VA

vastai-debug-bundle

Bundles diagnostic info including instance status, logs, and account details for Vast.ai troubleshooting.

Install

mkdir -p .claude/skills/vastai-debug-bundle && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5332" && unzip -o skill.zip -d .claude/skills/vastai-debug-bundle && rm skill.zip

Installs to .claude/skills/vastai-debug-bundle

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Collect Vast.ai debug evidence for support tickets and troubleshooting.
71 charsno explicit “when” trigger
Beginner

Key capabilities

  • →Collect account information and balance status
  • →List all instances with GPU details and SSH connectivity
  • →Retrieve instance logs for troubleshooting
  • →Perform remote GPU diagnostics including nvidia-smi
  • →Verify API connectivity

How it works

It aggregates system-level logs, API status, and remote hardware metrics into a single diagnostic report. It uses SSH to execute commands on the instance to verify driver and memory health.

Inputs & outputs

You give it
Instance ID or API credentials
You get back
Structured diagnostic bundle including logs and GPU status

When to use vastai-debug-bundle

  • →Preparing support tickets
  • →Investigating GPU instance issues
  • →Collecting logs for diagnostics

About this skill

Redacted Vast.ai Support Manifest

Overview

A useful bundle binds exact resource IDs, CLI version, timestamps, states, and redacted errors. It does not archive the entire environment, shell history, account profile, or secret-bearing generated curl commands.

Prerequisites

  • Incident window, affected instance/endpoint/workergroup IDs, and symptom
  • Evidence classification, retention period, support case owner, and approved destination
  • Redaction rules for API keys, URLs, emails, storage credentials, model inputs, and customer data

Instructions

Step 1: Freeze the collection plan

List each command, field, time range, and justification before reading data. Exclude environment dumps and home-directory archives.

Step 2: Collect control-plane facts

Record CLI version, redacted show user, structured instance or Serverless state, offer/template identity, and timestamps.

Step 3: Collect bounded logs

Retrieve only the relevant container, endpoint, or workergroup log window and filter known credential and payload fields.

Step 4: Capture request diagnostics safely

Use --explain or equivalent call metadata only when the output is reviewed for bearer tokens and query credentials before storage.

Step 5: Redact and inventory

Replace sensitive values consistently, retain resource IDs needed by support, and create file hashes plus a redaction attestation.

Step 6: Validate the bundle

Have a second pass search for key patterns, private keys, URLs with credentials, emails, and workload secrets before sharing.

Authentication

Prefer a read-only scoped key. Never store VAST_API_KEY, key-file contents, SSH private material, webhook secrets, cloud credentials, or Authorization headers in the bundle.

Tool Discipline

Use Read and Grep to inspect manifests, configuration, provider output, and existing tests before proposing a mutation. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not create, update, destroy, or fund Vast.ai resources without explicit operator approval.

Output

  • Collection scope and command manifest
  • Redacted evidence files with hashes and time bounds
  • Redaction attestation, retention date, and support handoff receipt

Return incident window, resource IDs, collected fields, excluded classes, file hashes, redaction result, and recipient.

Examples

A support manifest contains CLI version, one offline instance record, the last 100 redacted log lines, template hash, timestamps, and checksums; it excludes environment variables and generated Authorization headers.

Error Handling

FailureResponse
A secret detector firesQuarantine the bundle, rotate exposed credentials if necessary, and rebuild from source.
Requested data exceeds the incident windowExclude it unless the case owner documents a need.
Resource has already been destroyedUse retained external receipts; do not fabricate live state.
Support asks for raw credentialsRefuse and provide a redacted reproduction instead.

Resources

When not to use it

  • →Automated instance recovery without manual intervention

Prerequisites

Vast.ai CLI installed and authenticatedAccess to the problematic instance

Limitations

  • →Instance must be running to collect remote GPU diagnostics
  • →Requires SSH access to the instance

How it compares

This method automates the collection of disparate diagnostic data points into a single bundle, replacing manual inspection of individual logs and status commands.

Compared to similar skills

vastai-debug-bundle side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
vastai-debug-bundle (this skill)12moReviewBeginner
n8n-expression-syntax65moNo flagsBeginner
python-repl66moReviewBeginner
n8n-validation-expert65moNo flagsIntermediate

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