How do I install the Radiology Search skill?

Run npx skillmds@latest add huang-sir1/radiology-search in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Radiology Search safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Radiology Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Radiology Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Radiology Search?

huang-sir1 (@huang-sir1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Radiology Search by huang-sir1 — Agent Skill

Name: Radiology Search
Author: huang-sir1

Radiology Search

Multi-source literature, dataset, and local-corpus search for imaging research, with deduplication, identifier verification, reference management, and survey/RAG workflow support. Searches PubMed, arXiv, Crossref, and imaging dataset registries (TCIA, GEO, cBioPortal, OpenNeuro, Grand Challenge, Medical Segmentation Decathlon), and can structure local paper/RAG workflows when a paper database, PaperQA2, NotebookLM, or paperpipe-style backend exists. Use when the user wants to find papers/datasets, run systematic or survey-level search, verify DOI/PMID/arXiv IDs, map a field, build a gap matrix, or synthesize literature for a manuscript. Verifies identifiers and exposes incomplete metadata; never fabricates bibliographic fields.

huang-sir1 Updated Sep 17, 2026

File contents

Multi-Source Search (imaging literature + datasets)

Find and verify imaging-research papers and datasets across the right sources, merge without double-counting, and hand clean candidates to citation/export.

Core stance

Right source first. PubMed for biomedical recall (+ MeSH); arXiv for imaging-AI methods and preprints; Crossref for DOI/cross-disciplinary metadata. Dataset registries for data.
Verify identifiers (DOI/PMID/arXiv) before citing; expose failed/missing metadata.
Deduplicate by DOI → PMID → arXiv ID → normalized title; don't count duplicates as independent evidence.
Recall vs precision — for systematic/DTA reviews use MeSH + structured strategy and log it (PRISMA-DTA reproducibility); for quick lookups, precision.
No fabrication — never invent volume/issue/pages/DOI/dataset accession.

When to use

"Find recent papers on [imaging-AI topic]." / "Systematic search for a DTA meta-analysis."
"Is there a public dataset for [task/organ/modality]?"
"Verify these DOIs/PMIDs." / "Expand my query with MeSH terms."
"Build a literature map / gap matrix / local paper RAG plan for this manuscript."

When to open extra files

File	Open when
references/source-tiers.md	Which source to query first; fallback order; MeSH; recall vs precision; dedup keys
references/dataset-sources.md	Finding imaging + omics datasets (TCIA, GEO, cBioPortal, OpenNeuro, Grand Challenge, MSD)
references/literature-survey-workflow.md	The user needs field mapping, Introduction support, reviewer-defense literature, dataset scouting, or a manuscript-level literature synthesis rather than a quick lookup

Workflow

For survey-level or local-corpus work, open literature-survey-workflow.md and choose the mode: Intent / Triage / Deepen / Synthesize / Expand. Use its local paper/RAG ladder before expensive synthesis when a paper database is available.
Classify the need — papers vs datasets; quick lookup vs systematic recall.
Build the query — concepts (translate Chinese → English scientific terms); for PubMed add MeSH; record the strategy for systematic searches.
Search the right sources (source-tiers.md), per-source limits; for data use dataset-sources.md.
Merge & dedup across sources by identifier/title.
Verify key identifiers; flag unresolved.
Return a ranked, deduplicated candidate list (+ a logged strategy for systematic searches). Hand export to radiology-citation.

MCP/tooling note

Works in prompt mode (built-in search tools, following these rules) or with an academic-search MCP exposing search_papers / get_paper_by_id / get_citation / lookup_mesh. Set a contact email for PubMed E-utilities; optionally NCBI_API_KEY for higher rate limits. (Restricted/blocked domains: do not attempt to bypass — report inaccessibility.)

Output contract

Strategy — sources queried, query strings/MeSH, limits, dates (full log for systematic searches).
Candidates — deduplicated: Title | Authors | Year | Venue | DOI/PMID/arXiv | Verified?.
Datasets (if requested) — Name | Source | Modality/omics | n | Access | Accession.
Survey artifacts (if survey-level work) — corpus log, paper-note/gap-matrix summary, local/RAG index status when relevant, exemplar craft notes, reviewer-objection candidates, and claim-ready citation roles.
Unresolved/Incomplete — failed lookups and missing metadata.

Handoffs

Citation grading/export → radiology-citation; dataset access/governance & availability statements → radiology-data; systematic-review reporting → radiology-reporting (PRISMA-DTA); full bilingual read of a key retrieved paper → radiology-reader.

