Postgresql
CheckedConnects and queries PostgreSQL databases using secure, automated connections managed by bagelhole's infrastructure.
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 bagelhole/devops-security-agent-skills --skill postgresql -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
bagelhole
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 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
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 bagelhole/devops-security-agent-skills at 0365f57a07.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0365f57a07
- Scanned
- 1 file, 320 lines
About this skill
What it does
This skill allows AI agents to interact with and manage PostgreSQL databases. It enables querying data, executing SQL commands, and performing database administration tasks directly through natural language prompts. The agent can retrieve information, modify data, and automate routine database operations.
When to use it
- Data Analysis: Quickly extract insights from a PostgreSQL database without needing to write complex SQL queries manually.
- Database Administration: Automate tasks like creating tables, updating schemas, or backing up data.
- Application Development: Generate SQL scripts for application development and testing purposes based on natural language requests.
- Troubleshooting: Diagnose database issues by executing diagnostic queries and analyzing results.
Key capabilities
- SQL Query Execution: Executes arbitrary SQL queries against a PostgreSQL database.
- Data Retrieval: Retrieves data from tables using natural language descriptions.
- Database Administration: Performs administrative tasks like table creation and schema updates.
Example prompts
- "Show me all customers in California."
- "Create a new table called 'products' with columns for name, price, and description."
- "Backup the database to a file named 'backup.sql'."
Tips & gotchas
- Requires access credentials (username/password) to connect to the PostgreSQL database.
- The agent’s understanding of SQL syntax is dependent on the underlying model; complex queries may require refinement.