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status

Check dbt manifest.json and run_results.json presence and age in target paths.

Updated Dec 29, 2025
Search Tags:#dbt#artifacts#manifest#status#readiness
One-click install
npx skills add https://github.com/yu-iskw/dbt-artifacts-parser-ts --skill status-yu-iskw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: status
Source: https://github.com/yu-iskw/dbt-artifacts-parser-ts/tree/main/plugins/dbt-tools-cli/skills/status
Command: npx skills add https://github.com/yu-iskw/dbt-artifacts-parser-ts --skill status-yu-iskw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Quickly determine whether dbt artifact files exist for a target directory and whether they are up to date, so you can decide if analysis can proceed.

Core Features & Use Cases

  • Check for the presence of manifest.json and run_results.json under a given target path.
  • Compute artifact age and freshness to determine readiness for analysis.
  • Provide a concise readiness signal to guide subsequent dbt tooling commands.

Quick Start

Run dbt-tools status --dbt-target ./target --json to receive a machine-readable snapshot of artifact presence and freshness.

Frequently Asked Questions about status

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if dbt artifact files like manifest.json are present and fresh?▼

To check dbt artifact freshness, the status command identifies whether manifest.json and run_results.json exist under a given target path and computes their age to signal readiness for analysis.

Can I check dbt artifacts readiness for remote storage prefixes like s3 or gs?▼

You can check dbt artifacts readiness for remote storage by applying the status command to s3:// or gs:// prefixes, evaluating the presence and age of manifest and run_results files without requiring a local directory.

Do I need dbt-tools installed to verify manifest and run_results freshness?▼

You need dbt-tools on your PATH to verify manifest and run_results freshness, along with a valid local target directory or remote storage prefix to evaluate artifact readiness successfully.

What is the best way to get a machine-readable snapshot of dbt artifact readiness?▼

The best way to get a machine-readable snapshot of dbt artifact readiness is running dbt-tools status with the --json flag, which outputs presence and freshness data for manifest and run_results files.

Why does my dbt analysis fail if target artifacts are outdated?▼

dbt analysis may fail or produce stale results if target artifacts are outdated, because downstream tooling relies on the current presence and freshness of manifest.json and run_results.json to process accurately.

When should I not use an automated status check for dbt artifacts?▼

You should not use an automated status check for dbt artifacts when dbt-tools is not on your PATH or when no valid local target directory or remote prefix exists, as the readiness evaluation requires these inputs.

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