[aw] Daily Rig Decomposition Benchmark: is missing required data
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 新手友好度
- 52/100
调研方向
Start with .github/workflows/daily-rig-decomposition-bench.md and inspect the failed run’s details to see where the benchmark is expected to receive its inputs. Check whether the hospital formulary CSVs, brand-to-generic lookup, currency rates, and drug-pair list are supplied by the workflow prompt or another referenced source. Done means the run receives the required data and completes without reporting it missing.
由索引模型根据 Issue 内容生成。
描述
What happened
Daily Rig Decomposition Benchmark is missing required data.
View run #41058921387 · Workflow source · Previous failures
Branch: main
Next step
Review the failure details below for a targeted fix, or assign this issue to a coding agent to investigate.
Failure details
[!WARNING]
Missing Data Reported: The agent reported missing data during execution.
Missing Data:
-
Hospital formulary CSVs, brand-to-generic lookup, currency rates, drug-pair list: Input says data is inline in the prompt, but no CSV blocks, lookup, rates, or pairs were provided.
- Context: Needed to build script, merged table, and duplicate log without fabricating data.
Copy a debugging prompt
Paste this into your coding agent:
Debug the agentic workflow "daily-rig-decomposition-bench" failure.
Follow https://raw.githubusercontent.com/github/gh-aw/main/debug.md
Failed run: https://github.com/githubnext/rig/actions/runs/41058921387
If the repository includes the agentic-workflows skill, load it before investigating.
Manage failure notifications
To stop creating failure issues for this workflow, set this in its frontmatter and recompile:
safe-outputs:
report-failure-as-issue: false
This only disables issue reporting; it does not fix the failure.
Generated from Daily Rig Decomposition Benchmark · copilot · sonnet55 · ~72 AIC · ◷
- expires on Nov 6, 2026, 1:03 PM UTC
- 主要语言
- TypeScript
- 星标
- 14
- 派生
- 0
- 平均合并
- 9 小时 27 分钟
- 30 天内合并 PR
- 34
环境准备
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从这里开始
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- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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