Source profileQuality 77/100

xuzhougeng/wisp-science/skills/indication-dossier/SKILL.md

indication-dossier

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

Source repository stars
560
Declared platforms
0
Static risk flags
1
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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 iden…

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/xuzhougeng/wisp-science --skill "skills/indication-dossier"
    Safe inspection promptEditorial

    Inspect the Agent Skill "indication-dossier" from https://github.com/xuzhougeng/wisp-science/blob/95d2c13d1665d46a388b5bdc998dcce0d5ec2eee/skills/indication-dossier/SKILL.md at commit 95d2c13d1665d46a388b5bdc998dcce0d5ec2eee. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      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 identi…

      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:…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.…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 we…
    2. 02

      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.

      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.…
    3. 03

      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.

      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 we…
    4. 04

      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/biologysoc.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 approv…
    5. 05

      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-…

      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 guid…

    Permission review

    Static risk signals and limitations

    Network access

    medium · line 90

    The documentation includes network, browsing, or remote request actions.

    natural history. Use parallel subagents to search PubMed and the web

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score77/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars560SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    xuzhougeng/wisp-science
    Skill path
    skills/indication-dossier/SKILL.md
    Commit
    95d2c13d1665d46a388b5bdc998dcce0d5ec2eee
    License
    AGPL-3.0
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    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 end the turn with a concise request for Proceed, Revise identity, or Stop. Do not start the expensive phases until the user answers; Wisp has no separate interactive-question tool that can be called from the workflow.

    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.

    Alternatives

    Compare before choosing