[aw] UK AI Advisory / Resilience: reported incomplete result
Los mantenedores suelen responder en 1 día
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 25/100
- Tipo de issue
- Error
- Claridad
- Bastante claro
- Estado de actividad
- Activo
- Stack tecnológico
- github-actions, javascript
Línea de trabajo
Start with the failed run and the workflow source at .github/workflows/uk-ai-advisory-operational-resilience.md, then follow the debugging guide at https://raw.githubusercontent.com/github/gh-aw/main/debug.md. Investigate the reported firewall startup failure and incomplete completion signal; the issue does not identify a code location or cause. Done means the workflow completes successfully and its requested task is confirmed complete.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
What happened
UK AI Advisory / Resilience reported incomplete result.
View run #39564461737 · 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
Runtime evidence
[!WARNING]
Task Could Not Be Completed: The workflow recorded areport_incompletesignal: the task was not completed or completion could not be confirmed.
Error details:
Completion signal: agent reported incomplete (reason and details excluded)
Safe-output tools: available at gateway snapshot (registered 5 tools)
Safe-output CLI calls observed: unknown (not recorded)
Safe-output MCP calls observed: 1
Safe-output persistence: nonempty (1 record, 0 malformed; not validation or publication evidence)
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.
Copy a debugging prompt
Paste this into your coding agent:
Debug the agentic workflow "uk-ai-advisory-operational-resilience" failure.
Follow https://raw.githubusercontent.com/github/gh-aw/main/debug.md
Failed run: https://github.com/githubnext/gh-cao/actions/runs/39564461737
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 UK AI Advisory / Resilience · pi · 26.1 AIC · ◷
- expires on Oct 22, 2026, 7:53 AM UTC
- Lenguaje dominante
- JavaScript
- Estrellas
- 8
- Forks
- 5
- Merge medio
- 2 h 50 min
- PR fusionados (30 d)
- 815
Preparar el entorno
- Sin Dockerfile ni archivo de Docker Compose
- Sin plantilla de pull request
- Leer la guía de contribución
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.
Más de githubnext/gh-cao
-
repo-assist repo-assist:issue-triage
Dificultad 2/5 1-3 horas Aptitud para principiantes 70/100
githubnext/gh-cao#20041 ·
Los mantenedores suelen responder en 1 día
-
agentic-workflows self-care self-care:pages-health
Dificultad 2/5 1-3 horas Aptitud para principiantes 85/100
githubnext/gh-cao#20028 ·
Los mantenedores suelen responder en 1 día
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 70/100
githubnext/gh-cao#19959 ·
Los mantenedores suelen responder en 1 día
-
agentic-workflows self-care self-care:reactive-ui-expert
Dificultad 2/5 Menos de una hora Aptitud para principiantes 85/100
githubnext/gh-cao#19923 ·
Los mantenedores suelen responder en 1 día
-
repo-assist repo-assist:issue-triage
Dificultad 2/5 1-3 horas Aptitud para principiantes 65/100
githubnext/gh-cao#19883 ·
Los mantenedores suelen responder en 1 día
Todos los issues de githubnext/gh-cao
Issues similares
-
Site Suggestion: bullseyeAbierto
Dificultad 1/5 Menos de una hora Aptitud para principiantes 65/100
Los mantenedores suelen responder en 1 día
-
Add toro4n to the data modeling toolsPosiblemente ocupada @henriklantzhedstrom-prog la tomó hoy. Abierto
Dificultad 1/5 Menos de una hora Aptitud para principiantes 62/100
neo4j/docs-getting-started#546 ·
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 65/100
Los mantenedores suelen responder en 25 días
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 70/100
libnativeapi/nativeapi#21 ·
-
area: core complexity: easy impact: medium
Dificultad 2/5 1-3 horas Aptitud para principiantes 86/100
ueberdosis/tiptap#8668 ·
Los mantenedores suelen responder en 1 día