awslabs/hcls-agent-skills is a collection of reusable instructions that help AI agents handle healthcare and life sciences work, including genomics, medical imaging, claims, and drug discovery. It is intended for agents running on Agent Skills-compatible platforms, and the catalogue entries are its individual domain skills.
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 awslabs/hcls-agent-skills --skill dicom-processinggit clone --depth 1 https://github.com/awslabs/hcls-agent-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/awslabs/hcls-agent-skills/dicom-processing)<a href="https://agentmods.dev/skills/awslabs/hcls-agent-skills/dicom-processing"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/dicom-processing/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/awslabs/hcls-agent-skills/dicom-processing"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/dicom-processing.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 | $0.00091 | $0.02870 |
| Opus 5.5 | $0.00036 | $0.01148 |
| Sonnet 5.5 | $0.00018 | $0.00574 |
| Haiku 4.5 | $0.00009 | $0.00287 |
Grade A, and why
dicom-processing 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 2mo 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run( The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2mo ago First seen · 266 lines · 91 tokens per session scan A d280bf9c8f97
dicom-processing is a skill published in the GitHub repository awslabs/hcls-agent-skills (72 stars, last pushed 1mo ago), licensed MIT-0. It adds 91 tokens to every session and 2,870 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
dicom-processing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dicom-processingawslabs/hcls-agent-skills | Skill | 72 | 1mo ago | MIT-0 | A | 91 | Claude Code, Codex |
| plotly-interactive-plotsjaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 105 | Claude Code |
| biopython-sequence-analysisjaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 118 | Claude Code |
| cbioportal-databasejaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 82 | Claude Code |
| encode-databasejaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 124 | Claude Code |
| single-cell-annotation-guidejaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 75 | Claude Code |
| opentrons-protocol-apijaechang-hits/SciAgent-Skills | Skill | 384 | 2d ago | none | A | 83 | Claude Code |