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Analyze worst-case token budgets for agent workflows and issue signed certificates.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "costwright — agent budget analysis" MCP server from askskill: Run: claude mcp add 'io-github-hernaninverso-costwright-mcp' -- npx -y costwright-mcp
Run a worst-case token budget analysis for this LLM agent workflow: classify the user request, retrieve 5 documents, generate an answer, then perform one self-check. List per-step budget, total budget, and key risk points.
A step-by-step worst-case token breakdown, total budget estimate, and notes on stages that may exceed the limit.
Generate a signed budget certificate for this agent configuration: a GPT-style model, 3 tool-call rounds, a 2-retry policy, and a final summarization step. Output an auditable budget certificate and summary.
An auditable signed or verifiable budget certificate with a configuration summary and budget conclusion.
Compare worst-case budgets for two agent designs: Plan A uses one retrieval step with long-context generation, while Plan B uses multi-round retrieval with short-context iterations. Provide budget differences, risk ratings, and optimization suggestions.
A comparison of both plans' budgets, risk ratings, and recommendations to reduce token usage.
Track AI agent token usage and costs with alerts and task breakdowns.
Estimate LLM token spend for coding tasks with ranges, scenarios, and confidence.
Perform cross-chain crypto actions, contract decoding, portfolio checks, and security screening.
Securely manage agent payment sessions with budgets, allowlists, and per-transaction caps.
Track AI model pricing, compare costs, and monitor token usage in real time.
Decompose AI workflows, route each step to the best model, and trace execution.