lbx154/argus/target-disease-research

Claude Code and agent skill by lbx154/argus

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Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install lbx154/argus/target-disease-research

SKILL.md

Target-Disease Research

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.

  1. Stop if the request contains patient-identifying information and ask for a

de-identified research question.

  1. 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.

  1. 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.

  1. Require source IDs and URLs, exact retrieval/query provenance, conflicts,

failures, missing fields, and a separate infrastructure-failure count.

  1. 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.

  1. 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.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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