Individual skill

indication-dossier

Generate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.

resources/skills/indication-dossier/SKILL.md

Read pinned source

Source commit 357d1a980056e191f380d0e01ec4fbc7cf529d1b

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
5,501
Repository last updated
Nov 9, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 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
Back to top