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 instructions/quiltdata/quilt-mcp-server/agents-mdgit clone --depth 1 https://github.com/quiltdata/quilt-mcp-serverWrote 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/instructions/quiltdata/quilt-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/quiltdata/quilt-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/quiltdata/quilt-mcp-server/agents-md.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 | $0.01139 | $0.01139 |
| Opus 5 | $0.00570 | $0.00570 |
| Sonnet 5 | $0.00228 | $0.00228 |
| Haiku 4.5 | $0.00114 | $0.00114 |
Grade A, and why
quilt-mcp-server AGENTS.md 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidelines: Quilt MCP Server
Essential Instructions
Core Principle: Execute, Don't Explain
Execute tools to retrieve data. Never provide code examples when MCP tools can do the work.
Quick Reference
User asks → Agent does:
- "What's in these files?" →
bucket_objects_list+bucket_object_text→ Show content - "Query/analyze data" → Read + Parse + Analyze → Show results
- "Create visualization" → Read + Generate viz + Upload + Package → Show URL
- "Make a package" → Organize + Create → Show catalog link
- "Explore bucket" → List + Sample + Summarize → Show overview
Key Rules
- Execute immediately - Use tools, don't suggest them
- Complete workflows - Finish end-to-end, don't leave partial work
- Show actual data - Return real results, not theoretical examples
- Use
uv run- Always prefix Python commands:uv run pytest,uv run python script.py
What NOT to Do
- ❌ Provide Python/SQL code for users to run
- ❌ Say "You could use X tool..." instead of using it
- ❌ Ask permission for standard read operations
- ❌ Give incomplete workflows requiring user action
- ❌ Use bare
pythonorpytest(alwaysuv run python,uv run pytest)
Specialized File Formats (H5AD, Parquet, BAM, VCF)
- Acknowledge format and get metadata with
bucket_object_info() - Explain limitations clearly
- Offer actionable alternatives (presigned URLs, related CSV files, package creation)
Error Handling
- Try operation → If fails, diagnose with related tools → Offer specific alternatives
- For permissions errors: check with
bucket_access_check(), suggest concrete fixes - Show progress for long operations
Project Context
Critical: Python Execution
Always use uv run for Python scripts and tests:
✅ uv run pytest tests/unit/
✅ uv run python scripts/test.py
❌ pytest tests/unit/
❌ python scripts/test.py
Development Commands
Essential make targets:
# Testing (run these after code changes)
make test # Unit tests only (fast, default)
make test-all # All tests (unit, func, e2e, scripts, mcpb)
make lint # Format code + type checking (run before commit)
# Development server
make run # Start local MCP server
make run-inspector # Launch MCP Inspector UI
# Coverage & validation
make coverage # Generate coverage report
make test-func # Func tests (mocked)
# Build & package
make mcpb # Create MCPB package
make docker-build # Build Docker image (for test-mcp-docker)
# Cleanup
make clean # Remove all build artifacts
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 · 144 lines · 1,139 tokens per session scan A f8484e646cbf
quilt-mcp-server AGENTS.md is an instructions file published in the GitHub repository quiltdata/quilt-mcp-server (3 stars, last pushed 11d ago), licensed Apache-2.0. It adds 1,139 tokens to every session, about $0.0057 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.
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