Expired50% confidenceFactExact time
Codex Skills automatically simulate input data to perform smoke tests on extracted code, verifying whether the input and output tensor dimensions of the module are correct and whether the forward pass can be completed normally.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedCodex can batch-spawn multiple sub-threads from a single thread and use computer use to test features one by one.70% similarUnverifiedThe tester used Codex to generate programming questions to avoid data contamination issues, ensuring the questions had not appeared in any model's training set.68% similarUnverifiedCodex在Windows上可以执行测试应用、调试流程和审查工作等关键操作68% similarUnverifiedCodex is capable of autonomously creating branches, writing code, running tests, and fixing failed test cases, ultimately submitting results in the form of a Pull Request.66% similarUnverifiedCodex模型的评估通常使用HumanEval和MBPP等编码基准测试65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/40716API
curl https://kongchang.com/api/v1/knowledge/claims/40716MCP
get_claim(id=40716)