[aw] Daily Code Metrics and Trend Tracking Agent: failed before agent execution started
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
- 45/100
Línea de trabajo
Start with the .github/workflows/daily-code-metrics.md workflow and inspect failed step Install AWF binary in run 43279702617; run gh aw audit 43279702617 for runtime evidence. Compare the startup and gateway/setup logs to identify the cause of the agent startup failure. Done when the failure is explained and a targeted fix is verified.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
What happened
Daily Code Metrics and Trend Tracking Agent failed before agent execution started.
View run #43279702617 · 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:
Failure classification: agent_startup_failure
Agent execution state: not_started
The runtime recorded that agent execution never started. Inspect the failed startup step and gateway/setup logs in the linked run; missing safe outputs are downstream, not evidence that the agent omitted a terminal output.
This run needs a follow-up: the agent reported that it could not finish. A successful agent job only confirms a clean process exit, not that the requested work was completed. Treat the agent-declared reason as a lead, not a confirmed root cause; agent diagnostic details are excluded, so compare the note with the runtime evidence below.
For a runtime-focused investigation, run gh aw audit 43279702617.
Failure Diagnostics
Agent job: agent
Agent job conclusion: failure
Failing step: Install AWF binary
No additional engine error was captured. Check the reported failure signals and linked run for details.
Only runtime metadata is shown; agent-generated text is excluded.
Copy a debugging prompt
Paste this into your coding agent:
Debug the agentic workflow "daily-code-metrics" failure.
Follow https://raw.githubusercontent.com/github/gh-aw/main/debug.md
Failed run: https://github.com/github/gh-aw/actions/runs/43279702617
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 Code Metrics and Trend Tracking Agent · ◷
- expires on Nov 13, 2026, 6:29 AM UTC
- Lenguaje dominante
- Go
- Estrellas
- 5.6k
- Forks
- 625
- Merge medio
- 5 h 39 min
- PR fusionados (30 d)
- 796
Preparar el entorno
Inicia el contenedor de desarrollo del proyecto en tu navegador, con tu propia cuenta de GitHub.
- Incluye un Dockerfile o un 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 github/gh-aw
-
agent-research cookie
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
Los mantenedores suelen responder en 1 día
-
automation observability optimization traces
Dificultad 2/5 1-3 horas Aptitud para principiantes 74/100
Los mantenedores suelen responder en 1 día
-
Protected session capture: `Parse agent logs for step summary` fails when the engine step never ranAbiertoai-inspected
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
Los mantenedores suelen responder en 1 día
-
awf community
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
github/gh-aw#76385 · 3 comentarios ·
Los mantenedores suelen responder en 1 día
-
automation cli-tools testing
Dificultad 1/5 1-3 horas Aptitud para principiantes 68/100
Los mantenedores suelen responder en 1 día
Todos los issues de github/gh-aw
Issues similares
-
type:bug
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
nightgauge/nightgauge#3266 ·
Los mantenedores suelen responder en 1 día
-
area: ai-models priority: normal
Dificultad 2/5 1-3 horas Aptitud para principiantes 68/100
Los mantenedores suelen responder en 1 día
-
Dificultad 1/5 Menos de una hora Aptitud para principiantes 85/100
prime-radiant-inc/evener#6325 ·
Los mantenedores suelen responder en 1 día
-
team:library-maintainers
Dificultad 2/5 1-3 horas Aptitud para principiantes 82/100
padok-team/burrito#1208 · 1 comentario ·
Los mantenedores suelen responder en 1 día
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 62/100
bazel-contrib/rules_go#4784 · 1 comentario ·
Los mantenedores suelen responder en 1 día