Official agent skill

Target Disease Research

by microsoft in microsoft/ArgusAgent

A skill your agent uses when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable…

OfficialMITAuto-check passedWriting & Content

Install Target Disease Research

skills CLI
$ npx skills add microsoft/ArgusAgent --skill target-disease-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/ArgusAgent target-disease-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/ArgusAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/argus/skills/target-disease-research .claude/skills/target-disease-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
target-disease-research
GitHub stars
135
Token cost
~477 tokens
SKILL.md length
206 words
Files
2
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable…

  • Works in 7 steps: Require a target and disease. Capture… → Stop if the request contains… → Reuse only the project-resolution part… → …
  • Researching a biomedical target and disease relationship
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Clinical translation

What it does

Target Disease Research is an agent skill from microsoft/ArgusAgent, published by the product's own GitHub organization. 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.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Writing & Content, covering Translation. The repository describes itself as: A persistent, reviewed multi-agent runtime for long-horizon research and engineering. The licence is MIT.

When your agent uses it

  • Researching a biomedical target and disease relationship
  • Clinical translation
  • Failed programs
  • Competitive trials

Example prompts

  • “/target-disease-research”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Require a target and disease. Capture aliases, population or subtype, date
  2. Stop if the request contains patient-identifying information and ask for a
  3. Reuse only the project-resolution part of argus-run: call
  4. Call argus_message exactly once with an objective that asks Manager to
  5. Require source IDs and URLs, exact retrieval/query provenance, conflicts,
  6. Treat PubMed metadata as metadata, not full-text verification. Treat trial
  7. Return the project ID. Use argus-status for later progress or artifact

What it can do on your machine

Read from SKILL.md and the folder at commit 746f76b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Target Disease Research loads about 477 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 206 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~477

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/ArgusAgent at commit 746f76b, republished under its MIT licence (© microsoft). 206 words, ~477 tokens.

Download SKILL.mdSave it as .claude/skills/target-disease-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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.

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 built-in medical vertical 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.

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/argus/skills/target-disease-research of microsoft/ArgusAgent.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 746f76b

Compare with similar skills

Target Disease Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Target Disease Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Target Disease Research this skillmicrosoft/ArgusAgent135—~477Automated safety check: PassMIT
Humanities Writing Companiontizzy916/humanities-writing-companion435—~3.4kAutomated safety check: PassCC-BY-NC-4.0
China Travel Kittczyliu/china-travel-kit194—~1.3kAutomated safety check: PassMIT
Academic Prose De-AI Editorheise3/academic-deai251—~1.4kAutomated safety check: PassMIT
Ainiee Next TranslationShadowLoveElysia/AiNiee-Next175—~3.3kAutomated safety check: PassAGPL-3.0
Benchmark Translateshapeshift/web206—~1.6kAutomated safety check: PassMIT

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Questions about Target Disease Research

What does Target Disease Research do?

A skill your agent uses when researching a biomedical target and disease relationship, mechanism, human evidence, clinical translation, safety, failed programs, competitive trials, or an auditable…. Target Disease Research is an agent skill from microsoft/ArgusAgent, published by the product's own GitHub organization. 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.

When should I use Target Disease Research?

Target Disease Research fits situations like: researching a biomedical target and disease relationship; clinical translation; failed programs; competitive trials.

How do I install Target Disease Research in Claude Code?

Run `npx skills add microsoft/ArgusAgent --skill target-disease-research -a claude-code`. Or copy the skill folder (plugins/argus/skills/target-disease-research in microsoft/ArgusAgent) into .claude/skills/target-disease-research in your project. Claude Code loads it when a task matches its description.

How do I install Target Disease Research in Codex?

Run `npx skills add microsoft/ArgusAgent --skill target-disease-research -a codex`. Or copy the skill folder (plugins/argus/skills/target-disease-research in microsoft/ArgusAgent) into .agents/skills/target-disease-research in your project. Codex loads it when a task matches its description.

Can I use Target Disease Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/ArgusAgent --skill target-disease-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/target-disease-research, .gemini/skills/target-disease-research, .github/skills/target-disease-research and .opencode/skills/target-disease-research in your project.

What does Target Disease Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Target Disease Research is instructions for the agent only.

Does Target Disease Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Target Disease Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Target Disease Research use?

Target Disease Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Target Disease Research use?

About 477 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Target Disease Research?

Skills that share tags, products or a category with Target Disease Research: Humanities Writing Companion (tizzy916/humanities-writing-companion, 435 stars), China Travel Kit (tczyliu/china-travel-kit, 194 stars), Academic Prose De-AI Editor (heise3/academic-deai, 251 stars) and Ainiee Next Translation (ShadowLoveElysia/AiNiee-Next, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Target Disease Research?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/ArgusAgent, which has 135 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 2, 2026.

Source: microsoft/ArgusAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.