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Alphafold Database

Listed
jackspace·vlatest·database·MIT

Access and query Jackspace's curated AlphaFold protein structure database for research 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 jackspace/claudeskillz --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

jackspace

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 6 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: alphafold.ebi.ac.uk, biopython.org, cloud.google.com, doi.org, www.ebi.ac.uk….

    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

    alphafold.ebi.ac.ukundeclaredwww.uniprot.orgundeclaredwww.ebi.ac.ukundeclaredcloud.google.comundeclareddoi.orgundeclaredbiopython.orgundeclaredgithub.comsource host

    What it found (3 of 17)

    • skills/scientific-db-alphafold-database/SKILL.json:8contacts alphafold.ebi.ac.uk
      "content": "### 1. Searching and Retrieving Predictions\r\n\r\n**Using Biopython (Recommended):**\r\n\r\nThe Biopython library provides the simplest interface …
    • skills/scientific-db-alphafold-database/SKILL.json:8contacts alphafold.ebi.ac.uk
      "content": "### 1. Searching and Retrieving Predictions\r\n\r\n**Using Biopython (Recommended):**\r\n\r\nThe Biopython library provides the simplest interface …
    • skills/scientific-db-alphafold-database/SKILL.json:8contacts alphafold.ebi.ac.uk
      "content": "### 1. Searching and Retrieving Predictions\r\n\r\n**Using Biopython (Recommended):**\r\n\r\nThe Biopython library provides the simplest interface …

  • 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 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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/scientific-db-alphafold-database/SKILL.md
Scanned
2 files, 494 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 provides access to the AlphaFold Protein Structure Database. It allows users to query and retrieve protein structure information, including predicted 3D structures and related data. This database is a valuable resource for researchers in biology, medicine, and materials science.

When to use it

  • Researching protein structures: Quickly find predicted structures for specific proteins of interest.
  • Understanding disease mechanisms: Explore how structural changes in proteins might contribute to diseases.
  • Drug discovery: Identify potential drug targets based on protein structure information.
  • Materials science applications: Investigate the structural properties of proteins for use in novel materials.

Key capabilities

  • Access to AlphaFold Protein Structure Database data
  • Protein structure retrieval
  • Prediction of 3D structures
  • Related data access

Example prompts

  • "Find the predicted structure for human insulin."
  • "What is the AlphaFold score for SARS-CoV-2 spike protein?"
  • "Retrieve structural information about hemoglobin."

Tips & gotchas

The database contains predictions, not experimentally determined structures. Always consider the confidence scores associated with each prediction when interpreting results.