resources

What This Skill Does

The resources skill is a critical governance and monitoring tool for the OpenClaw AI agent. It acts as an internal auditor for your API credit consumption, providing real-time visibility into your spending on external services like Anthropic Claude and OpenAI. By tracking usage against predefined monthly budgets and service limits, the skill empowers users to maintain high productivity while strictly adhering to financial constraints. It includes detailed cost breakdowns, proactive budget alerting, and guidelines for optimized model usage to prevent unexpected expenditures.

Installation

To integrate this resource management skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/sa9saq/resources Ensure you have the necessary environment permissions to access the configuration files for budget tracking.

Use Cases

• Proactive Budgeting: Set monthly caps for specific project streams like development, research, or SNS operations and receive notifications as you approach limits.
• Model Optimization: Get advice on when to switch from high-performance models like Claude Opus 4.5 to more cost-effective alternatives like Haiku 4.5.
• Operational Auditing: Review past service usage logs to identify spikes in consumption or inefficient task execution patterns.
• Cost-Effective Development: Apply specific development rules, such as iterative code generation and prompt caching, to drastically reduce token spend during long-running coding tasks.

Example Prompts

• "APIクレジットの状況を教えてください。現在の消費傾向と残り予算を確認したいです。"
• "今月の予算配分を確認して、実験・研究に使える残りのクレジットを計算して。"
• "APIコストを抑えて開発したい。今のタスクで最も安価なモデルへの切り替えを推奨して。"

Tips & Limitations

To maximize the efficiency of this skill, prioritize prompt caching for repetitive tasks and split large, complex coding projects into smaller, modular iterations. Be aware that this skill tracks cost based on current API pricing structures (as of February 2026). If you connect new services (like additional Cloudflare Workers or R2 buckets), you must ensure they are tracked manually or via the configuration schema. This skill does not automatically halt API calls, but it provides the telemetry needed to trigger manual or automated stops via your infrastructure layer when thresholds like the $5 emergency limit are reached.