Acsets Algebraic Databases
CheckedThis skill generates algebraic database schemas and queries from textual descriptions, streamlining data modeling and query creation for complex datasets.
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 plurigrid/asi --skill acsets-algebraic-databases -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
plurigrid
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 plurigrid/asi at 293ce9f76e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 293ce9f76e
- Scanned
- 2 files, 1,183 lines
About this skill
What it does
This skill enables AI agents to interact with and query algebraic databases. It provides capabilities for constructing queries, retrieving data based on complex relationships defined within the database schema, and potentially updating or modifying data. The tool is designed specifically for working with datasets structured using algebraic principles.
When to use it
- Analyzing scientific data where relationships are mathematically defined.
- Querying knowledge graphs that represent entities and their connections through algebraic expressions.
- Building AI systems that require reasoning about complex, relational data structures.
- Automating tasks involving the manipulation of datasets with intricate dependencies.
Key capabilities
- Algebraic database querying
- Data retrieval based on relationships
- Schema understanding (implicit)
- Potential for data modification (unspecified)
Example prompts
- "Retrieve all entities connected to 'X' via a path defined by the algebraic expression 'A + B'."
- "Show me the results of applying this transformation: [algebraic expression] to the dataset."
- “What are the properties of nodes linked through this equation?”
Tips & gotchas
The skill requires familiarity with the underlying algebraic database schema. Successful use depends on providing valid and well-formed algebraic expressions for querying or manipulation.