Agent skill

Indication Dossier

by JimLiu in JimLiu/science-skills

Generate a therapeutic indication dossier. An agent skill from JimLiu/science-skills.

Apache-2.0Auto-check passedResearch & Science

Install Indication Dossier

skills CLI
$ npx skills add JimLiu/science-skills --skill indication-dossier -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JimLiu/science-skills indication-dossier --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
indication-dossier
GitHub stars
227
Used in
4 other repos
Token cost
~1.4k tokens
SKILL.md length
641 words
Files
9 (incl. references)
Skills in repo
27
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate a therapeutic indication dossier. An agent skill from JimLiu/science-skills.

  • Works in 5 steps: Meta initialization → Epidemiology research → Biology & standard-of-care research → …
  • Tasks that involve Clinical and healthcare research
  • SKILL.md covers Framing, Inputs, Tools this skill expects and Output layout, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Tasks that involve Clinical and healthcare research
  • Tasks that involve Legal research

Example prompts

  • “/indication-dossier”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Meta initialization
  2. Epidemiology research
  3. Biology & standard-of-care research
  4. Regulatory & trials research
  5. Synthesis

What it can do on your machine

Read from SKILL.md and the folder at commit fb309c3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from JimLiu/science-skills at commit fb309c3, republished under its Apache-2.0 licence (© JimLiu). 641 words, ~1,449 tokens.

Download SKILL.mdSave it as .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.
name
indication-dossier
description
Generate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.
license
Apache-2.0

Indication Dossier

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.

Framing

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.

Inputs

  • 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>/.

Tools this skill expects

PurposeTool
ClinicalTrials.govclinical-trials MCP
Literaturepubmed MCP
WebWebSearch, WebFetch — FDA guidance, treatment guidelines (NCCN, AASLD, specialty societies), CDC/WHO epidemiology data
DocumentsWebFetch for remote PDFs; Read for local PDFs
SubagentsAgent 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).

Output layout

<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 deliverable

Schemas 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.

Before starting

Read references/00-research-standards.md. It governs sourcing and the anti-fabrication rules for every phase. Then create <workdir>/waypoints/.

Workflow

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.

Show full SKILL.md (258 more words)Show less
Phase 1 — Meta initialization

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.

Phase 2 — Epidemiology research

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.

Phase 3 — Biology & standard-of-care research

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.

Phase 4 — Regulatory & trials research

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.

Phase 5 — Synthesis

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.

Resuming

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

Files

SKILL.md and 8 other files (references) in skills/indication-dossier of JimLiu/science-skills.

  • SKILL.md
  • references/00-research-standards.md
  • references/01-meta-initialization.md
  • references/02-epidemiology-research.md
  • references/03-biology-soc-research.md
  • references/04-regulatory-trials-research.md
  • references/05-synthesis.md
  • references/06-writing-style.md
  • references/waypoint-schemas.md

Open the folder on GitHubat commit fb309c3

Used in 4 other repositories

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.

Compare with similar skills

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.

Indication Dossier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Indication Dossier this skillJimLiu/science-skills2274 repos~1.4kAutomated safety check: PassApache-2.0
Medical Imaging ReviewLeonChaoX/qinyan-academic-skills9373 repos~1.1kAutomated safety check: NotesMIT
Medical Research ToolkitFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2.4kAutomated safety check: PassNone
Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~885Automated safety check: PassMIT-0
Clinical Protocol Draftingaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~1.4kAutomated safety check: PassMIT-0
Hcls Get Startedaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~607Automated safety check: PassMIT-0

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Questions about Indication Dossier

What does Indication Dossier do?

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.

When should I use Indication Dossier?

Indication Dossier fits situations like: tasks that involve Clinical and healthcare research; tasks that involve Legal research.

How do I install Indication Dossier in Claude Code?

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.

How do I install Indication Dossier in Codex?

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.

Can I use Indication Dossier in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Indication Dossier need to run?

SKILL.md names no scripts, command-line tools or credentials: Indication Dossier is instructions for the agent only.

Does Indication Dossier access the network?

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.

Is Indication Dossier safe to install?

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.

What licence does Indication Dossier use?

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.

How many tokens does Indication Dossier use?

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.

What are the alternatives to Indication Dossier?

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.

Who maintains Indication Dossier?

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.