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Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.
credit-optimizer is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Credit Optimizer v5 **Automatically optimize AI agent credit/token usage by routing tasks to the most cost-efficient execution path — with zero quality loss.*. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding credit-optimizer to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install rafsilva85/credit-optimizer-v5Review the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Credit Optimizer v5 **Automatically optimize AI agent credit/token usage by routing tasks to the most cost-efficient execution path — with zero quality loss.** Audited across 53