Token Counter for OpenClaw — Review, Trust Score & Install Guide
Short answer: Token Counter is a verified OpenClaw skill for ai & llms. Trust Score 90/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.
Trust Score: 90/100
- Security tier: Verified
- Risk level: Low
- Last reviewed: 2026-02-12
- Reviewer: OpenClaw Skills Hub editorial team
- Version: 1.4.0
- Author: openclaw-core
- Install command:
npx clawhub@latest install token-counter
How we calculate Trust Scores →
What Token Counter does
Token Counter provides precise tokenization counting for every major LLM provider. Track costs in real-time, set budget alerts, generate usage reports, and optimize your spending. It supports GPT, Claude, Gemini, Llama, and Mistral tokenizers natively.
How to install Token Counter
- Install the OpenClaw CLI:
npm install -g clawhub@latest
- Install this skill:
npx clawhub@latest install token-counter
- Verify the install:
openclaw skills list
Security review
This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.
Best for
- Estimate API costs before sending expensive prompts
- Track token usage and spending across projects
- Set budget alerts to prevent cost overruns
- Compare token efficiency across different models
Avoid if
- You need a fully air-gapped install with no network calls.
- Your environment forbids skills with third-party dependencies.
- You require a formally audited SBOM that this version does not yet provide.
Alternatives & related skills
- LLM Router — Automatically route prompts to the best model based on task complexity, cost, and latency requirements.
- Prompt Optimizer — Automatically optimize and compress prompts for better results and lower token costs.
- Context Window Manager — Intelligently manage large context windows — chunk, summarize, and prioritize content to fit any model's limits.
Frequently asked questions
Is the count exact?
Yes — it uses the official tokenizer for each model, so counts match what providers charge you.
Can it count tokens offline?
Yes, all tokenizers run locally. No API calls needed for counting.
How do I install Token Counter?
Run `npx clawhub@latest install token-counter` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.
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