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/reproductions)<a href="https://agentmods.dev/rules/sfc-gh-cconner/support-rules-mcp/reproductions"><img src="https://agentmods.dev/badge/rules/sfc-gh-cconner/support-rules-mcp/reproductions/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/reproductions"><img src="https://agentmods.dev/badge/rules/sfc-gh-cconner/support-rules-mcp/reproductions.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 | $0.00598 | $0.00598 |
| Opus 5 | $0.00299 | $0.00299 |
| Sonnet 5 | $0.00120 | $0.00120 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
reproductions 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 8d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reproduction Building - Complete Ruleset
PURPOSE: Complete workflow for creating minimal, parameterized reproductions with proper documentation, security, and template standards.
Meta-Rule: This combines core Snowflake knowledge, code quality guidance, and reproduction patterns.
📦 Included Rules
This meta-rule includes:
- ✅ Core: Source code access (GitHub MCP)
- ✅ Core: Documentation access (Snowflake Docs MCP)
- ✅ Core: Code quality & examples (Context7 MCP)
- ✅ Workflow: Reproduction building guide
@include core/01-github-mcp.mdc @include core/02-docs-mcp.mdc @include core/03-code-quality-mcp.mdc @include workflows/reproductions.mdc
🎯 Quick Reference
Reproduction Flow
- Understand Issue → Gather details and expected behavior
- Study Implementation → Find source code
- Get Examples → Context7 for usage patterns
- Build Minimal Repro → Self-contained, runnable code
- Verify Behavior → Test thoroughly
- Document → Complete explanation
- Provide Fix/Workaround → Solution or temporary fix
Key Principles
- Keep it minimal and focused
- Make it self-contained and runnable
- Use environment variables for credentials
- Include clear documentation
- Provide workarounds when possible
- Reference source code explicitly
Code Example Resources
# Get connector examples
mcp_context7_get-library-docs(
context7CompatibleLibraryID="/snowflakedb/snowflake-connector-python",
topic="connection authentication",
tokens=2000
)
# Get Snowpark examples
mcp_context7_get-library-docs(
context7CompatibleLibraryID="/snowflakedb/snowpark-python",
topic="<feature> usage",
tokens=2000
)
Source Code Investigation
# Find feature implementation
mcp_github_search_code(
query='<FeatureName> repo:snowflakedb/<connector-repo>'
)
# Get file contents
mcp_github_get_file_contents(
owner="snowflakedb",
repo="<connector-repo>",
path="<path-to-file>"
)
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.
- 8d ago First seen · 99 lines · 598 tokens per session scan A 6aae041535e3
reproductions is a cursor rule published in the GitHub repository sfc-gh-cconner/support-rules-mcp (0 stars, last pushed 11mo ago), licensed Apache-2.0. It adds 598 tokens to every session, about $0.0030 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 2026-08-31.
Other cursor rules, from other repositories
e2e-testing
E2E Flow Tests setup and debugging guide.
hatch3r-dynamic-stack-verification
Runtime-evidence gates for stacks with no static type layer (plain-JS Vue, dynamic persistence) — smoke-mount changed components, dormant-collection-read ratchet, runtime smoke evidence on module-boundary changes; a green lint+build+mock-suite proves a layer, not the system.
debug-issue
When the user reports a bug, an error, or unexpected behavior. Enforces four structured phases — reproduction, failing test, root cause isolation, fix and verify — to stop guess-and-check loops.
系统化调试
A step-by-step method for investigating bugs, failed tests, and unexpected behaviour. It provides a structured way to narrow down the cause instead of guessing.
debugging-and-testing-rules
description: Specifies practices for debugging and testing, including logging, unit tests, and ensuring all tests pass. globs: /.
debugging-and-testing-rules
Specifies practices for debugging and testing, including logging, unit tests, and ensuring all tests pass.