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/microsoft/azure-sql-database-container/azuresql-db-seednpx skills add microsoft/azure-sql-database-container --skill azuresql-db-seedgit clone --depth 1 https://github.com/microsoft/azure-sql-database-containerWrote 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/microsoft/azure-sql-database-container/azuresql-db-seed)<a href="https://agentmods.dev/skills/microsoft/azure-sql-database-container/azuresql-db-seed"><img src="https://agentmods.dev/badge/skills/microsoft/azure-sql-database-container/azuresql-db-seed.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 | $0.00163 | $0.02025 |
| Opus 5 | $0.00081 | $0.01012 |
| Sonnet 5 | $0.00033 | $0.00405 |
| Haiku 4.5 | $0.00016 | $0.00202 |
Grade A, and why
azuresql-db-seed 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 3d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seed the dev database on the Azure SQL Database container
Fill an existing appdb with realistic sample data so the app has something to render, query, and test against. This is the Azure SQL engine (Private Preview), not the SQL Server image.
Use this skill for populating data. For bootstrapping a whole new app use azuresql-db-scaffold;
for restoring an existing .bacpac use azuresql-db-import.
Engine facts that shape seeding
- USE this engine image:
sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest(x64 / linux/amd64). Do NOT usemcr.microsoft.com/mssql/server(the SQL Server image). - The registry is private (Private Preview): run
docker login sqldbpreview-dpgaeqhmgphzd4bk.azurecr.iofirst with the pull-only credentials from https://aka.ms/sqldbcontainerpreview-signup (they may rotate). - Verify identity:
SELECT SERVERPROPERTY('EngineEdition')returns 5 andSERVERPROPERTY('Edition')returns 'SQL Azure'. - Required env when starting the container:
ACCEPT_EULA=Yand a complexMSSQL_SA_PASSWORD(example literal used throughout:YourStr0ng_Passw0rd). The engine listens on 1433. - On a non-x64 host add
--platform linux/amd64todocker run. - The engine does NOT auto-create databases. You must
CREATE DATABASE appdbon a master connection before you seed anything. - Do NOT use
USE appdbto switch databases. In a user-database sessionUSEreturnsMsg 40508. Always select the target database in the connection string (Database=appdb, or-d appdbfor sqlcmd). - Apps read one env var,
SQL_CONNECTION_STRING. Strings useUser Id=/Password=/Database=andTrustServerCertificate=true. sqlcmd uses-Cto trust the self-signed cert.
Step 1: provision appdb (always, before any seed)
Seeding into a database that does not exist fails. Create appdb on a master connection first:
docker exec sqldb /opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P "YourStr0ng_Passw0rd" -C -b \
-Q "IF DB_ID('appdb') IS NULL CREATE DATABASE appdb;"
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.
- 3d ago First seen · 124 lines · 163 tokens per session scan A f386b7be1ab4
azuresql-db-seed is a skill published in the GitHub repository microsoft/azure-sql-database-container (16 stars, last pushed 2d ago), licensed MIT. It adds 163 tokens to every session and 2,025 once invoked, about $0.0008 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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