Skip to content
TrustedSkillsbeta
Back to all skills

Agentdb Advanced Features

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

Evaluates advanced AgentDB features through complex test scenarios, providing detailed reports for optimization and validation.

Install on your platform

This skill no longer installs under the name agentdb-advanced-features. proffesor-for-testing/agentic-qe has no skill named "agentdb-advanced-features" 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.

Scanned
1 file, 505 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 provides advanced capabilities for interacting with AgentDB, enabling AI agents to execute complex database queries and manage sophisticated data operations beyond basic CRUD tasks. It empowers agents to handle intricate data retrieval, manipulation, and analysis scenarios within the AgentDB environment.

When to use it

  • Executing complex SQL queries that require joins, aggregations, or subqueries for deep data insights.
  • Performing advanced data transformations and manipulations directly within the database context.
  • Managing specialized database configurations or accessing non-standard data structures.
  • Automating intricate reporting workflows that rely on multi-step database interactions.

Key capabilities

  • Advanced query execution support for complex data retrieval needs.
  • Support for sophisticated data manipulation operations beyond simple insert, update, or delete actions.
  • Integration with AgentDB's extended feature set for enhanced agent autonomy in data tasks.

Example prompts

  • "Run a complex aggregation query to summarize sales data by region and product category."
  • "Perform an advanced join operation across multiple tables to identify customer churn patterns."
  • "Execute a multi-step data transformation pipeline within AgentDB to clean and restructure legacy records."

Tips & gotchas

Ensure your AI agent has appropriate permissions for advanced database operations, as these features may require elevated access levels. Verify that the specific complex queries you intend to run are supported by your current AgentDB version to avoid execution errors.