Convex Realtime
CheckedConvex Realtime optimizes decision-making by dynamically adjusting probabilities based on current state, improving responsiveness and accuracy in dynamic environments.
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convex-realtime. 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.
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.
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 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-realtime/SKILL.md
- Scanned
- 2 files, 426 lines
About this skill
What it does
The convex-realtime skill enables AI agents to process and respond to real-time data streams, allowing for dynamic updates and immediate feedback. It is designed to handle continuous input from sources such as sensors, user interactions, or live feeds, making it ideal for applications requiring up-to-the-moment insights.
When to use it
- Monitoring live sensor data in industrial automation systems
- Providing instant responses during customer service chat sessions
- Updating dashboards with real-time analytics from streaming data sources
Key capabilities
- Real-time data ingestion and processing
- Low-latency response generation
- Integration with live event streams
Example prompts
- "Process this incoming sensor data stream and alert me if values exceed thresholds."
- "Update the dashboard in real time based on the latest user activity logs."
- "Respond to chat messages as they arrive, providing immediate assistance."
Tips & gotchas
- Ensure your data sources are stable and provide consistent formatting for reliable performance.
- Real-time processing may require additional computational resources depending on the volume of incoming data.