clinical-skills
AGENTS.md4 starsChanged 7 months agoMITView on GitHub
Guidelines for AI agents working in this repository. For contributing guidelines, see CLAUDE.md. Skills follow the Agent Skills spec. See tools/REGISTRY.md for all available tools.
- Installs packages
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository27 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- public/llms.txtllms.txt
- ai-detection-pipelineSkill
- ai-quality-reviewSkill
- ai-report-assistSkill
- care-gap-closureSkill
- cross-reference-linkingSkill
- dataset-preprocessingSkill
- dicom-web-querySkill
- followup-trackingSkill
- guideline-integrationSkill
- image-quality-auditSkill
- imaging-referralSkill
- imaging-study-reviewSkill
- llm-radiology-useSkill
- modality-detectionSkill
- model-validationSkill
- pacs-workflowSkill
- patient-education-materialSkill
- patient-results-letterSkill
- radiology-contextSkill
- radiology-dataset-guideSkill
- radiology-metricsSkill
- radiology-report-analysisSkill
- radiology-researchSkill
- report-quality-reviewSkill
- structured-reportingSkill
The file
We split this AGENTS.md into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 92
Define evals first: - Write evals/evals.json with test cases
- Distinctive: line 94
Test & iterate: - Run validation, fix failures
- Distinctive: line 95
Document: - Add integration docs if needed
- Distinctive: line 181
Once per session: - Check VERSIONS.md for updates:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
Guidelines for AI agents working in this repository. For contributing guidelines, see CLAUDE.md.
Repository Overview
- Name: Clinical Skills
- GitHub: aizech/clinical-skills
- Creator: Corpus Analytica
- Focus: Radiological Analytics
- License: MIT
- Version: 1.0.1 (2026-04-04)
- Status: 26 skills, 30+ integration docs, 12 CLI tools, 85 tests
Repository Structure
clinical-skills/
├── .claude-plugin/
│ └── marketplace.json # Plugin marketplace manifest
├── skills/ # Agent Skills (26 skills)
│ ├── core/ # Foundational skills
│ ├── clinical-documentation/
│ ├── patient-communication/
│ ├── workflow-coordination/
│ ├── analytics-quality/
│ ├── research-evidence/
│ ├── platform-integration/
│ ├── ai-assistants/
│ └── dataset/
├── tools/
│ ├── integrations/ # 30+ platform integration docs
│ ├── clis/ # 12 Python CLI tools
│ │ ├── shared/ # Shared utilities (base_cli, api_client, json_formatter)
│ │ └── tests/ # Comprehensive test suite (85 tests)
├── docs/ # Development documentation
│ ├── DEVELOPMENT.md
│ ├── TROUBLESHOOTING.md
│ ├── WORKFLOW_EXAMPLES.md
│ ├── CLI_API.md
│ └── DOCKER.md
├── scripts/ # Validation scripts
└── .github/ # GitHub config (5 workflows including CLI tests)Skill Categories
| Category | Skills |
| Core | modality-detection, radiology-context |
| Clinical Documentation | radiology-report-analysis, structured-reporting, imaging-study-review |
| Patient Communication | patient-results-letter, patient-education-material |
| Workflow Coordination | imaging-referral, followup-tracking, care-gap-closure |
| Platform Integration | pacs-workflow, pubmed-search, dicom-web-query |
| AI Assistants | ai-report-assist, ai-detection-pipeline, llm-radiology-use, ai-quality-review |
| Analytics Quality | radiology-metrics, image-quality-audit, report-quality-review |
| Research Evidence | guideline-integration, cross-reference-linking, radiology-research |
| Dataset | radiology-dataset-guide, dataset-preprocessing, model-validation |
Skill Specification
Skills follow the Agent Skills spec.
Required Frontmatter
---
name: skill-name
description: What this skill does and when to use it. Include trigger phrases.
---Field Constraints
| Field | Constraints |
name | 1-64 chars, lowercase a-z, numbers, hyphens. Must match directory. |
description | 1-1024 characters with trigger phrases. |
Valid Directory Structure
skills/{category}/{skill-name}/
├── SKILL.md # Required (<500 lines)
├── evals/
│ └── evals.json # Test cases (TDD)
└── references/ # Optional detailed docsTDD Workflow
- Define evals first - Write
evals/evals.jsonwith test cases - Write skill - Implement to pass evals
- Test & iterate - Run validation, fix failures
- Document - Add integration docs if needed
# Validate all skills
./scripts/validate-skills.sh
# Validate specific skill
./scripts/validate-skills.sh skills/{category}/{skill-name}Tool Registry
See tools/REGISTRY.md for all available tools.
| Category | Tools |
| PACS | orthanc, dcm4chee, ohif-viewer |
| AI Detection | aidoc, nvidia-clara, zebra-medical, maxq-ai, qure-ai |
| AI Reporting | radai |
| LLM Platforms | medpalm-api, google-health, amazon-healthlake |
| EHR | epic-radiant, cerner-powerchart |
| Datasets | rsna-data, nih-chestxray14, physionet-mimic, chexpert, luna16, brats, etc. |
| Reference | pubmed-ncbi, radiopaedia, fhir-r4, hl7-v2 |
Documentation
Development Guides
docs/DEVELOPMENT.md- Development setup, validation, testingdocs/TROUBLESHOOTING.md- Common issues and solutionsdocs/WORKFLOW_EXAMPLES.md- End-to-end workflow examplesdocs/CLI_API.md- CLI tools API documentationdocs/DOCKER.md- Docker support and usage guide
Integration Documentation
tools/integrations/INTEGRATION_TEMPLATE.md- Template for new integration docstools/integrations/*.md- 30+ platform-specific integration guides
Validation Commands
Skills
./scripts/validate-skills.sh # All skills
./scripts/validate-skills.sh skills/{path} # Specific skillCLI Tools
# Run CLI tools
python tools/clis/dicom_qido.py --help # DICOM query
python tools/clis/pubmed_search.py --help # Literature search
# Run tests
pytest tools/clis/tests/ -v # All CLI tests
pytest tools/clis/tests/test_dicom_qido.py # Specific test
# Run with Docker
docker-compose run cli-tools python tools/clis/dicom_qido.py --helpDevelopment Setup
# Install dependencies
pip install -r requirements.txt
# Run pre-commit hooks
pre-commit run --all-files
# See docs/DEVELOPMENT.md for complete setup guideGit Workflow
Branch Naming
feature/skill-name- New skillsfix/skill-description- Improvementsdocs/description- Documentation
Commit Messages
feat: add pacs-workflow skill
fix: improve modality-detection accuracy
docs: update orthanc integration docChecking for Updates
- Once per session - Check VERSIONS.md for updates:
https://raw.githubusercontent.com/aizech/clinical-skills/main/VERSIONS.md - Notify if meaningful:
- 2+ skills updated, OR
- Major version bump (1.x → 2.x)
- Update command:
git pull in clinical-skills directory
Version History
See CHANGELOG.md for version history and updates.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