---name: radiology-searchdescription: Multi-source literature, dataset, and local-corpus search for imaging research, with deduplication, identifier verification, reference management, and survey/RAG workflow support. Searches PubMed, arXiv, Crossref, and imaging dataset registries (TCIA, GEO, cBioPortal, OpenNeuro, Grand Challenge, Medical Segmentation Decathlon), and can structure local paper/RAG workflows when a paper database, PaperQA2, NotebookLM, or paperpipe-style backend exists. Use when the user wants to find papers/datasets, run systematic or survey-level search, verify DOI/PMID/arXiv IDs, map a field, build a gap matrix, or synthesize literature for a manuscript. Verifies identifiers and exposes incomplete metadata; never fabricates bibliographic fields.---# Multi-Source Search (imaging literature + datasets)Find and verify imaging-research papers **and** datasets across the right sources, mergewithout double-counting, and hand clean candidates to citation/export.## Core stance- **Right source first.** PubMed for biomedical recall (+ MeSH); arXiv for imaging-AI methods and preprints; Crossref for DOI/cross-disciplinary metadata. Dataset registries for data.- **Verify identifiers** (DOI/PMID/arXiv) before citing; expose failed/missing metadata.- **Deduplicate** by DOI → PMID → arXiv ID → normalized title; don't count duplicates as independent evidence.- **Recall vs precision** — for systematic/DTA reviews use MeSH + structured strategy and log it (PRISMA-DTA reproducibility); for quick lookups, precision.- **No fabrication** — never invent volume/issue/pages/DOI/dataset accession.## When to use- "Find recent papers on [imaging-AI topic]." / "Systematic search for a DTA meta-analysis."- "Is there a public dataset for [task/organ/modality]?"- "Verify these DOIs/PMIDs." / "Expand my query with MeSH terms."- "Build a literature map / gap matrix / local paper RAG plan for this manuscript."## When to open extra files| File | Open when ||---|---|| [references/source-tiers.md](references/source-tiers.md) | Which source to query first; fallback order; MeSH; recall vs precision; dedup keys || [references/dataset-sources.md](references/dataset-sources.md) | Finding imaging + omics datasets (TCIA, GEO, cBioPortal, OpenNeuro, Grand Challenge, MSD) || [references/literature-survey-workflow.md](references/literature-survey-workflow.md) | The user needs field mapping, Introduction support, reviewer-defense literature, dataset scouting, or a manuscript-level literature synthesis rather than a quick lookup |## Workflow0. **For survey-level or local-corpus work**, open `literature-survey-workflow.md` and choose the mode: Intent / Triage / Deepen / Synthesize / Expand. Use its local paper/RAG ladder before expensive synthesis when a paper database is available.1. **Classify the need** — papers vs datasets; quick lookup vs systematic recall.2. **Build the query** — concepts (translate Chinese → English scientific terms); for PubMed add MeSH; record the strategy for systematic searches.3. **Search the right sources** (source-tiers.md), per-source limits; for data use dataset-sources.md.4. **Merge & dedup** across sources by identifier/title.5. **Verify** key identifiers; flag unresolved.6. **Return** a ranked, deduplicated candidate list (+ a logged strategy for systematic searches). Hand export to `radiology-citation`.## MCP/tooling noteWorks in prompt mode (built-in search tools, following these rules) or with an academic-searchMCP exposing `search_papers` / `get_paper_by_id` / `get_citation` / `lookup_mesh`. Set acontact email for PubMed E-utilities; optionally `NCBI_API_KEY` for higher rate limits.(Restricted/blocked domains: do not attempt to bypass — report inaccessibility.)## Output contract1. **`Strategy`** — sources queried, query strings/MeSH, limits, dates (full log for systematic searches).2. **`Candidates`** — deduplicated: `Title | Authors | Year | Venue | DOI/PMID/arXiv | Verified?`.3. **`Datasets`** (if requested) — `Name | Source | Modality/omics | n | Access | Accession`.4. **`Survey artifacts`** (if survey-level work) — corpus log, paper-note/gap-matrix summary, local/RAG index status when relevant, exemplar craft notes, reviewer-objection candidates, and claim-ready citation roles.5. **`Unresolved/Incomplete`** — failed lookups and missing metadata.## HandoffsCitation grading/export → `radiology-citation`; dataset access/governance & availabilitystatements → `radiology-data`; systematic-review reporting → `radiology-reporting` (PRISMA-DTA);full bilingual read of a key retrieved paper → `radiology-reader`.

Frequently asked questions