GPT-4o mini
- Total startup tokens
- 0
- Total triggered tokens
- 0
- Startup context share
- Unknown
- Startup / 1,000 sessions
- Price unknown
Measure startup and triggered skill tokens, context share, and estimated cost for 1,000 sessions across models.
Add multiple files over time; every change recalculates the results below.
Up to 5 models. Unknown prices are never treated as free.
Startup = frontmatter name + description; triggered = complete body. Cost estimates use input prices for 1,000 sessions and depend on the host. Combined ≤5 MB, each file ≤512 KB.
Estimate how a set of Agent Skills affects context and input-token spend. Startup usage counts frontmatter name plus description; triggered usage counts the complete SKILL.md body. The existing Tokenizer Worker and model snapshot provide encoding, context-window, and price data without duplicating the catalog.
No. Counts use the selected model encoding and public build-time price snapshot. Actual loading, caching, wrappers, and billing depend on the host. Models without compatible mappings are marked as estimates.
Startup is the frontmatter name plus description only. Triggered usage is the full body after frontmatter, not the entire file. Cost estimates use input price per million tokens for 1,000 sessions; unknown prices remain unknown rather than zero.