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.
npx agentmods add skills/altimateai/altimate-code/dbt-schema-verifynpx skills add AltimateAI/altimate-code --skill dbt-schema-verifygit clone --depth 1 https://github.com/AltimateAI/altimate-codeWrote 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/altimateai/altimate-code/dbt-schema-verify)<a href="https://agentmods.dev/skills/altimateai/altimate-code/dbt-schema-verify"><img src="https://agentmods.dev/badge/skills/altimateai/altimate-code/dbt-schema-verify.svg" alt="Measured on agentmods" 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 | $0.00216 | $0.01681 |
| Opus 5 | $0.00108 | $0.00840 |
| Sonnet 5 | $0.00043 | $0.00336 |
| Haiku 4.5 | $0.00022 | $0.00168 |
Grade A, and why
dbt-schema-verify 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt schema-verify
When to invoke this skill — every time
Run altimate-dbt schema-verify --model <name> before declaring any of the
following tasks complete:
- Creating a new dbt model that has (or will have) a
schema.ymlentry - Modifying an existing model whose
schema.ymldeclares columns - Refactoring a CTE into its own intermediate model
- Renaming columns or changing their order
- Changing materialization config in a way that re-creates the table
- Any task that says "match the schema", "produce these columns", "the
output should have columns X, Y, Z", or references a
_models.yml - Any task with
AUTO_*_equalityorAUTO_*_existencetests on a model
If the task touched N models, run schema-verify on all N of them, not
just the last one. A build is not a verify.
How to run it
altimate-dbt schema-verify --model <name>
Note: altimate-dbt build --model <name> already runs schema-verify
automatically after a successful build and includes the verdict in its
response under a schema_verify field. You will see the diff in the same
result that reported the build outcome — read it there before deciding
the task is done. If you need to re-check after editing, call
schema-verify directly.
Returns a structured JSON result:
{
"model": "int_asana__project_user_agg",
"verdict": "mismatch",
"expected_columns": ["project_id", "users", "number_of_users_involved"],
"actual_columns": ["project_id", "users"],
"columns_extra": [],
"columns_missing": ["number_of_users_involved"],
"columns_reordered": [],
"type_mismatches": []
}
How to read the verdict
| verdict | meaning | what to do |
|---|---|---|
match |
actual columns match the spec exactly (case-insensitive on names) | DONE — proceed |
mismatch |
one or more of columns_extra, columns_missing, columns_reordered, type_mismatches is non-empty |
NOT DONE — read the diff, fix the model SQL, rebuild, re-run schema-verify |
no-spec |
the model has no columns declared in schema.yml |
DONE for shape-fidelity purposes — no contract to verify against |
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.
- 4d ago First seen · 147 lines · 216 tokens per session scan A 1ba97178e061
dbt-schema-verify is a skill published in the GitHub repository AltimateAI/altimate-code (803 stars, last pushed 4d ago), licensed MIT. It adds 216 tokens to every session and 1,681 once invoked, about $0.0011 per session on Opus 5. 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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