by lee-to · Agent Tool · ★ 20
ai-tester End-to-end behavioral testing for skills, bare system prompts, and agent runtimes. Run real scenarios in an isolated git sandbox, capture normalized tool-call traces, and assert behavior with declarative YAML. Why ai-tester? LLM tests that mock the model are easy to write and weak at catching production failures. The real bugs show up in tool-use sequences, sandbox behavior, permission-mode differences, and the instructions the model actually sees.
| Stars | 20 |
| Forks | 1 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.0127539102872/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-20 |
| Platforms | rust |
| Est. Tokens | ~53k |
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ai-tester is End-to-end behavioral testing skills, bare system prompts, and any agent runtime — run real scenarios in an isolated git sandbox, capture the full tool-call trace, and assert it against declarative YA. It is categorized as a Agent Tool with 20 GitHub stars.
ai-tester is primarily written in Rust. It covers topics such as ai, ai-agents, ai-agents-framework.
You can find installation instructions and usage details in the ai-tester GitHub repository at github.com/lee-to/ai-tester. The project has 20 stars and 1 forks, indicating an active community.
ai-tester is released under the MIT license, making it free to use and modify according to the license terms.