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/gemini-cli-extensions/cloud-sql-sqlserver/cloud-sql-sqlserver-datanpx skills add gemini-cli-extensions/cloud-sql-sqlserver --skill cloud-sql-sqlserver-datagit clone --depth 1 https://github.com/gemini-cli-extensions/cloud-sql-sqlserverWhat 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 | $0.00040 | $0.00379 |
| Opus 5 | $0.00020 | $0.00189 |
| Sonnet 5 | $0.00008 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
cloud-sql-sqlserver-data 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 2d 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
Usage
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
Bash:
node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell:
node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Scripts
execute_sql
Use this tool to execute SQL.
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| sql | string | The sql to execute. | Yes |
list_tables
Lists detailed schema information (object type, columns, constraints, indexes, triggers, comment) as JSON for user-created tables (ordinary or partitioned). Filters by a comma-separated list of names. If names are omitted, lists all tables in user schemas.
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| table_names | string | Optional: A comma-separated list of table names. If empty, details for all tables will be listed. | No | `` |
| output_format | string | Optional: Use 'simple' for names only or 'detailed' for full info. | No | detailed |
What ships with it
2 files 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.
- 2d ago First seen · 49 lines · 40 tokens per session scan A f6e377b0b93c
cloud-sql-sqlserver-data is a skill published in the GitHub repository gemini-cli-extensions/cloud-sql-sqlserver (7 stars, last pushed 4d ago), licensed Apache-2.0. It adds 40 tokens to every session and 379 once invoked, about $0.0002 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.
Other skills, from other repositories
looker
These skills are designed for data discovery and business intelligence.
looker-dev
These skills are built for LookML developers, data engineers, and administrators who manage the backbone of Looker.
cloud-sql-postgres-health
Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.
cloud-sql-postgres-vectorassist
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
cloud-sql-postgres-data
Use these skills when you need to explore the database structure, discover schema objects like views or stored procedures, and execute custom SQL queries to interact with your data.
cloud-sql-postgres-admin
Use these skills when you need to provision new Cloud SQL instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.