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Giskard-AI

@giskard-ai source repo

10 published skills

  1. Setup Env · giskard-ai
    Set up the full workspace dev environment. Use when the user wants to install dependencies, sync libs, or prepare the environment.
    0 installs
  2. Giskard Oss Quality Gate · giskard-ai
    Run the full code quality gate for the giskard-oss monorepo—format, lint, typecheck, and unit tests across all packages. Use when finishing a feature, before opening a PR, or when the user asks to check quality or run the gate.
    0 installs
  3. Refresh Oss Docs · giskard-ai bundle
    Use when the Giskard OSS documentation needs updating against a giskard-oss revision (main or a tag), when giskard-checks has been released or bumped, or when the docs may be stale relative to the library.
    0 installs
  4. RAG Evaluator · giskard-ai bundle
    Generates tailored giskard.checks evaluation suites for RAG (Retrieval-Augmented Generation) systems. Use whenever a user describes a Q&A bot grounded in documents, a knowledge-base chatbot, a retrieval system, or wants to evaluate answer groundedness, faithfulness, hallucination, retrieval quality, citation accuracy, or out-of-scope handling. Triggers on phrases like "evaluate my RAG", "test my retrieval", "check groundedness", "build a RAG eval suite", "eval my chatbot answers from docs", "test if my agent hallucinates", "check if my answers are faithful to the sources", or any evaluation task involving an agent that answers from documents, FAQs, wikis, or a knowledge base. Use this skill even when the user does not explicitly say "RAG" but describes an agent grounded in documents. For adversarial / red-teaming evaluation, use the `scenario-generator` skill instead. This skill focuses on quality, not safety.
    0 installs
  5. Scenario Generator · giskard-ai bundle
    Generates tailored giskard.checks test scenarios and suites for AI agents. Use when user describes their agent and fears, asks to "create scenarios", "test my agent", "generate checks", "evaluate my chatbot", "red-team my AI", or wants to build adversarial test cases for LLM-based applications.
    0 installs
  6. Giskard To Collibra · giskard-ai bundle
    Export Giskard scan results into Collibra AI Governance. Use this whenever the user asks to export, push, sync, or import a Giskard scan, agent, or project (e.g. "Zephyr") into Collibra, or to update Collibra AI Governance assets, monitors, or Quality-tab metrics from Giskard. Also use it when the user asks to "retrieve the latest scan of a project and send it to Collibra", even if they do not say the word "export".
    0 installs
  7. Check · giskard-ai
    Run the giskard-oss verification gate (format, check, unit tests) for a package
    1 install
  8. Fix Cve · giskard-ai
    Use when pip-audit (or a CVE/GHSA advisory, Dependabot, or security scan) flags a vulnerable Python dependency in giskard-oss and it needs upgrading to a fixed version in the uv lockfile.
    1 install
  9. Giskard Oss Pr Ready · giskard-ai
    Describes the merge-ready workflow for the giskard-oss monorepo using the repository root Makefile and the same steps as GitHub Actions—format, check, unit tests, optional pre-commit. Use when preparing or updating a pull request, confirming CI will pass, running pre-push validation, or when the user asks for a branch to be merge-ready.
    1 install
  10. Giskard Checks New Check · giskard-ai bundle
    Guides implementation of new or changed eval checks in the giskard-checks package—Check subclasses, discriminated kind registration, public exports, and tests. Use when adding or modifying built-in checks, LLM-based judges, @Check.register kinds, serialization of TestCase or Scenario, or when editing files under libs/giskard-checks/src/giskard/checks related to checks.
    1 install