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Alphafold Database

Checked
microck·vlatest·database

Access and query microck's curated AlphaFold protein structure database for rapid data retrieval and analysis.

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 microck/ordinary-claude-skills --skill alphafold-database -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

microck

Taken from the source listing. We haven't verified who controls this account.

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 microck/ordinary-claude-skills at 1056d293d4.

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

Commit
1056d293d4
Manifest
skills_all/alphafold-database/SKILL.md
Scanned
6 files, 1,455 lines
Copies in repo
3 — all of them scanned
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 provides access to the AlphaFold Protein Structure Database, allowing you to query and retrieve information about protein structures. It enables searching for proteins based on various identifiers like UniProt IDs or names, and retrieving predicted 3D structures and related data. The database contains predictions for a vast number of known sequences.

When to use it

  • Research: Quickly find structural information for specific proteins in your research projects.
  • Education: Illustrate protein structure concepts with real-world examples from the AlphaFold database.
  • Drug Discovery: Identify potential drug targets and analyze their structures.
  • Bioinformatics Analysis: Integrate protein structure data into larger bioinformatics workflows.

Key capabilities

  • Protein Structure Retrieval: Obtain predicted 3D structures for proteins.
  • Search by UniProt ID: Locate proteins using their unique identifiers.
  • Search by Protein Name: Find proteins based on common names or descriptions.
  • Data Access: Retrieve associated metadata and experimental data (if available).

Example prompts

  • "Find the predicted structure for UniProt ID P04637."
  • "What is the AlphaFold prediction for human insulin?"
  • “Give me information on the protein with name ‘hemoglobin’ from the database.”

Tips & gotchas

  • Ensure your prompts are specific and include valid identifiers (UniProt IDs) when possible. The accuracy of the data depends on the completeness of the AlphaFold database.