spatial-data-validation

A checking workflow for spatial transcriptomics data, which records gene activity together with tissue locations. It examines SpatialData, Zarr, and AnnData files before analysis.

In plain words
What is it for?
Checking spatial-data files, reading their metadata, distinguishing raw counts from processed values, and deciding whether multiple files can be combined.
Why use it?
It catches wrong file formats, damaged structures, missing locations, unsuitable raw or processed values, and incompatibilities between files before they cause analysis errors.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/rebell-leader/spatialai_mcp/spatial-data-validation
Clone the repo
git clone --depth 1 https://github.com/Rebell-Leader/SpatialAI_MCP

Made for: Cursor.

Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 499 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.00499
Opus 5 $0.00024 $0.00249
Sonnet 5 $0.00010 $0.00100
Haiku 4.5 $0.00005 $0.00050

Measured 2d ago against content hash dfff4e2c54e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spatial-data-validation 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.

.cursor/rules/spatial-data-validation.mdc · 48 lines

What it actually says

Spatial data validation

Validate first, reason second. Never assume a file's format or contents from its extension.

Steps

  1. Detect & validate format. Call the MCP tool validate_spatial_data with the file path. Choose validation_level:

    • basic — extension/existence only.
    • structure (default) — format + structural integrity.
    • integrity — deeper content checks.
    • domain — spatial-biology-specific expectations. For several files, use validate_multiple_spatial_files.
  2. Read the metadata. Call analyze_spatial_metadata to extract dimensions, spatial coordinates, and gene/feature info. Confirm obsm['spatial'] (AnnData) or coordinate systems (SpatialData) are present when spatial analysis is intended.

  3. Check raw vs. processed. Integer-valued matrices are likely raw counts; non-integer/log-scaled values are processed. State which the downstream method expects and flag a mismatch.

  4. Check compatibility when combining files: check_spatial_data_compatibility (coordinate systems + gene overlap).

Key facts (see context/data-formats.md)

  • A .zarr store is SpatialData only if it has SpatialData markers or ≥2 of images/ labels/ points/ shapes/ tables/. Otherwise it's a plain zarr array.
  • iST datasets can be terabytes. Default to lightweight structural checks; avoid loading whole objects. The heavy scientific stack (pip install -e ".[spatial]") is optional — the validators degrade gracefully without it.

Don't

  • Don't claim a file is valid SpatialData without inspecting contents.
  • Don't call execution tools (e.g. run_nextflow_workflow) — they aren't implemented. Drive local CLIs directly if execution is needed.
Changes

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.

  1. 2d ago First seen · 48 lines · 49 tokens per session scan A dfff4e2c54e9

Subscribe to this mod's changes

spatial-data-validation is a cursor rule published in the GitHub repository Rebell-Leader/SpatialAI_MCP (4 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 499 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 2026-08-31.