What does Agent QA Authoring do?

Agent QA Authoring guides you through creating, editing, and validating Agent QA test definitions, suites, and hooks. It enforces strict ID contracts, validates every definition before saving, and provides MCP tools plus CLI fallbacks for authoring operations in configured Agent QA workspaces.

When should I NOT use this skill?

Do not use this skill if you lack an installed and configured Agent QA workspace with the necessary dependencies for your target, or if you need to infer undocumented config keys, selectors, UI states, credentials, or test data — the skill only works with explicit, documented schema.

What are the ID naming conventions this skill enforces?

Test IDs use `t_` plus 10 id-agent words, suite IDs use `s_` plus 10 id-agent words, hook IDs use `h_` plus 10 id-agent words, run IDs use `r_` plus 10 id-agent words, and observation IDs use `obs_` plus 10 id-agent words. The skill never hand-writes IDs and always validates definitions before saving or running them.

What integrations does Agent QA Authoring provide?

It integrates with Agent QA MCP tools (for discovery, ID generation, validation, and CRUD operations on tests, suites, and hooks), Agent QA CLI (as a fallback for ID generation, validation, and test execution), and a bundled contract reference file for exact schema fields and ID contracts.

Skill

Author and validate Agent QA test definitions with schema compliance

Name: Author and validate Agent QA test definitions with schema compliance
Availability: OnlineOnly
Author: vostride

Authors and validates Agent QA tests, suites and hooks via MCP or CLI while preserving canonical IDs and schema contracts.

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Works with agent qa

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Spark score

out of 100

Updated 27 days ago

Source checked Oct 14, 2026

Version 19.6.0

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Why it matters

Create, validate, and manage Agent QA test suites, hooks, and test definitions with guaranteed schema compliance and canonical ID generation, ensuring every test artifact follows exact contracts before execution.

Outcomes

What it gets done

Generate canonical test, suite, and hook IDs using Agent QA tooling without hand-writing identifiers

Validate YAML test definitions against Agent QA schema before saving or running

Create and update test artifacts through MCP tools with workspace-aware configuration

Inspect targets, devices, and providers to author environment-specific test scenarios

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-agent-qa-authoring | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Agent QA Authoring creates, edits and validates Agent QA tests, suites and hooks through MCP or CLI, generating canonical IDs rather than hand-writing them. It validates every definition against a bundled schema contract before saving or running it. Use it when creating, editing, validating or running an Agent QA test, suite or hook, or checking which workspace config fields apply.

What it does

Agent QA Authoring creates, edits, validates and runs Agent QA tests, suites and hooks through MCP or CLI while preserving canonical IDs and schema contracts, without inventing schema fields or identifiers. It prefers Agent QA's own MCP tools, uses a bundled contract reference for exact fields, and validates every definition before saving or running it.

Its preconditions and approval boundary: work only in a configured Agent QA workspace the user has authorized; inspect the requested scope before any create, update, delete or test-run operation; get explicit confirmation before deleting a definition or running a test that can change external application state; and keep credentials out of definitions and output, relying on the workspace's own configured secret handling.

The workflow: discover the local surface with agent_qa_discover; inspect the active config with agent_qa_get_config (targets, devices, providers, services.mcp); load references/agent-qa-contracts.json when exact schema fields or ID contracts are needed; generate every new ID with Agent QA's own tooling (agent_qa_generate_id via MCP, or agent-qa ids generate <test|suite|hook|run|observation> via CLI fallback) - if neither surface is installed, stop and ask the user to approve an exact installation rather than fetching and executing a moving package reference at runtime via npx; never hand-write an ID, validating existing ones with agent_qa_validate_id or the CLI equivalent; validate definitions before saving (agent_qa_validate_test/agent_qa_validate_suite or agent_qa_validate_definition with the matching kind); prefer MCP authoring mutations (create/update/delete for tests, suites and hooks); and fall back to CLI or YAML only when MCP is unavailable, keeping file paths matched by workspace.testMatch or workspace.suiteMatch.

Required ID contracts, all generated rather than hand-written: test IDs are t_ plus 10 id-agent words, suite IDs s_ plus 10 words, hook IDs h_ plus 10 words, run IDs r_ plus 10 words, and observation IDs obs_ plus 10 words. Before running a test, it validates the YAML first, prefers agent_qa_enqueue_test_run/agent_qa_enqueue_suite_run over shelling out, only runs the CLI fallback after validation succeeds, and reconfirms the target and environment when a test may mutate real data or trigger external actions.

The bundled contract reference (references/agent-qa-contracts.json) defines the ID prefix and word-count contract per type, the config's root keys (workspace, services, registry, use, analytics) and MCP fields, and the required/optional keys for a test (test-id, name, target, steps, plus optional context/use/meta/setup/teardown), a suite (name, target, tests, plus optional suite-id/context/setup/teardown/use), and a hook (an id, name, runtime, file, deps, packageFile, timeout and network).

When to use - and when NOT to

Use it when creating or editing an Agent QA test, suite or hook; validating Agent QA YAML or canonical IDs; running a newly authored Agent QA definition through MCP or CLI; or investigating which Agent QA configuration fields or workspace patterns apply. Do not invent config keys or use legacy root config buckets, hand-write IDs, mutate files outside configured workspace patterns, or run destructive or production-facing scenarios without the user's explicit scope and confirmation. It requires an installed and configured Agent QA workspace plus any browser, mobile, model-provider or application dependencies the selected target uses; it does not infer undocumented config keys, selectors, UI states, credentials or test data; and passing validation proves schema compatibility, not that the application behavior or external environment is safe to exercise.

Inputs and outputs

Input is a request to create, edit, validate or run an Agent QA test, suite or hook within an authorized workspace. Output is a schema-valid definition with a tool-generated canonical ID, a validation result, and, when explicitly confirmed, an enqueued test or suite run.

Integrations

It operates through Agent QA's own MCP tool surface (agent_qa_discover, agent_qa_get_config, agent_qa_generate_id, agent_qa_validate_*, agent_qa_create_*/update_*/delete_*, agent_qa_enqueue_*_run) with a CLI (agent-qa) and YAML fallback when MCP is unavailable. The skill's license is FSL-1.1-ALv2.

Who it's for

It suits teams authoring and maintaining Agent QA test suites who need schema-correct, ID-consistent definitions without hand-writing identifiers or config fields.

FAQ

Common questions

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