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inplasy-registration-helper

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Assists researchers in generating INPLASY registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a INPLASY registration form.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/aipoch/medical-research-skills/blob/HEAD/scientific-skills/Protocol%20Design/INPLASY-registration-helper/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/inplasy-registration-helper/. Do not write files or run scripts until I approve.

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Source: https://github.com/aipoch/medical-research-skills

PROSPERO Registration Helper

This skill helps researchers draft a PROSPERO registration form for a meta-analysis. It generates the required fields based on a study title and an optional protocol.

When to Use

  • Use this skill when you need assists researchers in generating inplasy registration content for meta-analyses from a title and optional protocol. use when the user wants to draft a inplasy registration form in a reproducible workflow.
  • Use this skill when a protocol design task needs a packaged method instead of ad-hoc freeform output.
  • Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
  • Use this skill when scripts/date_utils.py is the most direct path to complete the request.
  • Use this skill when you need the INPLASY-registration-helper package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Assists researchers in generating INPLASY registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a INPLASY registration form.
  • Packaged executable path(s): scripts/date_utils.py.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Protocol Design/INPLASY-registration-helper"
python -m py_compile scripts/date_utils.py
python scripts/date_utils.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/date_utils.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/date_utils.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Workflow

To generate the registration draft, follow these steps:

  1. Analyze Input:

    • Identify the Title of the review.

  2. Calculate Timeline:

    • Run scripts/date_utils.py to obtain the Start Date (today) and Anticipated Completion Date (today + 28 days).

  3. Generate Content:

    • Use the prompts in references/registration_templates.md to generate the registration sections.

Quality Rules

  • Language: All generated content must be in English.
  • Placeholder Handling:
    • Keep {}: Content inside curly braces {} (e.g., {Select the country...}) must be preserved exactly as is. These often represent dropdown options in the PROSPERO system.
    • Fill <>: Content inside angle brackets <> must be replaced with your AI-generated analysis based on the input title and protocol.
  • PICO Extraction: Ensure PICO elements are clearly identified and used to inform the search strategy and eligibility criteria.

Tools

Date Utility

Use this script to get the standard timeline dates.

python scripts/date_utils.py