A Claude Code skill was eating 200,000 tokens before answering a single question
The New Stack reported an issue where a Claude Code skill was consuming 200,000 tokens before it could answer a single question. This token consumption is notably high, as it represents a substantial portion of the context window for many AI models. The report suggests that such inefficiency could lead to increased operational costs and reduced responsiveness for developers relying on Claude Code for coding assistance. The exact cause of the token drain was not detailed in the source, but the figure of 200,000 tokens serves as a concrete example of the problem. This incident underscores the importance of optimizing AI tooling to avoid excessive resource usage, which can be particularly problematic in development environments where efficiency and cost-effectiveness are critical. The source did not provide specific recommendations or remediation steps, but the reported figure highlights a potential area for improvement in Claude Code's skill implementation.
Excessive token consumption can inflate costs and slow down AI-assisted development workflows.