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MicrosoftKnown publishermicrosoft/ArgusAgent/plugins/argus/skills/target-disease-research/SKILL.md

target-disease-research

Skill140 starsChanged 27 days agoMITView on GitHub

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.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Stop if the request contains patient-identifying information and ask for a de-identified research question.

    line 14
  2. Very specific:

    Call argus_message exactly once with an objective that asks Manager to select the medical vertical (shipped by the argus-verticals package) …

    line 19
  3. Distinctive:

    Treat PubMed metadata as metadata, not full-text verification.

    line 26
  4. Distinctive:

    Only describe a dossier as reviewed when Argus returns a Reviewer-certified state.

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
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.
  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.

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