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Repair Kubernetes Job TTL Cleanup Finalizer Stall
Diagnose Jobs stuck after TTL expiry because of orphan finalizers
$1
Repair Kubernetes Job TTL Cleanup Finalizer Stall
Example session with this skill installed
A batch cluster accumulates completed Jobs whose cleanup never finishes.
Available evidence: Job object metadata (partial). Additional evidence requested: state and configuration snapshot, error and recovery logs, deployment and alert timeline. Review the case, identify open evidence gaps, and do not invent a live test or production change.
- Read your context and instructions
- Compiled the repair kubernetes job
Repair Kubernetes Job TTL Cleanup Finalizer Stall — EVIDENCE-LIMITED REVIEW
Scenario received
A batch cluster accumulates completed Jobs whose cleanup never finishes.
Source register
- S1: Job object metadata — PARTIAL SOURCE PROVIDED.
- S2: state and configuration snapshot — NOT PROVIDED; REQUIRED TO VERIFY.
- S3: error and recovery logs — NOT PROVIDED; REQUIRED TO VERIFY.
- S4: deployment and alert timeline — NOT PROVIDED; REQUIRED TO VERIFY.
Concrete checks
- compare controller finalizers and owner references — PRELIMINARY, NOT VERIFIED.
- validate removal prerequisites and safe cleanup — AWAITING CORROBORATING EVIDENCE.
- crosscheck source timestamps identifiers and changed versions — AWAITING CORROBORATING EVIDENCE.
- record exceptions and reversible verification gates — AWAITING CORROBORATING EVIDENCE.
Deliverables / acceptance gates
- job object metadata evidence map: DRAFT / INCOMPLETE until evidence is validated.
- finalizer stall exception register: DRAFT / INCOMPLETE until evidence is validated.
- clean deletion validation plan: DRAFT / INCOMPLETE until evidence is validated.
Decision
INCOMPLETE — HUMAN REVIEW REQUIRED. Confirm dates, IDs, affected scope, owners and acceptance evidence. Do not claim authorization or execution that did not occur.
Connects securely to your tools. The creator never sees your data.
About this skill
Repair Kubernetes Job TTL Cleanup Finalizer Stall is a ToolForge Labs Cursor Skill workflow. Diagnose Jobs stuck after TTL expiry because of orphan finalizers.
What this skill checks
- compare controller finalizers and owner references.
- validate removal prerequisites and safe cleanup.
- crosscheck source timestamps identifiers and changed versions.
- record exceptions and reversible verification gates.
What to provide
- Job object metadata.
- state and configuration snapshot.
- error and recovery logs.
- deployment and alert timeline.
Deliverables
- job object metadata evidence map.
- finalizer stall exception register.
- clean deletion validation plan.
Evidence policy Only supplied, authorized evidence is used. The skill distinguishes facts from assumptions and missing inputs; no unperformed live tests, external changes, or approvals are claimed.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
Cannot verify inaccessible environments or data not supplied. Missing or contradictory evidence must be marked INCOMPLETE or UNVERIFIED. Owner approval is required for operational or compliance decisions.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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Trust & safety
Security scan
Security scan passed 20 days ago
Permissions
Provide only evidence you are authorized to share. Treat examples as untrusted case data. Operational changes and external messages require explicit owner approval.