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 skills add christianclaudio/mcp-server-snowflake --skill snowflake-mcpgit clone --depth 1 https://github.com/christianclaudio/mcp-server-snowflakeWrote 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/christianclaudio/mcp-server-snowflake/snowflake-mcp)<a href="https://agentmods.dev/skills/christianclaudio/mcp-server-snowflake/snowflake-mcp"><img src="https://agentmods.dev/badge/skills/christianclaudio/mcp-server-snowflake/snowflake-mcp/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/christianclaudio/mcp-server-snowflake/snowflake-mcp"><img src="https://agentmods.dev/badge/skills/christianclaudio/mcp-server-snowflake/snowflake-mcp.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 | $0.00045 | $0.01406 |
| Opus 5.5 | $0.00018 | $0.00562 |
| Sonnet 5.5 | $0.00009 | $0.00281 |
| Haiku 4.5 | $0.00005 | $0.00141 |
Grade A, and why
snowflake-mcp 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 24d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snowflake Data Cloud MCP Server (mcp-server-snowflake) Agent Skill
This skill provides expert operating guidelines, architectural recipes, and safety gates for AI agents orchestrating data workloads, schema management, virtual warehouses, streaming pipelines, and Cortex AI via mcp-server-snowflake.
🎯 Core Agent Recipes & Playbooks
1. Zero-Downtime Table Migration & Clones
- Step 1: Inspect Current Structure — Call
recipes_inspect_table_with_sample(table_name=..., sample_rows=5)to verify columns, types, and data distribution. - Step 2: Instant Zero-Copy Backup — Invoke
recipes_clone_table_recipe(source_table=..., target_table="..._BACKUP_YYYYMMDD"). Zero-copy clones create metadata pointers instantly without storage overhead. - Step 3: Apply Schema / DML Changes — Use
queries_execute_dml(statement=...)to alter table structures or populate new columns. - Step 4: Verify Data Profile — Run
recipes_profile_table(table_name=...)to validate row counts and column completeness.
2. High-Performance Query Scaling
- Cost-Optimized Heavy Queries — Invoke
recipes_warehouse_scale_and_execute(warehouse_name="COMPUTE_WH", target_size="LARGE", query="...", restore_previous_size=True). This scales compute up for the heavy workload and restores the previous size afterwards. It does not suspend the warehouse. To stop credit consumption, callwarehouses_suspend_warehousewhen the work is complete. - Query Optimization — Before running unknown queries, call
queries_get_query_plan(query=...)to inspect scan predicates and join pruning. After execution, analyzequeries_get_query_operator_stats(query_id=...).
3. Continuous Data Pipelines (CDC & Tasks)
- Change Data Capture — Create a stream via
streams_create_stream(stream_name=..., on_table=...). Read incremental delta changes withstreams_read_stream_changes(stream_name=...). - Scheduled Transformations — Deploy serverless or warehouse-backed tasks with
tasks_create_task(task_name=..., sql_statement=..., schedule="15 MINUTE"). Resume the task withtasks_resume_task(task_name=...).
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.
- 24d ago Changed 9f7cc3ffb123
- 1mo ago Changed · +6 lines 8627f5f16d75
- 1mo ago First seen · 65 lines · 45 tokens per session scan A 379a16972725
snowflake-mcp is a skill published in the GitHub repository christianclaudio/mcp-server-snowflake (1 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 1,406 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
map
Build and commit a Cortex function knowledge graph — maps structural dependencies and domain intent relationships across all AI functions in the project. Supports --reduce (default on) for transitive reduction of the dependency graph.
context-add
Guided wizard to capture or update organizational Snowflake/Cortex standards into .cocoplus/context/ .md. Presents a menu of 6 standard types, collects answers via multi-turn dialogue, and commits the file.
cocolean
CocoLean — minimum viable Cortex surface discipline. Pre-build decision ladder and intensity mode management. Invoke with $lean, $lean lite, $lean full, or $lean ultra.
test
Enter the Test phase of CocoBrew. Reads spec.md test requirements, generates test cases, executes SQL validation and quality checks, records results in test.md. Can be re-run without full rebuild. Requires Build phase completion.
map-diff
Analyze the impact of staged git changes against the committed Cortex function knowledge graph — shows which downstream functions are affected before you commit.
map-explain
Produce a natural-language explanation of a specific Cortex function, business capability, or schema element from the committed knowledge graph.