Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/dbt-labs/dbt-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/dbt-labs/dbt-agent-skills/dbt)<a href="https://agentmods.dev/plugins/dbt-labs/dbt-agent-skills/dbt"><img src="https://agentmods.dev/badge/plugins/dbt-labs/dbt-agent-skills/dbt/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/dbt-labs/dbt-agent-skills/dbt"><img src="https://agentmods.dev/badge/plugins/dbt-labs/dbt-agent-skills/dbt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
dbt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "dbt",
"description": "Skills for analytics engineering with dbt — building models, writing tests, querying the semantic layer, troubleshooting jobs, and more.",
"version": "1.6.0",
"author": {
"name": "dbt Labs"
},
"license": "Apache-2.0",
"homepage": "https://docs.getdbt.com/",
"repository": "https://github.com/dbt-labs/dbt-agent-skills",
"keywords": ["dbt", "analytics-engineering", "data-modeling", "semantic-layer", "testing"]
}
What it installs
The manifest is a name and a version. 12 skills travel with it, and installing the plugin installs all of them — 942 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill adding-dbt-unit-test A 44 tokens
- Skill querying-the-dbt-information-schema A 117 tokens
- Skill working-with-dbt-mesh A 142 tokens
- Skill building-dbt-semantic-layer A 62 tokens
- Skill using-dbt-state A 101 tokens
- Skill answering-natural-language-questions-with-dbt A 84 tokens
- Skill maintaining-dbt-documentation A 77 tokens
- Skill running-dbt-commands A 62 tokens
- Skill fetching-dbt-docs A 54 tokens
- Skill using-dbt-for-analytics-engineering A 67 tokens
- Skill configuring-dbt-mcp-server B 57 tokens
- Skill troubleshooting-dbt-job-errors B 75 tokens
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 23d ago Changed 1385249be967
- 1mo ago Changed a96058389305
- 1mo ago First seen · 13 lines scan A fb571a8dac68
dbt is a plugin published in the GitHub repository dbt-labs/dbt-agent-skills (746 stars, last pushed 2d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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