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Clinical Trial Protocol Skill

Official
anthropics·vlatest·other

This skill extracts key details from clinical trial protocols to quickly understand study design and eligibility criteria – boosting research efficiency.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/life-sciences --skill clinical-trial-protocol-skill -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/life-sciences at e96556b637.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
e96556b637
Manifest
clinical-trial-protocol-skill/SKILL.md
Scanned
11 files, 7,337 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to understand, analyze, and generate clinical trial protocols. It can extract key information from existing protocols, identify potential issues or inconsistencies, and draft new protocol sections based on provided requirements. The tool aims to streamline the often complex and time-consuming process of clinical trial development.

When to use it

  • Protocol Review: Quickly assess a draft protocol for completeness and adherence to regulatory guidelines.
  • Section Generation: Generate specific sections of a clinical trial protocol, such as inclusion/exclusion criteria or statistical analysis plans.
  • Data Extraction: Extract key data points (e.g., sample size, endpoints) from existing protocols for comparison or reporting.
  • Consistency Checks: Identify inconsistencies between different parts of a protocol to ensure accuracy and clarity.

Key capabilities

  • Protocol understanding
  • Information extraction
  • Drafting new sections
  • Identifying inconsistencies

Example prompts

  • "Summarize the inclusion/exclusion criteria from this clinical trial protocol." (followed by providing the protocol text)
  • "Generate a section on adverse event reporting for a Phase 3 oncology trial."
  • “Compare the primary endpoints of these two protocols and highlight any differences.”

Tips & gotchas

The skill's effectiveness depends heavily on the clarity and completeness of the input clinical trial protocol. Providing well-structured and formatted documents will yield better results.