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Agent skill

Prospero Registration Helper

by aipoch in aipoch/medical-research-skills

Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol.

MITAuto-check passedResearch & Science

Install Prospero Registration Helper

skills CLI
$ npx skills add aipoch/medical-research-skills --skill prospero-registration-helper -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills prospero-registration-helper --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Protocol Design/prospero-registration-helper' .claude/skills/prospero-registration-helper && 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
prospero-registration-helper
GitHub stars
1.9k
Token cost
~1.4k tokens
SKILL.md length
668 words
Files
5 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/date_utils.py with… → …
  • The user wants to draft a PROSPERO registration form
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 6 more sections
  • Runs Python scripts from its folder; calls python

What it does

Prospero Registration Helper is an agent skill from aipoch/medical-research-skills. Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO registration form.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_prospero-registration-helper_result.json` and `references/prompt_templates.md`).

It sits in Research & Science. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • The user wants to draft a PROSPERO registration form

Example prompts

  • “Use the prospero-registration-helper skill to assist researchers in generating PROSPERO registration content for meta-analyses from a title and…”
  • “/prospero-registration-helper”

Requirements

  • Python 3

Workflow steps

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

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Prospero Registration Helper loads about 1.4k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 668 words, ~1,411 tokens.

Download SKILL.mdSave it as .claude/skills/prospero-registration-helper/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
prospero-registration-helper
description
Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO registration form.
license
MIT
author
AIPOCH

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 prospero registration content for meta-analyses from a title and optional protocol. use when the user wants to draft a prospero 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 prospero-registration-helper package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO 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

bash
cd "20260316/scientific-skills/Protocol Design/prospero-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.
    • Check if a Protocol text is provided.

  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/prompt_templates.md to generate the registration sections.
    • Step 3.1: Basic Details: Use the "Review Title and Basic Details" prompt. Extract PICO (Population, Intervention, Comparison, Outcome) from the title.
    • Step 3.2: Eligibility Criteria: Use the "Eligibility Criteria" prompt.
    • Step 3.3: Timeline & Methods: Use the "Timeline and Methods" prompt. Fill in the dates calculated in Step 2.
Show full SKILL.md (216 more words)Show less

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
python scripts/date_utils.py

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of prospero-registration-helper and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

prospero-registration-helper only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

© aipoch, 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 4 other files (scripts, references) in scientific-skills/Protocol Design/prospero-registration-helper of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_prospero-registration-helper_result.json
  • references/prompt_templates.md
  • scripts/date_utils.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Prospero Registration Helper 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.

Prospero Registration Helper compared with similar skills
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Prospero Registration Helper this skillaipoch/medical-research-skills1.9k—~1.4kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Prospero Registration Helper

What does Prospero Registration Helper do?

Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Prospero Registration Helper is an agent skill from aipoch/medical-research-skills. Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol.

When should I use Prospero Registration Helper?

Prospero Registration Helper fits situations like: the user wants to draft a PROSPERO registration form.

How do I install Prospero Registration Helper in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill prospero-registration-helper -a claude-code`. Or copy the skill folder (scientific-skills/Protocol Design/prospero-registration-helper in aipoch/medical-research-skills) into .claude/skills/prospero-registration-helper in your project. Claude Code loads it when a task matches its description.

How do I install Prospero Registration Helper in Codex?

Run `npx skills add aipoch/medical-research-skills --skill prospero-registration-helper -a codex`. Or copy the skill folder (scientific-skills/Protocol Design/prospero-registration-helper in aipoch/medical-research-skills) into .agents/skills/prospero-registration-helper in your project. Codex loads it when a task matches its description.

Can I use Prospero Registration Helper 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 aipoch/medical-research-skills --skill prospero-registration-helper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prospero-registration-helper, .gemini/skills/prospero-registration-helper, .github/skills/prospero-registration-helper and .opencode/skills/prospero-registration-helper in your project.

What does Prospero Registration Helper need to run?

Going by SKILL.md and its folder, Prospero Registration Helper needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Prospero Registration Helper 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 Prospero Registration Helper 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Prospero Registration Helper use?

Prospero Registration Helper is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prospero Registration Helper use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Prospero Registration Helper?

Skills that share tags, products or a category with Prospero Registration Helper: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prospero Registration Helper?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.