indication-dossier
Build a sourced research dossier for one therapeutic indication — patient population, epidemiology, disease biology, standard of care, regulatory path, and landmark trials
Install / Use
npx skills add xuzhougeng/wisp-science --skill indication-dossierInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of indication-dossier
indication-dossier scores 83/100 on our quality scale, 811th of 1,141 Content & Media skills we index.
Its SKILL.md is 3.9 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.
With 1,167 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 8 days ago, so indication-dossier is actively maintained.
- It is released under AGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-02. Automated pattern scan on 2026-10-02. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
indication-dossier compared with similar skills
All 4 of these similar skills score higher than indication-dossier; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| indication-dossier (this skill)by xuzhougeng | 83 | 1.2k | 8d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.6k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install indication-dossier?
- Run
npx skills add xuzhougeng/wisp-science --skill indication-dossier. The install tabs above show the steps for each supported agent. - Which AI agents does indication-dossier work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is indication-dossier safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is AGPL-3.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is indication-dossier still maintained?
- The repository was last updated 8 days ago, so indication-dossier is actively maintained.
Skill content
View source on GitHubname: indication-dossier description: Build a sourced research dossier for one therapeutic indication — patient population, epidemiology, disease biology, standard of care, regulatory path, and landmark trials. Use when the user asks for an indication overview, disease landscape, or trial-design background. license: Apache-2.0
Indication dossier
Five research phases, each writing one waypoint JSON under
<workdir>/waypoints/, ending in a cited Markdown report. Waypoints make the
run resumable: a later invocation reads which files exist and continues from
the first missing one. The only pause for user input is after Phase 1.
The framing rule
Treat the indication as a patient population, not a disease entry. Every section answers a population question — who are these patients, how are they identified and managed, which trials would help them — rather than a textbook question about the condition. Nesting is population nesting: everyone in the child indication is in the parent.
Some inputs are not billable diagnoses at all: a biological state ("immunosenescence"), a non-accepted indication ("ageing"), an iatrogenic population ("GLP-1 induced sarcopenia"). Detect and label this early — it changes the epidemiology evidence base, the regulatory path, and what a "complete" dossier even looks like.
Inputs
| Input | Required | Meaning |
|---|---|---|
| indication | yes | e.g. "sarcopenia", "idiopathic pulmonary fibrosis" |
| additional_context | no | focus areas, parent indication, framing |
| workdir | no | waypoint/report location; default ./do_not_commit/indication-dossier-<slug>/ |
Tooling
Preferred: clinical-trials MCP for CT.gov, pubmed MCP for literature,
WebSearch/WebFetch for FDA guidance, specialty-society guidelines
(NCCN, AASLD, …), and CDC/WHO data; WebFetch for remote PDFs, Read for
local ones; Agent subagents for parallel evidence gathering. When a listed
MCP is not connected, say so and fall back to WebSearch against the public
site itself.
Run protocol
Read references/standards.md first — it defines what counts as a citable
finding, the anti-fabrication rules, and the report style. Phase-by-phase
instructions live in references/phases.md; waypoint formats in
references/waypoints.md.
- Identity. Resolve definition, ICD codes, aliases, parent, diagnostic
status; quick CT.gov landscape count. Write
meta.json. Then show the resolved identity and end the turn asking Proceed / Revise identity / Stop — the expensive phases wait for the answer (Wisp has no separate interactive-question tool, so this is a normal turn end). - Epidemiology. Case definition, prevalence/incidence, demographics,
natural history →
epidemiology.json. - Biology & standard of care. Mechanism, biomarkers, approved
therapies, guidelines, unmet need →
biology_soc.json. - Regulatory & trials. Accepted endpoints, precedents, design
parameters, landmark trials, failures →
regulatory_trials.json. - Synthesis. No new research threads (single targeted gap-fills only).
Write
indication_dossier_report.mdandresearch_output.json, then markprogress.jsoncomplete.
After each of phases 2–5, write the waypoint, emit a ≤200-word summary of findings and open uncertainties, and continue directly.
Resuming
When workdir already contains waypoints: list which phases are complete
(file exists and is non-empty), show the meta summary, and ask which phase to
run. Never overwrite an existing waypoint without confirmation.
Output layout
<workdir>/waypoints/
├── progress.json # loop control, flipped last
├── meta.json # phase 1
├── epidemiology.json # phase 2
├── biology_soc.json # phase 3
├── regulatory_trials.json # phase 4
├── sources_evaluated.json # appended by every phase
├── research_output.json # phase 5, structured
└── indication_dossier_report.md # phase 5, the deliverable
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
