Clinical Trials Database
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
Validate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR.
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install maziyarpanahi/openmed validating-us-core --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/validating-us-core .claude/skills/validating-us-core && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .claude/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-coreType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install maziyarpanahi/openmed validating-us-core --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/validating-us-core .agents/skills/validating-us-core && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .agents/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install maziyarpanahi/openmed validating-us-core --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/validating-us-core .cursor/skills/validating-us-core && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .cursor/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/maziyarpanahi/openmed.git --path skills/validating-us-core--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install maziyarpanahi/openmed validating-us-core --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/validating-us-core .gemini/skills/validating-us-core && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .gemini/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install maziyarpanahi/openmed validating-us-coreInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/validating-us-core .github/skills/validating-us-core && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .github/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add maziyarpanahi/openmed --skill validating-us-core -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install maziyarpanahi/openmed validating-us-core --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maziyarpanahi/openmed.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/validating-us-core .opencode/skills/validating-us-core && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "validating-us-core" agent skill from https://github.com/maziyarpanahi/openmed/tree/master/skills/validating-us-core into .opencode/skills/validating-us-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "validating-us-core", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
validating-us-coreValidate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR.
Validating Us Core is an agent skill from maziyarpanahi/openmed. Validate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR. Covers running validatorcli.jar (or the public validator.fhir.org), declaring meta.profile, must-support elements, common conformance gaps (missing code/category/status), and turning validator output into a FHIR OperationOutcome. Use after exporting-to-fhir / assembling-fhir-bundles to check OpenMed-produced FHIR for US Core conformance, when the user mentions US Core, USCDI…
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data…. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ea920f3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
javacurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
tx.fhir.orghl7.orgunitsofmeasure.orggithub.comAlso links to:
validator.fhir.orghealthit.govconfluence.hl7.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Validating Us Core loads about 1.9k tokens when it runs. Until then it costs about 156 tokens; SKILL.md has 746 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from maziyarpanahi/openmed at commit ea920f3, republished under its Apache-2.0 licence (© maziyarpanahi). 746 words, ~1,899 tokens.
.claude/skills/validating-us-core/SKILL.md (or your agent's skills folder).Producing syntactically valid R4 (which exporting-to-fhir and
assembling-fhir-bundles do) is not the same as conforming to US Core — the
HL7 US realm profiles that EHRs (Epic, Cerner/Oracle Health) require for
ingestion and that USCDI mandates for certified exchange. This skill validates
OpenMed-produced FHIR against US Core before you submit it.
Use it as the gate right before submission, after you have assembled a Bundle. Reach for it when the user says "US Core", "USCDI", "must-support", "will Epic accept this", or "validate my FHIR". It is the conformance counterpart to the mechanical builders — OpenMed builds the JSON; the HL7 validator judges it.
The reference implementation is the HL7 validator_cli.jar (the same engine
behind https://validator.fhir.org). Validate against the US Core package by IG:
# One-time: get the validator
curl -L -o validator_cli.jar \
https://github.com/hapifhir/org.hl7.fhir.core/releases/latest/download/validator_cli.jar
# Validate a resource/Bundle against the current US Core IG
java -jar validator_cli.jar condition.json \
-version 4.0.1 \
-ig hl7.fhir.us.core \
-tx https://tx.fhir.org # terminology server for code validation-ig hl7.fhir.us.core pulls the current published US Core package; pin a
version (e.g. -ig hl7.fhir.us.core#6.1.0) for reproducible CI. The validator
exits non-zero on errors and prints issues with FHIRPath locations.
For ad-hoc checks without a JVM, paste the JSON into the public validator UI at https://validator.fhir.org (do not paste real PHI — validate synthetic or de-identified resources only).
US Core only validates against a profile if the resource claims it via
meta.profile. Add the canonical URL for the profile you target:
{
"resourceType": "Condition",
"meta": {
"profile": [
"http://hl7.org/fhir/us/core/StructureDefinition/us-core-condition-problems-health-concerns"
]
}
}Then java -jar validator_cli.jar condition.json -ig hl7.fhir.us.core checks it
against that profile's constraints, including must-support elements.
OpenMed NER gives you the clinical mention; US Core wants structured context. The recurring gaps when going from raw spans to US Core:
| Gap | US Core expects | Fix in the exporter |
|---|---|---|
Missing code.coding | A coded value (SNOMED/ICD-10 for Condition; LOINC for Observation; RxNorm for medication) | Ground the span; codeable_concept([...]) with a real coding, not just text |
Missing category | encounter-diagnosis/problem-list-item (Condition), laboratory/vital-signs (Observation) | Set category in the resource shell |
Missing clinicalStatus / status | Required status fields | Set them per the exporting-to-fhir cheat-sheet |
Missing subject | A resolvable Patient reference | Reference an in-Bundle Patient; let to_bundle rewrite it |
Unbound valueQuantity.code | UCUM unit code | Use system: http://unitsofmeasure.org + UCUM code |
| Vital signs not on the vitals profile | us-core-vital-signs shape (LOINC code, vital-signs category) | Use the vitals LOINC + category |
"Must-support" means the producer must populate the element when the data exists. The validator flags must-support omissions as warnings; certified systems may reject them.
