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Alphafold Database

Listed
aminoanalytica·vlatest·database·Apache-2.0

Access AlphaFold protein structure predictions and related data from a comprehensive aminoanalytica curated database.

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 aminoanalytica/amina-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

aminoanalytica

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: alphafold.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.ukundeclared

    What it found (3 of 7)

    • skills/alphafold-database/SKILL.md:20contacts alphafold.ebi.ac.uk
      resp = requests.get("https://alphafold.ebi.ac.uk/api/prediction/P00520")
    • skills/alphafold-database/SKILL.md:60contacts alphafold.ebi.ac.uk
      resp = requests.get(f"https://alphafold.ebi.ac.uk/api/prediction/{uniprot_id}")
    • skills/alphafold-database/scripts/alphafold_utils.py:10contacts alphafold.ebi.ac.uk
      endpoint = f"https://alphafold.ebi.ac.uk/api/prediction/{uniprot_id}"

  • 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 aminoanalytica/amina-skills at e0ff001af3.

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

Commit
e0ff001af3
Manifest
skills/alphafold-database/SKILL.md
Scanned
4 files, 478 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

The aminoanalytica-alphafold-database skill provides access to a database of protein structure predictions generated by AlphaFold. It allows users to query this data for specific proteins, retrieve their predicted structures, and analyze related information. This resource is valuable for researchers in fields like biology, drug discovery, and materials science.

When to use it

  • Protein Structure Retrieval: Quickly obtain the 3D structure prediction of a protein given its name or UniProt ID.
  • Research & Analysis: Use predicted structures for molecular modeling, simulations, or comparative analysis with other proteins.
  • Drug Discovery: Identify potential drug targets and understand their structural properties.
  • Educational Purposes: Visualize and learn about protein structure prediction techniques.

Key capabilities

  • Protein Structure Prediction Data Access
  • Querying by Protein Name
  • Querying by UniProt ID
  • Retrieval of Predicted 3D Structures

Example prompts

  • "Get the AlphaFold predicted structure for 'SARS-CoV-2 spike protein'."
  • "What is the predicted structure of the protein with UniProt ID P04637?"
  • "Find the AlphaFold prediction for human insulin."

Tips & gotchas

The accuracy of the predictions depends on the quality of data available to AlphaFold. Results should be interpreted cautiously and validated against experimental data when possible.