by psi-oss · Codex Skill · ★ 819
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Get Physics Done (GPD) Built by physicists, for physicists Get Physics Done is an open-source AI copilot for physics research from Physical Superintelligence PBC (PSI), released as a community contribution. GPD helps turn a research question into a structured workflow: scope the problem, plan the work, derive results, verify them, and package the output. Quick Start · Supported Runtimes · Workflow · Commands · Models · Advanced CLI · System Requirements Who This Is For GPD is for hard physics research problems that cannot be handled reliably with manual prompting. It is designed for long-horizon projects that require rigorous verification, structured research memory, multi-step analytical work, complex numerical studies, and manuscri
| Stars | 819 |
| Forks | 122 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 51.502/100 |
| Open Issues | 31 |
| Last Updated | 2026-06-05 |
| Created | 2026-03-09 |
| Platforms | claude-code, codex, gemini, python |
| Est. Tokens | ~1470k |
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get-physics-done is The first open-source agentic AI physicist, by Physical Superintelligence PBC (PSI).. It is categorized as a Codex Skill with 819 GitHub stars.
get-physics-done is primarily written in Python. It covers topics such as agentic-ai, claude, codex.
You can find installation instructions and usage details in the get-physics-done GitHub repository at github.com/psi-oss/get-physics-done. The project has 819 stars and 122 forks, indicating an active community.
The top alternatives to get-physics-done on Agent Skills Hub include openpencil, generative-ai, mcp-memory-service. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.