exporting-to-fhir, assembling-fhir-bundles).meta.profile for the US Core profile each resource targets.validator_cli.jar with -ig hl7.fhir.us.core and a -tx server.assembling-fhir-bundles for the transaction POST).If you run validation programmatically, adapt the result into a FHIR
OperationOutcome with OpenMed's helper so the rest of your pipeline speaks one
shape:
from openmed.clinical.exporters.fhir import from_validation_result
# `result` exposes issues, or errors/warnings/information buckets
outcome = from_validation_result(result) # -> R4 OperationOutcome dictfrom_validation_result understands either an issues collection or
errors/warnings/information buckets (strings or issue objects) and emits a
clean R4 OperationOutcome (all-ok when empty). It only reads structural
metadata — keep diagnostics PHI-free.
assembling-fhir-bundles; the output is conformance issues you fix back in
exporting-to-fhir.from_validation_result /
to_operation_outcome / OperationOutcomeIssue (all in
openmed.clinical.exporters.fhir) convert validator findings to R4.openmed.interop.fhir_operations.de_identify_bundle
first.meta.profile, no profile check. The validator validates base R4 only
unless the resource claims the profile (or you force it with -profile <url>).-tx server. Without -tx, code-system /
value-set bindings are not fully checked; many US Core required bindings
will be missed. Point -tx at https://tx.fhir.org or your own Ontoserver.hl7.fhir.us.core#<version>). US Core revisions
change must-support and bindings; an unpinned run drifts.urn:uuid references resolve; validating a lone resource flags references it
cannot see.© maziyarpanahi, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/validating-us-core of maziyarpanahi/openmed.
Open the folder on GitHubat commit ea920f3
Validating Us Core next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Validating Us Core this skillmaziyarpanahi/openmed | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Clinical Trials Databasegoogle-deepmind/science-skills | 3.2k | 3 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Model AssessmentAperivue/medsci-skills | 329 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Research Proposalluwill/research-skills | 858 | — | ~4.4k | Automated safety check: Notes | None |
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Aperivue/medsci-skills
A skill your agent uses when validating or evaluating a trained medical-imaging model.
xjtulyc/MedgeClaw
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
luwill/research-skills
A skill your agent uses when the user asks to write or draft a PhD / doctoral research proposal, research plan, 研究计划书, or 开题报告 — a forward-looking plan of background, gap, research questions…
LeonChaoX/qinyan-academic-skills
Write comprehensive literature reviews for medical imaging AI research.
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
maziyarpanahi/openmed
Fills in a model card for an OpenMed clinical NER or de-identification model from its evaluation reports: intended use, metrics, subgroups and limitations.
maziyarpanahi/openmed
Walks a data pipeline against the HIPAA Privacy and Security Rule checklist and produces a gap report before it processes patient data.
maziyarpanahi/openmed
Suggests candidate ICD-10-CM diagnosis and ICD-10-PCS procedure codes for clinical text extracted by OpenMed, with rationale for a certified coder to review.
maziyarpanahi/openmed
Maps OpenMed-extracted, terminology-coded conditions, drugs and measurements into OMOP CDM v5.4 tables for OHDSI and ATLAS analytics.
maziyarpanahi/openmed
Finds social risks such as housing instability or food insecurity in clinical notes and proposes matching ICD-10-CM Z-codes for a coder to confirm.
Categories
Validate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR. Validating Us Core is an agent skill from maziyarpanahi/openmed. Validate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR.
Validating Us Core fits situations like: mentions US Core; profile validation; epic/Cerner ingestion requirements.
Run `npx skills add maziyarpanahi/openmed --skill validating-us-core -a claude-code`. Or copy the skill folder (skills/validating-us-core in maziyarpanahi/openmed) into .claude/skills/validating-us-core in your project. Claude Code loads it when a task matches its description.
Run `npx skills add maziyarpanahi/openmed --skill validating-us-core -a codex`. Or copy the skill folder (skills/validating-us-core in maziyarpanahi/openmed) into .agents/skills/validating-us-core in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add maziyarpanahi/openmed --skill validating-us-core -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/validating-us-core, .gemini/skills/validating-us-core, .github/skills/validating-us-core and .opencode/skills/validating-us-core in your project.
Going by SKILL.md and its folder, Validating Us Core needs the command-line tools its instructions call (java and curl). Our summary lists: Python 3.
SKILL.md names 7 domains. In commands or code: tx.fhir.org, hl7.org, unitsofmeasure.org and github.com; the agent is likely to contact these when it follows the instructions. As links in the text: validator.fhir.org, healthit.gov and confluence.hl7.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Validating Us Core is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Validating Us Core: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Model Assessment (Aperivue/medsci-skills, 329 stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
maziyarpanahi (a GitHub user) maintains it in maziyarpanahi/openmed, which has 5,457 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 7, 2026.
Source: maziyarpanahi/openmed on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.