Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/skills/miptah21/skills/cosmos-dbt-fusion)<a href="https://agentmods.dev/skills/miptah21/skills/cosmos-dbt-fusion"><img src="https://agentmods.dev/badge/skills/miptah21/skills/cosmos-dbt-fusion/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/skills/miptah21/skills/cosmos-dbt-fusion"><img src="https://agentmods.dev/badge/skills/miptah21/skills/cosmos-dbt-fusion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.01763 |
| Opus 5 | $0.00037 | $0.00881 |
| Sonnet 5 | $0.00015 | $0.00353 |
| Haiku 4.5 | $0.00007 | $0.00176 |
Grade C, and why
cosmos-dbt-fusion scanned grade C with 2 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 11d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
RUN curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
RUN apt-get update && apt-get install -y curl This is a copy
97% identical to cosmos-dbt-fusion — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cosmos + dbt Fusion: Implementation Checklist
Execute steps in order. This skill covers Fusion-specific constraints only.
Version note: dbt Fusion support was introduced in Cosmos 1.11.0. Requires Cosmos ≥1.11.
Reference: See reference/cosmos-config.md for ProfileConfig, operator_args, and Airflow 3 compatibility details.
Before starting, confirm: (1) dbt engine = Fusion (not Core → use cosmos-dbt-core), (2) warehouse = Snowflake, Databricks, Bigquery and Redshift only.
Fusion-Specific Constraints
| Constraint | Details |
|---|---|
| No async | AIRFLOW_ASYNC not supported |
| No virtualenv | Fusion is a binary, not a Python package |
| Warehouse support | Snowflake, Databricks, Bigquery and Redshift support while in preview |
1. Confirm Cosmos Version
CRITICAL: Cosmos 1.11.0 introduced dbt Fusion compatibility.
# Check installed version
pip show astronomer-cosmos
# Install/upgrade if needed
pip install "astronomer-cosmos>=1.11.0"
Validate: pip show astronomer-cosmos reports version ≥ 1.11.0
2. Install the dbt Fusion Binary (REQUIRED)
dbt Fusion is NOT bundled with Cosmos or dbt Core. Install it into the Airflow runtime/image.
Determine where to install the Fusion binary (Dockerfile / base image / runtime).
Example Dockerfile Install
USER root
RUN apt-get update && apt-get install -y curl
ENV SHELL=/bin/bash
RUN curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update
USER astro
Common Install Paths
| Environment | Typical path |
|---|---|
| Astro Runtime | /home/astro/.local/bin/dbt |
| System-wide | /usr/local/bin/dbt |
Validate: The dbt binary exists at the chosen path and dbt --version succeeds.
3. Choose Parsing Strategy (RenderConfig)
Parsing strategy is the same as dbt Core. Pick ONE:
| Load mode | When to use | Required inputs |
|---|---|---|
dbt_manifest |
Large projects; fastest parsing | ProjectConfig.manifest_path |
dbt_ls |
Complex selectors; need dbt-native selection | Fusion binary accessible to scheduler |
automatic |
Simple setups; let Cosmos pick | (none) |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 251 lines · 74 tokens per session scan C 6e4f7ff71bbe
cosmos-dbt-fusion is a skill published in the GitHub repository miptah21/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 1,763 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 97% identical to cosmos-dbt-fusion, differing in 2 lines, and is treated as a copy.
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