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Convex Agents

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waynesutton·vlatest·backend·Apache-2.0

Automates complex workflows and decision-making using advanced optimization techniques and custom agent configurations.

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This skill no longer installs under the name convex-agents. 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 2026-10-13. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

waynesutton

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 waynesutton/convexskills at 8ef49c9667.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8ef49c9667
Manifest
skills/convex-agents/SKILL.md
Scanned
2 files, 501 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

The convex-agents skill enables AI agents to interact with and utilize tools from the Convex platform, allowing them to perform actions such as querying databases, managing data, and executing functions within a serverless environment. It provides seamless integration between AI logic and backend operations.

When to use it

  • When you need an AI agent to access or manipulate data stored in a Convex database.
  • To automate workflows that involve real-time data processing using Convex functions.
  • When building applications that require scalable, serverless infrastructure managed through Convex.

Key capabilities

  • Integration with Convex databases for querying and updating records.
  • Execution of Convex functions from within AI agent logic.
  • Support for real-time data synchronization between agents and backend systems.

Example prompts

  • "Query the user activity log in the Convex database for today."
  • "Run the 'sendNotification' function with the provided message and recipient details."
  • "Fetch all records from the 'projects' collection where status is 'active'."

Tips & gotchas

  • Ensure your AI agent has proper authentication credentials to access Convex resources.
  • Be mindful of rate limits or usage caps on the Convex platform when designing workflows.