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.
git clone --depth 1 https://github.com/sfc-gh-cconner/support-rules-mcpWrote 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/rules/sfc-gh-cconner/support-rules-mcp/snowpark-python)<a href="https://agentmods.dev/rules/sfc-gh-cconner/support-rules-mcp/snowpark-python"><img src="https://agentmods.dev/badge/rules/sfc-gh-cconner/support-rules-mcp/snowpark-python/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/rules/sfc-gh-cconner/support-rules-mcp/snowpark-python"><img src="https://agentmods.dev/badge/rules/sfc-gh-cconner/support-rules-mcp/snowpark-python.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 | $0.01805 | $0.01805 |
| Opus 5.5 | $0.00722 | $0.00722 |
| Sonnet 5.5 | $0.00361 | $0.00361 |
| Haiku 4.5 | $0.00180 | $0.00180 |
Grade A, and why
snowpark-python 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 1mo 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snowpark Python Investigation Guide
PURPOSE: Snowpark Python patterns for data pipelines, stored procedures, UDFs, and DataFrame operations.
Access Method: GitHub MCP API tools
Repository: snowflakedb/snowpark-python
🔍 Quick Investigation Patterns
DataFrame Operations
# Search for DataFrame implementation
mcp_github_search_code(
query='class DataFrame repo:snowflakedb/snowpark-python'
)
# Get core DataFrame class
mcp_github_get_file_contents(
owner="snowflakedb", repo="snowpark-python",
path="src/snowflake/snowpark/dataframe.py"
)
# Search for specific operations
mcp_github_search_code(
query='select OR filter OR join repo:snowflakedb/snowpark-python path:src/snowflake/snowpark'
)
Session Management
# Get Session implementation
mcp_github_get_file_contents(
owner="snowflakedb", repo="snowpark-python",
path="src/snowflake/snowpark/session.py"
)
# Search for session creation patterns
mcp_github_search_code(
query='SessionBuilder OR create_session repo:snowflakedb/snowpark-python'
)
# Connection handling
mcp_github_search_code(
query='_conn OR _connection repo:snowflakedb/snowpark-python'
)
UDF and Stored Procedures
# Search for UDF registration
mcp_github_search_code(
query='register_udf OR udf decorator repo:snowflakedb/snowpark-python'
)
# Get UDF implementation
mcp_github_get_file_contents(
owner="snowflakedb", repo="snowpark-python",
path="src/snowflake/snowpark/udf.py"
)
# Stored procedure handling
mcp_github_search_code(
query='register_sproc OR stored_procedure repo:snowflakedb/snowpark-python'
)
# UDTF implementation
mcp_github_search_code(
query='UDTF OR udtf_registration repo:snowflakedb/snowpark-python'
)
Package Management
# Search for package handling
mcp_github_search_code(
query='add_packages OR add_requirements repo:snowflakedb/snowpark-python'
)
# Conda/pip integration
mcp_github_search_code(
query='conda_channel OR pip_install repo:snowflakedb/snowpark-python'
)
# Import handling
mcp_github_search_code(
query='add_import OR import_as repo:snowflakedb/snowpark-python'
)
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.
- 1mo ago First seen · 306 lines · 1,805 tokens per session scan A 34afa5e35771
snowpark-python is a cursor rule published in the GitHub repository sfc-gh-cconner/support-rules-mcp (0 stars, last pushed 1y ago), licensed Apache-2.0. It adds 1,805 tokens to every session, about $0.0072 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.
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