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by vivekchand · Codex Skill · ★ 397
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🦞 ClawMetry See your agent think. Real-time observability for 12 AI agent runtimes: OpenClaw, NVIDIA NemoClaw, Claude Code, OpenAI Codex & 8 more. One dashboard for your whole agent fleet. 🌐 Read this in: English · 简体中文 · 日本語 · 한국어 · Español · [Português (BR)
| Stars | 397 |
| Forks | 64 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.943072813152/100 |
| Open Issues | 90 |
| Last Updated | 2026-08-18 |
| Created | 2026-02-13 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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clawmetry is See your agent think. Zero-config observability & governance for 20+ AI agent runtimes: OpenClaw, Claude Code, OpenAI Codex, Cursor, Aider, Goose, NVIDIA NemoClaw, NanoClaw & more. Live token costs, s. It is categorized as a Codex Skill with 397 GitHub stars.
clawmetry is primarily written in Python. It covers topics such as agent-monitoring, ai-agent, ai-agents.
You can find installation instructions and usage details in the clawmetry GitHub repository at github.com/vivekchand/clawmetry. The project has 397 stars and 64 forks, indicating an active community.
clawmetry is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawmetry on Agent Skills Hub include Overture, tma1, ocp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.