Medical Imaging Review
LeonChaoX/qinyan-academic-skills
Write comprehensive literature reviews for medical imaging AI research.
Generate a therapeutic indication dossier. An agent skill from JimLiu/science-skills.
$ npx skills add JimLiu/science-skills --skill indication-dossier -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JimLiu/science-skills indication-dossier --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/JimLiu/science-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/indication-dossier .claude/skills/indication-dossier && 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 "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .claude/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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/JimLiu/science-skills/tree/main/skills/indication-dossierType 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 JimLiu/science-skills --skill indication-dossier -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JimLiu/science-skills indication-dossier --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/science-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/indication-dossier .agents/skills/indication-dossier && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .agents/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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 JimLiu/science-skills --skill indication-dossier -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JimLiu/science-skills indication-dossier --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/science-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/indication-dossier .cursor/skills/indication-dossier && 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 "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .cursor/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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/JimLiu/science-skills.git --path skills/indication-dossier--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 JimLiu/science-skills --skill indication-dossier -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JimLiu/science-skills indication-dossier --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/science-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/indication-dossier .gemini/skills/indication-dossier && 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 "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .gemini/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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 JimLiu/science-skills indication-dossierInstalls 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 JimLiu/science-skills --skill indication-dossier -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JimLiu/science-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/indication-dossier .github/skills/indication-dossier && 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 "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .github/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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 JimLiu/science-skills --skill indication-dossier -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JimLiu/science-skills indication-dossier --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/science-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/indication-dossier .opencode/skills/indication-dossier && 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 "indication-dossier" agent skill from https://github.com/JimLiu/science-skills/tree/main/skills/indication-dossier into .opencode/skills/indication-dossier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indication-dossier", 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.
indication-dossierGenerate a therapeutic indication dossier. An agent skill from JimLiu/science-skills.
Indication Dossier is an agent skill from JimLiu/science-skills. Generate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/00-research-standards.md`, `references/01-meta-initialization.md` and `references/02-epidemiology-research.md`).
It sits in Research & Science, covering Clinical and healthcare research and Legal research. It works with Model Context Protocol. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fb309c3. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Indication Dossier loads about 1.4k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 641 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 JimLiu/science-skills at commit fb309c3, republished under its Apache-2.0 licence (© JimLiu). 641 words, ~1,449 tokens.
.claude/skills/indication-dossier/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Produces a structured research dossier on a single indication, framed as a patient population: who they are, what's wrong, how they're treated today, and how clinical trials can be designed to help them. Runs as five phases that write resumable waypoint files; after a brief identity check at the end of Phase 1, the remaining phases run straight through.
Think of an indication as a patient population. Frame everything from the patient perspective: "Who are these patients?" not "What is this disease?"; "How are these patients identified and managed?" not "What causes this condition?"; population nesting: "all patients in {child} are patients in {parent}".
Some indications don't map to ICD codes or standard disease definitions: "immunosenescence" is a biological state, not a billable diagnosis; "ageing" is not an FDA-accepted indication; "GLP-1 induced sarcopenia" is an iatrogenic population. Note these distinctions explicitly. They matter for regulatory path and trial design.
indication (required) — indication name (e.g., "sarcopenia",
"idiopathic pulmonary fibrosis").additional_context (optional) — areas to focus on, parent
indication, or other framing.workdir (optional) — where to write waypoints and the final report.
Defaults to ./do_not_commit/indication-dossier-<slug>/.| Purpose | Tool |
|---|---|
| ClinicalTrials.gov | clinical-trials MCP |
| Literature | pubmed MCP |
| Web | WebSearch, WebFetch — FDA guidance, treatment guidelines (NCCN, AASLD, specialty societies), CDC/WHO epidemiology data |
| Documents | WebFetch for remote PDFs; Read for local PDFs |
| Subagents | Agent for parallel evidence gathering |
If a listed MCP isn't connected, say so and fall back to WebSearch against
the underlying public source (clinicaltrials.gov, pubmed.ncbi.nlm.nih.gov).
<workdir>/
└── waypoints/
├── progress.json # loop control
├── meta.json # phase 1
├── epidemiology.json # phase 2
├── biology_soc.json # phase 3
├── regulatory_trials.json # phase 4
├── sources_evaluated.json
├── research_output.json # phase 5 — structured output
└── indication_dossier_report.md # phase 5 — the deliverableSchemas for every waypoint file are in references/waypoint-schemas.md.
Waypoints are the resumable state. If the workdir already has waypoints, read
them, summarize what's done, and ask which phase to resume from.
Read references/00-research-standards.md. It governs sourcing and the
anti-fabrication rules for every phase. Then create <workdir>/waypoints/.
