The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Agentcents listing page.
A Claude Skill that turns Claude into a neutral LLM cost advisor: estimate what any call or agent workflow will cost across candidate models, get the cheapest model that clears the task's capability bar, and see the comparison as a Mermaid diagram — with honest ranges, never false point estimates.
Works two ways:
Claude.ai / Desktop: Settings → Capabilities → Skills → Add → upload this
folder (or the packaged .skill).
Claude Code: /plugin marketplace add labham-llc/agentcents-skill
then /plugin install agentcents@labham-skills
Then just ask things like:
what would it cost to classify ~500 support emails a day, about 200 tokens each?
I'm building a 5-step research agent — which model should each step use?
Snapshot verified: 2026-07-15 (see _meta.verified_utc) — refreshed with each agentcents release.
agentcents is a local proxy that meters,
forecasts, and budget-enforces LLM API calls — and grades its own forecasting
accuracy on a calibration page. pip install agentcents. The skill is free;
so is the agentcents free tier.
© Labham LLC · skill instructions and snapshot data may be redistributed with attribution; the agentcents software itself is proprietary (see its LICENSE).