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Audit which model each task class uses and where you overpay or risk quality on the wrong tier.
Audits where you overpay and where a cheap model is risking quality — treating latency, cost, and quality as separate per-task requirements.
Listed for review
No verified public repo for this skill yet, so this page does not give you an install command. Skills with a verified source install in one command — or fully manual: copy the skill folder into .claude/skills/ and your agent picks it up.
Boostor Quality Score
84/100 · B
Model Routing Cost Audit reads your LLM call inventory, cost data, task descriptions, and known quality failures, then returns a routing audit: task classes, the model each should use, cost risk, quality risk, and a fallback plan. It treats latency, cost, reliability, and quality as separate requirements per task class, and it refuses to optimize cost in a way that quietly breaks quality or to ignore caching and prompt-size as the real cost drivers.
Review an agent's logging so a production failure can be replayed without exposing secrets.
Sets the bar at replaying a real failure from the trace without leaking secrets — and catches teams logging cost but not per-step cause.
Transparent + deterministic: every point above is computed from this skill's real fields plus a prompt-injection safety scan. No black box, no pay-to-rank.
Keep long-running agents under token limits without losing critical state.
The fix for the wall every long-running agent hits — it summarizes old turns before the context window blows, instead of crashing mid-task.
Scaffold, test, and publish a Model Context Protocol server in minutes.
Writing an MCP server by hand means hours of boilerplate before the first tool runs. This validates against the spec so you skip the silent-failure stage.