by ramtinJ95 · Agent Tool · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Comprehensive token usage analysis and cost tracking for opencode sessions
| Stars | 124 |
| Forks | 5 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 49/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-14 |
| Created | 2025-10-30 |
| Platforms | node |
| Est. Tokens | ~26k |
Looking for a opencode-tokenscope alternative? If you're comparing opencode-tokenscope with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Transform your Claude Code terminal with atomic precision statusline. Features flexible layouts, real-time cos
htop for your Claude Code sessions — real-time cost, cache efficiency, model comparison, and smart alerts
Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)
10 Claude sessions running. What are they doing? Live dashboard — monitor, cost tracking, search, sub-agent vi
htop for your AI costs — real-time terminal monitoring of LLM token usage and spending across providers and co
A beautiful, zero-dependency command center for OpenClaw AI agents
Explore other popular agent tool tools:
opencode-tokenscope is Comprehensive token usage analysis and cost tracking for opencode sessions. It is categorized as a Agent Tool with 124 GitHub stars.
opencode-tokenscope is primarily written in TypeScript. It covers topics such as ai-tools, cost-tracking, developer-tools.
You can find installation instructions and usage details in the opencode-tokenscope GitHub repository at github.com/ramtinJ95/opencode-tokenscope. The project has 124 stars and 5 forks, indicating an active community.
opencode-tokenscope is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opencode-tokenscope on Agent Skills Hub include claude-code-statusline, claudetop, toktrack. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.