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scientific-python-debugging
Debug failing scientific Python inside isanagent execution_run—tracebacks, truncation, seeds, provider mismatch.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Debug failing scientific Python inside isanagent execution_run—tracebacks, truncation, seeds, provider mismatch.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
MaxEvolve Triton/PyTorch to JAX/Pallas porting with GpuToJax 12-step pipeline, interpret=True validation, MAP-Elites evolution, and Colab/SSH hardware profiling.
Manage Google Colab sessions and execute code on remote Colab VMs via the colab-cli.
Use when you need to generate a synthetic dataset. You can use Afterimage Python package to create, conversational, tool-calling, multi-choice questions, or other types of structured output datasets for SFT, or preference data for DPO.
Schedule deferred or recurring work via the isanagent cron tool—add/remove jobs with correct runtime context fields.
Configure long wall clocks and use execution_run_background + job polling for ML or hours-long runs without blocking the agent loop.
Run numeric or ML code through isanagent execution tools without flooding context—artifacts, incremental runs, sandbox paths.
| name | scientific-python-debugging |
| description | Debug failing scientific Python inside isanagent execution_run—tracebacks, truncation, seeds, provider mismatch. |
| requires | {"bins":[],"env":[]} |
| always | false |
Use this when execution_run returns non‑zero exit, empty stdout, traceback text, or results that look nondeterministic or environment‑wrong.
... (truncated)), you hit max_output_bytes—rerun with less logging, write logs to a file under the sandbox, or tail-style smaller prints.Shrink data (fewer rows, smaller tensor, subset of files) until the failure is obvious. Set explicit random seeds (random, numpy.random.seed / Generator, framework-specific seed args) so “flakey” runs become stable.
execution_env_infoexecution_cancel, then shorter timeout_secs, smaller input, or progress prints to a file.NameError / ImportError after an earlier success: if local REPL mode is on, you may have shadowed a name or partially executed cells—reread prior runs in the same session or restart by execution_session_close + new session.FileNotFoundError: paths must be valid inside the sandbox (or server cwd for Jupyter)—use glob_files / list_directory before assuming paths.After two substantially different fixes still fail, summarize: hypothesis, evidence (stderr snippet, exit code), and what you already tried. Call ask_user only if you need a decision you cannot infer (e.g. which remote dataset, credentials, or kernel image).