Pdb Database
ListedAccess and query PDB protein structure data via a microck AI agent, enabling structural analysis workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add microck/ordinary-claude-skills --skill pdb-database -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
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.
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
- Scanned
- 0 files
About this skill
What it does
This skill allows AI agents to interact with a PostgreSQL database. Specifically, it enables querying and potentially modifying data within that database using natural language prompts. It provides a simplified interface for accessing relational data without requiring direct SQL knowledge.
When to use it
- Data Retrieval: You need to quickly extract specific information from a structured dataset stored in a PostgreSQL database (e.g., "What are the names of all customers in California?").
- Report Generation: Generate summaries or reports based on data residing in a PostgreSQL database (e.g., “Give me a count of orders per product category”).
- Data Validation: Check for specific conditions within your database using natural language queries (e.g., "Are there any overdue invoices?").
- Simple Data Updates: Perform basic updates to data, such as changing customer addresses or updating inventory levels.
Key capabilities
- PostgreSQL Database Interaction
- Natural Language Querying
- Data Retrieval
- Potential for Data Modification (limited scope)
Example prompts
- "Show me all products with a price greater than $50."
- "How many orders were placed last month?"
- "Update the shipping address for customer ID 123 to '456 Main St'."
Tips & gotchas
- Requires access to a PostgreSQL database and appropriate credentials.
- The scope of data modification may be limited depending on configuration.