Performance Oracle
CheckedProvides data-driven performance insights and recommendations to optimize workflows within udecode's platform.
Install on your platform
performance-oracle. udecode/plate has no skill named "performance-oracle" any more. It was renamed, moved or deleted upstream.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-30. We don't show a command we know will fail.
What we know about this skill
Publisher
udecode
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 udecode/plate at 92b1eb95e0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 92b1eb95e0
- Scanned
- 1 file, 141 lines
About this skill
What it does
The udecode-performance-oracle skill provides a mechanism to evaluate and benchmark the performance of AI agents. It allows users to define specific tasks or scenarios, then assesses an agent's execution against those criteria. This enables data-driven optimization and comparison of different AI agent configurations.
When to use it
- Agent Optimization: Identify bottlenecks in an agent’s workflow by measuring its time taken for various steps.
- A/B Testing: Compare the performance of two different agent versions or prompts on a standardized task.
- Regression Testing: Ensure that changes made to an agent don't negatively impact existing capabilities.
- Performance Monitoring: Track key metrics over time to identify degradation in agent performance.
Key capabilities
- Task definition and specification
- Agent execution benchmarking
- Performance metric measurement
- Comparative analysis of agent performance
Example prompts
- "Evaluate the agent's response time for summarizing this article: [article link]"
- "Compare the accuracy of Agent A and Agent B when answering these five questions."
- "Benchmark the agent’s ability to follow instructions in this complex scenario."
Tips & gotchas
The skill requires clear and well-defined task specifications for accurate performance evaluation. Ambiguous or poorly defined tasks can lead to inconsistent results and inaccurate benchmarking.