Clinpgx Database
ListedConnects, queries, and manipulates PostgreSQL databases using advanced AI techniques for efficient data management.
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 clinpgx-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.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.clinpgx.org.
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
api.clinpgx.orgundeclaredgithub.comsource hostWhat it found (3 of 93)
- skills_all/clinpgx-database/SKILL.md:63contacts api.clinpgx.org
response = requests.get("https://api.clinpgx.org/v1/gene/CYP2D6") - skills_all/clinpgx-database/SKILL.md:67contacts api.clinpgx.org
response = requests.get("https://api.clinpgx.org/v1/gene", - skills_all/clinpgx-database/SKILL.md:85contacts api.clinpgx.org
response = requests.get("https://api.clinpgx.org/v1/chemical/PA448515") # Warfarin
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 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
- 6 files, 1,737 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill allows AI agents to interact with and query a PostgreSQL database. It facilitates retrieving clinical data, executing SQL queries, and potentially updating information within the database. The agent can use this skill to answer questions based on structured clinical records or perform analysis tasks requiring database access.
When to use it
- Clinical Data Retrieval: An agent needs to find specific patient records based on criteria like diagnosis, medication, or date of service.
- Report Generation: Generate summaries and reports from data stored in the PostgreSQL database.
- Data Analysis: Perform basic statistical analysis or identify trends within clinical datasets.
- Automated Tasks: Automate tasks that require querying or updating information in a clinical database, such as generating patient lists for outreach programs.
Key capabilities
- PostgreSQL Database Interaction
- SQL Query Execution
- Data Retrieval
- Potential Data Update (implementation dependent)
Example prompts
- "Find all patients diagnosed with diabetes and over the age of 65."
- "What is the average length of stay for patients admitted with pneumonia?"
- "List medications prescribed to patient ID 12345."
Tips & gotchas
- Requires access credentials (username, password) to connect to the PostgreSQL database.
- The agent's SQL queries should be carefully validated to prevent unintended data modifications or security vulnerabilities.