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Perform header-only preflight checks on one DICOM series before conversion or inference.
Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
Review the original instructions and requested permissions before installing.
No security review is available for this catalog entry yet.
How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.
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Original instructions from the publisher’s SKILL.md
# DICOM Series Preflight
## Purpose
- Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
- Manifest I/O: inputs are `dicom_dir`; outputs are `preflight_json`.
## Instructions
- Read `skill_manifest.yaml` before changing arguments, side effects, or validation gates.
- Run `scripts/preflight_series.py` through the documented command below; keep outputs under a caller-provided run directory.
- If a host agent exposes `run_script`, use `run_script("scripts/preflight_series.py", args=[...])`; otherwise run the Bash/Python command shown below.
- Check the emitted JSON and paired verifier guidance before treating the run as evidence.
## Available Scripts
| Script | Purpose | Arguments |
|---|---|---|
| `scripts/preflight_series.py` | Primary entrypoint declared by skill_manifest.yaml. | `PATH_TO_DICOM_DIR` |
## Prerequisites
- Runtime requirements: Python packages listed in `runtime.side_effects.pip_packages`.
- NiBabel 5.4 or newer is required so extreme-oblique axes remain labeled consistently across reorientation.
- Run commands from the repository root unless an existing section below says otherwise.
## Limitations
- Header-only; does not decode pixel data or detect burnt-in PHI.
- Canonical orientation gate assumes LPS-derived CT axcodes L,P,S.
- Compressed transfer syntax and multi-frame instances are warned, not decoded.
- Single-directory scan; does not reconcile multiple studies in one tree.
- Not for clinical deployment, regulatory de-identification, autonomous diagnosis, production ingestion without a vetted converter.
## Troubleshooting
| Error | Cause | Fix |
|---|---|---|
| Missing dependency or import error | Runtime package drift from `skill_manifest.yaml`. | Install the packages declared in the manifest or use the documented setup command. |
| Empty or schema-invalid output | Wrong input path, unsupported modality, or upstream failure. | Re-run with a known fixture and inspect the wrapper JSON plus stderr. |
| Validation gate failure | Output violated a declared engineering invariant. | Keep the failed evidence pack and use the gate message to repair inputs or wrapper code. |
Scans a DICOM **directory** (one series per folder) without decoding pixels.
Emits JSON with inventory, orientation axcodes, PHI flags, findings, and a
`preflight.verdict` of `pass`, `warn`, or `fail`.
```bash
python scripts/preflight_series.py PATH_TO_DICOM_DIR
```
Pair with `verifiers/dicom_preflight_quality_v1` for a trusted preflight pack:
```bash
make run-trusted SKILL=dicom_series_preflight \
FIXTURE=skills/dicom-series-preflight/fixtures/clean_no_phi \
OUT=runs/dicom_preflight_demo
```
Flagship workflow:
```bash
make run-workflow \
WORKFLOW=examples/workflows/dicom_preflight_gate.yaml \
WORKFLOW_INPUT=skills/dicom-series-preflight/fixtures/clean_no_phi \
WORKFLOW_OUT=runs/dicom_preflight_gate
```
Not for de-identification, private-tag review, or clinical clearance.