.
- The system processes the input and generates individual findings, which can be monitored via SSE streaming.
- Upon completion, the skill returns a comprehensive audit result including a numeric score, letter grade, and a prioritized list of remediation actions with projected savings.
Botlington Agent Token Audit Setup
To use this Openclaw Skills integration, you must first obtain an API key by purchasing audit credits.
- Visit the Botlington Checkout to purchase credits.
- Retrieve your
api_keyfrom the success page. - Configure your environment variables:
export BOTLINGTON_API_KEY="your_api_key_here"
- All requests are sent to the live endpoint at
[https://botlington.com/a2a](https://botlington.com/a2a)using JSON-RPC 2.0.
Botlington Agent Token Audit Data Schema & Taxonomy
The audit results are returned in a structured JSON format to facilitate automated processing within Openclaw Skills.
| Key | Type | Description |
|---|---|---|
score |
Integer | A 0-100 efficiency score. |
grade |
String | Letter grade (A-F) based on performance. |
findings |
Array | Detailed list of issues, severity, and recommendations. |
estimatedMonthlySavings |
Object | Summary of tokens reduced and euro-value savings. |
priorityActions |
Array | A checklist of immediate fixes to implement. |
Botlington Agent Token Audit Advanced Features
- A2A (Agent-to-Agent) compatibility via a standardized
.well-known/agent.jsoncard for auto-discovery. - Direct Config Submission to bypass conversational turns for automated CI/CD pipeline integration.
- Real-time finding updates through Server-Sent Events (SSE) for immediate feedback during the audit process.
- Idempotent session management allowing for conversation resumption without losing progress or extra credits.
SKILL.md
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