Skip to content
TrustedSkillsbeta
Back to all skills
Not found in its repository. We could not find this skill in its repository when we last checked (1346974, 24 Oct 2026). It is left out of listings and search until a later check finds it again.

Agentdb Learning Plugins

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

Evaluates learning plugin performance within a test database environment, providing detailed feedback for agent training optimization.

Repository

Install on your platform

This skill no longer installs under the name agentdb-learning-plugins. proffesor-for-testing/agentic-qe has no skill named "agentdb-learning-plugins" 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 2026-10-24. 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-learning/SKILL.md
Scanned
1 file, 496 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 enables AI agents to discover and install specific plugins designed for learning within AgentDB environments. It streamlines the setup of educational tools required for testing and training agentic workflows directly from the registry.

When to use it

  • You need to equip an agent with specialized knowledge modules stored in AgentDB.
  • Your testing pipeline requires dynamic installation of learning resources before execution.
  • You are building an automated system that must adapt its capabilities by fetching new plugins on demand.
  • You want to standardize the plugin discovery process across multiple AI agents in a development environment.

Key capabilities

  • Discovery of available learning plugins specifically curated for AgentDB.
  • Direct installation mechanisms for integrating educational tools into agent workflows.
  • Support for agentic quality engineering (Agentic-QE) testing scenarios.

Example prompts

  • "Install the latest data analysis plugin from AgentDB to enhance my research agent's capabilities."
  • "Discover all available learning modules in AgentDB and list those suitable for debugging tasks."
  • "Configure my testing agent to automatically fetch and install security-focused learning plugins before running tests."

Tips & gotchas

Ensure your AI agent has network access to the TrustedSkills registry, as plugin discovery relies on external metadata. This skill is optimized for testing categories; using it for non-testing educational purposes may yield irrelevant results.