[aw] Rig Skill Integration - DeepSeek Harness finished without a clear failure cause
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Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 35/100
- Tipo de issue
- Error
- Claridad
- Bastante claro
- Estado de actividad
- Activo
- Stack tecnológico
- github-actions, typescript
Línea de trabajo
Start with the linked workflow run and inspect the Execute DeepSeek Harness step for runtime logs, then read .github/workflows/rig-skill-integration-deepseek.md and the agentic-workflows skill at .github/skills/agentic-workflows/SKILL.md. Trace why the engine driver exited without recording a terminal safe output. Done means the run's failure has a specific cause and the workflow or runtime is fixed so task completion is reported reliably.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Workflow Failure
Workflow: Rig Skill Integration - DeepSeek Harness
Branch: main
Run: https://github.com/githubnext/rig/actions/runs/39139695497
[!WARNING]
Task Could Not Be Completed: The workflow recorded areport_incompletesignal: the task was not completed or completion could not be confirmed.
Error details:
Failure classification: unknown
Driver exit code: 1. The engine driver exited before a terminal safe output was recorded.
Last tool call status: not recorded
Failed tool calls observed: 0
Token budget state: unknown (no exhaustion signal recorded)
Step budget state (LLM invocations): unknown (no exhaustion signal recorded)
Safe-output tools: available at gateway snapshot (registered 5 tools)
Safe-output CLI calls observed: unknown (not recorded)
Safe-output MCP calls observed: 0
Safe-output persistence: not recorded
Agent finished without emitting a terminal safe output; task completion could not be confirmed.
Last engine error type: unknown
Retry attempts observed: 0
A comment or other safe output does not confirm that the requested task was completed. Only inferred runtime status and error codes are reported; agent text is excluded.
Failure Diagnostics
Agent job: agent
Agent job conclusion: failure
Failing step: Execute DeepSeek Harness
The runtime did not record a specific cause. Check the linked run for failure details.
Only runtime metadata is shown; agent-generated text is excluded.
Action Required
Assign this issue to an agent to debug and fix the issue.
Debug with any coding agent
Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.):
Debug the agentic workflow failure using https://raw.githubusercontent.com/github/gh-aw/main/debug.md
The failed workflow run is at https://github.com/githubnext/rig/actions/runs/39139695497
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
- Start your agent
- Load the
agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.md - Type
debug the agentic workflow rig-skill-integration-deepseek failure in https://github.com/githubnext/rig/actions/runs/39139695497
[!TIP]
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter:safe-outputs: report-failure-as-issue: false
Generated from Rig Skill Integration - DeepSeek Harness · ◷
- expires on Oct 25, 2026, 3:18 PM UTC
- Lenguaje dominante
- TypeScript
- Estrellas
- 14
- Forks
- 0
- Merge medio
- 9 h 49 min
- PR fusionados (30 d)
- 32
Preparar el entorno
Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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