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[aw] Rig Skill Integration - DeepSeek Harness finished without a clear failure cause

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Bewertung

Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Anfängerfreundlichkeit
38/100
Issue-Typ
Bug
Klarheit
Muss geklärt werden
Aktivitätsstatus
Aktiv
Tech-Stack
github-actions, yaml
Bereich
ai-infra-agents, devops

Rechercherichtung

Start with .github/workflows/rig-skill-integration-deepseek.md, the linked run, and the debugging guide at raw.githubusercontent.com/github/gh-aw/main/debug.md; the agentic-workflows skill in .github/skills/agentic-workflows/SKILL.md is also an entry point. Focus on why Execute DeepSeek Harness exited before recording a terminal safe output. Done means the failure has an identified cause and the workflow either completes successfully or records a valid, actionable failure.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

agentic-workflows
Workflow Failure

Workflow: Rig Skill Integration - DeepSeek Harness
Branch: main
Run: https://github.com/githubnext/rig/actions/runs/39044256096

[!WARNING]
Task Could Not Be Completed: The workflow recorded a report_incomplete signal: 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/39044256096
Manually invoke the agent

Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.

[!TIP]

Stop reporting this workflow as a failure

To stop a workflow from creating failure issues, set report-failure-as-issue: false in its frontmatter:

safe-outputs:
  report-failure-as-issue: false

Generated from Rig Skill Integration - DeepSeek Harness · ◷

  • expires on Oct 24, 2026, 3:18 PM UTC
Vorherrschende Sprache
TypeScript
Sterne
14
Forks
0
Ø Merge
3 Std. 38 Min.
Gemergte PRs (30 T.)
29

Entwicklungsumgebung

Dieses Projekt bietet weder Dev-Container noch Dockerfile noch Beitragsleitfaden – die Einrichtung liegt bei Ihnen. Beginnen Sie mit der README; die allgemeinen Schritte stehen in unserem Leitfaden für den ersten Beitrag.

Erste Schritte

  1. Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
  3. Forken Sie das Repository und arbeiten Sie in einem Branch.
  4. Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.

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