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Agentdb Performance Optimization

Checked
proffesor-for-testing·vlatest·testing·MIT

Helps with testing, performance optimization, optimization as part of testing, debugging, and quality assurance workflows.

Repository

Install on your platform

This skill no longer installs under the name agentdb-performance-optimization. proffesor-for-testing/agentic-qe has no skill named "agentdb-performance-optimization" 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 2026-10-23. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

proffesor-for-testing

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 proffesor-for-testing/agentic-qe at 124d8c735e.

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

Commit
124d8c735e
Manifest
.claude/skills/agentdb-optimization/SKILL.md
Scanned
1 file, 454 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.
What each check looks for →

About this skill

What it does

This skill, authored by proffesor-for-testing, focuses on optimizing the performance of AgentDB. It allows for discovery and installation of skills specifically designed to improve database efficiency within AI agent workflows. The tool aims to enhance speed and resource utilization when interacting with AgentDB data.

When to use it

  • When experiencing slow response times from your AI agents accessing AgentDB.
  • To proactively identify bottlenecks in AgentDB queries and operations.
  • During development cycles to ensure efficient database interactions as agent complexity grows.
  • For ongoing maintenance of an AI system, ensuring optimal performance over time.

Key capabilities

  • AgentDB Performance Optimization
  • Skill Discovery & Installation
  • Sentinel API Testing (implied)

Example prompts

  • "Install the latest AgentDB performance optimization skill."
  • "What skills are available for improving AgentDB query speed?"
  • "Run a test to identify slow queries in my AgentDB instance."

Tips & gotchas

This skill requires an existing AgentDB environment. The specific improvements and optimizations will depend on the installed skills, so review their documentation carefully after installation.