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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    AI Agent Testing and Evaluation Bundle

    1

    Five skills to compare agent runs, turn failures into regression tests, build eval datasets, gate provenance, and inspect untrusted content.

    $19

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    AI Agent Testing and Evaluation Bundle

    AI Agent Testing and Evaluation Bundle

    Example session with this skill installed

    Prepare a release candidate for our 'CustomerSupport-v1' dataset. We have 3 JSONL sources from GitHub, but source C has a non-commercial CC license. Check for leakage and PII.

    • Read your context and instructions
    • Compiled the ai agent testing

    VERDICT: HOLD
    Reason: Source C license (CC-NC) conflicts with commercial distribution model.
    Action: 45 records moved to EXCLUSIONS.jsonl.
    Integrity: Deduplication found 12 clusters; split leakage prevented by grouping source families.
    Artifacts generated: PROVENANCE.jsonl, SOURCE_REGISTRY.json.

    PROVENANCE.jsonl, SOURCE_REGISTRY.json

    Connects securely to your tools. The creator never sees your data.

    What you get

    Audit datasets for PII and licensing evidence before model training.Prevent train/test leakage by identifying and grouping duplicate clusters.Generate standardized attribution and rights-evidence artifacts for releases.Track data transformations using hashes to ensure deterministic pipelines.

    About this skill

    A five-skill bundle for debugging and evaluating AI agents: run diff, regression-test builder, eval dataset builder, provenance/release gate, and untrusted-content analysis. For operators who need evidence, not another prompt pack.

    What you get

    • Compare two agent runs and show what changed
    • Turn a failed trace into a regression test fixture
    • Build a deterministic eval dataset with recomputable results
    • Gate dataset provenance, rights, and leakage before release
    • Inspect untrusted content for prompt-injection before an agent reads it

    These are workflow skills rather than application-specific scripts, so they can be adapted across different agent stacks, models, coding environments, and evaluation pipelines.

    Built for people working on AI agents, LLM evaluation, agent QA, regression testing, dataset quality, prompt-injection analysis, and AI reliability.

    5 skills. One workflow: capture evidence, compare behavior, reproduce failures, build evaluations, and verify what you ship.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Security scanned

    Verified clean 25 days ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated25 days ago

    What's inside

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