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.
In this repository3 other files it gives its agents.
- obsidian-html-docsSkill
- path-to-goalSkill
- social-researchSkill
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
- Distinctive: line 8
Call all three server-side count endpoints (no inference, free), then return a structured result.
≈ “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.
Files
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, suffixedtokens
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

