# Grid Atlas Qc

> Scores grid squares and foil holes from an atlas montage, estimating ice thickness and contamination to produce a ranked acquisition queue for automated data collection.

- Skill: `emskills-mcp/grid-atlas-qc` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add emskills-mcp/grid-atlas-qc`
- Raw SKILL.md: https://api.skillmd.com/api/skills/emskills-mcp/grid-atlas-qc/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: emskills-mcp (https://skillmd.com/u/emskills-mcp)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/emskills-mcp/grid-atlas-qc

---


# grid-atlas-qc

## Scope
Scores grid squares and foil holes from an atlas montage, estimating ice thickness and contamination to produce a ranked acquisition queue for automated data collection.

Expects standard cryo-EM data products (image stacks, spectra or session
directories as appropriate) with pixel size / dispersion recorded in the file
metadata. Out of scope: acquisition scheduling, sample preparation, and any
analysis outside the image acquisition stage of the workflow.

## Safety
Read-only analysis of an existing atlas montage — no instrument control. Downstream queueing must be confirmed by an operator.

## Usage
```json
{
  "tool": "score_atlas",
  "arguments": {
    "input": "/data/cryo-em/session-001",
    "output": "/data/cryo-em/session-001/score_atlas"
  }
}
```

Returns a JSON object with `ok`, a `result` payload carrying the primary
measurement or map, and `diagnostics` with per-item confidence. Units are SI
unless stated otherwise in the result schema.

## Reproducibility
Runtime: `python 3.11`. Pin dependencies in `requirements.txt` / `package.json`
and run with a fixed seed. Reviewers can reproduce the reported numbers with:

```bash
cd skills/grid-atlas-qc
pip install -r requirements.txt && python3 verify.py --fixture fixtures/sample --seed 0
```