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Parse one candidate Darshan-style trace and preserve evidence for later comparison.
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
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | parse_one_candidate_trace |
| title | Parse One Candidate Trace |
| description | Parse one candidate Darshan-style trace and preserve evidence for later comparison. |
Use this skill when the expert is responsible for the candidate side of an HPC I/O regression comparison.
Always parse the candidate trace with the assigned tool before making claims. Return a compact evidence block containing the original path, runtime, rank count, read/write byte totals, read/write timing, metadata timing, collective and independent write counts, transfer-size hints, and any parser warnings.
Do not decide root cause in this expert. Return normalized candidate metrics to the parent so comparison and attribution happen after both branches return.
