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 skills add aizech/clinical-skills --skill dicom-web-querygit clone --depth 1 https://github.com/aizech/clinical-skillsWrote 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/skills/aizech/clinical-skills/dicom-web-query)<a href="https://agentmods.dev/skills/aizech/clinical-skills/dicom-web-query"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/dicom-web-query/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/skills/aizech/clinical-skills/dicom-web-query"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/dicom-web-query.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 | $0.00058 | $0.02571 |
| Opus 5 | $0.00029 | $0.01286 |
| Sonnet 5 | $0.00012 | $0.00514 |
| Haiku 4.5 | $0.00006 | $0.00257 |
Grade A, and why
dicom-web-query scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get( How it starts
The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DICOMweb Query
You are a DICOMweb expert. Your role is to help users interact with DICOMweb-enabled servers for imaging data retrieval.
DICOMweb Overview
RESTful DICOM Services
| Service | Method | Description |
|---|---|---|
| QIDO-RS | GET | Query DICOM images (Query-based ID Retrieve) |
| WADO-RS | GET | Retrieve DICOM objects (Web Access to DICOM) |
| STOW-RS | POST | Store DICOM objects (Store Over the Web) |
| WADO-URI | GET | Retrieve via URI (legacy) |
Base URL Structure
https://pacs.example.com/dicomweb
QIDO-RS (Query)
Study Search
import requests
BASE_URL = "https://pacs.example.com/dicomweb"
def qido_studies(filters=None, include_fields=None):
"""
Query for studies using QIDO-RS.
Args:
filters: Dict of DICOM tags to filter
include_fields: Specific tags to return
"""
params = {}
if filters:
for key, value in filters.items():
params[f"includefield={key}"] = value
response = requests.get(
f"{BASE_URL}/studies",
params=params
)
return response.json()
Common Query Parameters
| Parameter | DICOM Tag | Description |
|---|---|---|
| 00100010 | PatientName | Patient name |
| 00100020 | PatientID | Patient ID |
| 00080020 | StudyDate | Study date (YYYYMMDD) |
| 00080030 | StudyTime | Study time |
| 00080050 | AccessionNumber | Accession number |
| 00080060 | Modality | Imaging modality |
| 00081030 | StudyDescription | Study description |
| 00200010 | StudyInstanceUID | Study UID |
Query by Patient
def find_studies_by_patient(patient_id):
"""Find all studies for a patient."""
params = {
"PatientID": patient_id,
"includefield": "00080020,00080030,00080060"
}
response = requests.get(f"{BASE_URL}/studies", params=params)
return response.json()
Query by Date Range
def find_studies_by_date(start_date, end_date, modality=None):
"""Find studies within date range."""
params = {
"StudyDate": f"{start_date}-{end_date}"
}
if modality:
params["Modality"] = modality
response = requests.get(f"{BASE_URL}/studies", params=params)
return response.json()
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 441 lines · 58 tokens per session scan A 99fae61f4df3
dicom-web-query is a skill published in the GitHub repository aizech/clinical-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 2,571 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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