Data Client Schema
CheckedHelps with data, client-side, schema design as part of agent workflows workflows.
Install on your platform
data-client-schema. SKILL.md frontmatter is not valid YAML, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-21. We don't show a command we know will fail.
What we know about this skill
Publisher
reactive
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 reactive/data-client at 4ae608081e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4ae608081e
- Scanned
- 1 file, 186 lines
About this skill
What it does
This skill provides a schema definition for the data-client tool. It allows AI agents to understand and interact with data sources in a structured way, defining expected fields and types. The skill ensures consistent data handling by enforcing these predefined structures during data retrieval or manipulation tasks.
When to use it
- When integrating with APIs that require specific data formats.
- To ensure consistency when extracting data from multiple sources.
- For building AI agents that need to process structured data, like financial reports or product catalogs.
- When creating workflows that involve transforming and validating data.
Key capabilities
- Schema definition for
data-clienttool. - Enforces structure during data retrieval.
- Supports consistent data handling.
Example prompts
- "Use the data client schema to retrieve customer information."
- "Validate this JSON against the data client schema."
- "Show me the expected fields for a product record according to the data client schema."
Tips & gotchas
The data-client tool must be installed and configured separately for this skill to function correctly. Ensure that the agent has access to the defined schema before attempting any data operations.