argus-run
Use when work needs persistent multi-step execution, independent review, resumable project state, or long-running research and…
Use when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable pharmaceutical decision dossier.
$ npx -y skills add microsoft/ArgusAgent --skill target-disease-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/target-disease-researchContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable pharmaceutical decision dossier.
name: target-disease-research description: Use when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable pharmaceutical decision dossier.
This workflow supports pharmaceutical research and portfolio decisions. It does not diagnose a patient, select treatment, or assert that a new drug was created.
1. Require a target and disease. Capture aliases, population or subtype, date bounds, intervention class, exclusions, decision question, and output language when supplied. 2. Stop if the request contains patient-identifying information and ask for a de-identified research question. 3. Reuse only the project-resolution part of `argus-run`: call `argus_project_list` for the exact work directory, then reuse that project or call `argus_project_create`. Do not dispatch while resolving the project. 4. Call `argus_message` exactly once with an objective that asks Manager to select the `medical` vertical (shipped by the `argus-verticals` package) and to produce: `medical/evidence.jsonl`, `medical/evidence_matrix.csv`, `medical/target_disease_memo.md`, and `medical/review.json`. 5. Require source IDs and URLs, exact retrieval/query provenance, conflicts, failures, missing fields, and a separate infrastructure-failure count. 6. Treat PubMed metadata as metadata, not full-text verification. Treat trial registration as trial existence/design, not evidence of efficacy. Qualify cross-trial comparisons unless population, endpoint, comparator, follow-up, treatment line, and data cutoff align. 7. Return the project ID. Use `argus-status` for later progress or artifact inspection instead of polling in the same turn.
Only describe a dossier as reviewed when Argus returns a Reviewer-certified state. Preserve negative and contradictory evidence.
A persistent, reviewed multi-agent runtime for long-horizon research and engineering.
Use when work needs persistent multi-step execution, independent review, resumable project state, or long-running research and…
Use when checking an Argus project's progress, pending questions, active role, diagnostics, selected artifacts, intervention…