The dossier is built in five phases. After each phase, write the waypoint
file and emit a ≤200-word summary of what you found and what's uncertain,
then proceed directly to the next phase. The one exception is Phase 1: after
writing meta.json, show the resolved indication identity and call
ask_user with options Proceed / Revise identity / Stop, so a
misread indication name can be caught before the expensive phases run. If
ask_user is unavailable, state "proceeding on this interpretation;
interrupt now to correct it" and continue.
Read references/01-meta-initialization.md. Resolve the indication identity:
clinical definition, ICD codes, aliases, parent indication, and whether it's
a recognized diagnostic entity. Run a quick CT.gov landscape scan. Stand up
waypoints/meta.json.
Read references/02-epidemiology-research.md. Characterize the population:
diagnostic criteria, prevalence and incidence, demographics and risk factors,
natural history. Use parallel subagents to search PubMed and the web
simultaneously. Write waypoints/epidemiology.json.
Read references/03-biology-soc-research.md. Establish pathophysiology,
biomarkers, approved therapies, treatment guidelines, and unmet need. Use
parallel subagents: PubMed for biology, web for guidelines, FDA for
approvals. Write waypoints/biology_soc.json.
Read references/04-regulatory-trials-research.md. Establish FDA/EMA
accepted endpoints, regulatory precedents, typical trial design parameters,
landmark trials, and notable failures. Use parallel subagents: FDA for
guidance/approvals, CT.gov for trial patterns, PubMed for trial-history
reviews. Write waypoints/regulatory_trials.json.
Read references/05-synthesis.md and references/06-writing-style.md. Read
all four consolidated waypoint files. Write
waypoints/indication_dossier_report.md — narrative sections in the order
the synthesis reference specifies, with inline citations per the style guide
— and waypoints/research_output.json. No new research threads in this
phase. Targeted gap-fills are allowed: a single fetch to resolve a specific
missing value in an existing waypoint field (an approval year, an NCT ID, a
figure from a sponsor pipeline page). Anything broader than that, name as a
gap rather than filling it.
If invoked with a workdir that already contains waypoints: list which phases
are complete (waypoint file exists and is non-empty), show the meta summary,
and ask the user which phase to run next. Never overwrite an existing waypoint
without confirmation.
© JimLiu, 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
SKILL.md and 8 other files (references) in skills/indication-dossier of JimLiu/science-skills.
Open the folder on GitHubat commit fb309c3
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in JimLiu/science-skills, which our catalogue first saw on October 7, 2026.
Indication Dossier 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 |
|---|---|---|---|---|---|---|
| Indication Dossier this skillJimLiu/science-skills | 227 | 4 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Medical Imaging ReviewLeonChaoX/qinyan-academic-skills | 937 | 3 repos | ~1.1k | Automated safety check: Notes | MIT | |
| Medical Research ToolkitFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.4k | Automated safety check: Pass | None | |
| Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~885 | Automated safety check: Pass | MIT-0 | |
| Clinical Protocol Draftingaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.4k | Automated safety check: Pass | MIT-0 | |
| Hcls Get Startedaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~607 | Automated safety check: Pass | MIT-0 |
LeonChaoX/qinyan-academic-skills
Write comprehensive literature reviews for medical imaging AI research.
FreedomIntelligence/OpenClaw-Medical-Skills
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aws-samples/amazon-bedrock-agents-healthcare-lifesciences
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aws-samples/amazon-bedrock-agents-healthcare-lifesciences
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Structure prediction using OpenFold3, an open-weights PyTorch reproduction of AlphaFold3 from the AlQuraishi Lab.
Works with
Categories
Generate a therapeutic indication dossier. An agent skill from JimLiu/science-skills. Indication Dossier is an agent skill from JimLiu/science-skills. Generate a therapeutic indication dossier.
Indication Dossier fits situations like: tasks that involve Clinical and healthcare research; tasks that involve Legal research.
Run `npx skills add JimLiu/science-skills --skill indication-dossier -a claude-code`. Or copy the skill folder (skills/indication-dossier in JimLiu/science-skills) into .claude/skills/indication-dossier in your project. Claude Code loads it when a task matches its description.
Run `npx skills add JimLiu/science-skills --skill indication-dossier -a codex`. Or copy the skill folder (skills/indication-dossier in JimLiu/science-skills) into .agents/skills/indication-dossier 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 JimLiu/science-skills --skill indication-dossier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/indication-dossier, .gemini/skills/indication-dossier, .github/skills/indication-dossier and .opencode/skills/indication-dossier in your project.
SKILL.md names no scripts, command-line tools or credentials: Indication Dossier is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Indication Dossier 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 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Indication Dossier: Medical Imaging Review (LeonChaoX/qinyan-academic-skills, 937 stars), Medical Research Toolkit (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars), Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars) and Clinical Protocol Drafting (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
JimLiu (a GitHub user) maintains it in JimLiu/science-skills, which has 227 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on July 1, 2026.
Source: JimLiu/science-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.