Observable Framework Sql
CheckedThis skill allows you to execute SQL queries within Observable notebooks, enabling data manipulation and analysis directly from your 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 spqw/skill-observable-framework --skill observable-framework-sql -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
spqw
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 spqw/skill-observable-framework at 33944bf4e0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 33944bf4e0
- Scanned
- 1 file, 170 lines
About this skill
What it does
This skill allows AI agents to interact with SQL databases using the Observable Framework. It enables querying, data manipulation (inserting, updating, deleting), and schema inspection within a structured environment. The agent can execute SQL queries directly against a database connection provided as input.
When to use it
- Data Analysis: An agent needs to extract specific insights from a relational database for reporting or further analysis.
- Automated Reporting: Generate regular reports by querying data and formatting the results into a readable format.
- Database Management: Perform simple administrative tasks like updating records or creating new entries in a database.
- Data Integration: Retrieve data from one database and transform it for use in another system.
Key capabilities
- SQL query execution
- Schema inspection (listing tables, columns)
- Data manipulation (insert, update, delete operations)
- Observable Framework integration
Example prompts
- "Run the SQL query 'SELECT * FROM customers WHERE city = 'London''."
- "List all the tables in the database."
- "Insert a new row into the 'orders' table with these values: [order_id, customer_id, order_date]."
Tips & gotchas
- Requires a valid database connection string to be provided. Ensure proper credentials and permissions are configured for the agent accessing the database.