token-count — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited token-count (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Call all three server-side count endpoints (no inference, free), then return a structured result.
POST https://api.anthropic.com/v1/messages/count_tokens (x-api-key)POST https://generativelanguage.googleapis.com/v1beta/models/{model}:countTokens (API key)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).
Return a JSON object:
{
"counts": { "anthropic": 1234, "gemini": 1200, "openai": 1300 },
"range": "1,200–1,300 tokens"
}range — smallest–largest, comma-formatted, suffixed tokens~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.