agentleFS
smcllnssmcllns/skills/token-count/SKILL.md

token-count

Skill0 starsChanged 5 months agoMITView on GitHub

Use when you need a free, accurate token count across Anthropic/Gemini/OpenAI for prompt budgeting, skill sizing, or annotating file references. Returns per-vendor counts and a range string.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Call all three server-side count endpoints (no inference, free), then return a structured result.

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Token count

Call all three server-side count endpoints (no inference, free), then return a structured result.

  • Anthropic — POST https://api.anthropic.com/v1/messages/count_tokens (x-api-key)
  • Gemini — POST https://generativelanguage.googleapis.com/v1beta/models/{model}:countTokens (API key)
  • OpenAI — POST https://api.openai.com/v1/responses/input_tokens (Bearer)

Tokenizer is vendor-fixed; model only selects family. Use any current model per vendor (e.g. claude-sonnet-4-6, gemini-2.5-flash, gpt-5).

Output

Return a JSON object:

{
  "counts": { "anthropic": 1234, "gemini": 1200, "openai": 1300 },
  "range": "1,200–1,300 tokens"
}
  • range — smallest–largest, comma-formatted, suffixed tokens

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