ContextLab / ContextLab/llmXive
[engine-failure] PROJ-208-statistical-analysis-of-publicly-availab @ tasks: RuntimeError
- Dominant language
- Python
- Stars
- 4
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Automated report (spec 023 / FR-016) — an unexpected engine failure occurred while processing **PROJ-208-statistical-analysis-of-publicly-availab** at stage `tasks`.
```
RuntimeError: LLMReviewer[executability]: review frontmatter has neither `verdict:` nor `concerns:`/`action_items:` — a contentless/truncated review MUST NOT count as acceptance (false-convergence guard). First 200 chars: '```yaml\n---\nreviewer_name: rq_validity\nreviewer_kind: llm\nstage: tasks\nartifact_path: projects/PROJ-208-statistical-analysis-of-publicly-availab/specs/001-statistical-analysis-of-publicly-availab/task'
```
The project remains schedulable; it will retry on its normal cadence and recover once the underlying defect is fixed. Closing this issue does not require any project-state change.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start at the LLMReviewer[executability] entry point while reproducing processing at the `tasks` stage for the artifact under projects/PROJ-208-statistical-analysis-of-publicly-availab/specs/001-statistical-analysis-of-publicly-availab/task. Trace how the review frontmatter is handled when it contains neither `verdict:` nor `concerns:`/`action_items:`. Done means a contentless or truncated review cannot count as acceptance and the normal retry can recover.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100