AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sickn33/agentic-awesome-skills --skill agent-qa-authoringgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-qa-authoring)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-qa-authoring"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-qa-authoring/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-qa-authoring"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-qa-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.01078 |
| Opus 5 | $0.00017 | $0.00539 |
| Sonnet 5 | $0.00007 | $0.00216 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
agent-qa-authoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-qa-authoring — 94% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent QA Authoring
Overview
Author Agent QA tests, suites, and hooks without inventing schema fields or identifiers. Prefer Agent QA's MCP tools, use the bundled contract reference for exact fields, and validate every definition before saving or running it.
When to Use
- 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.
- Investigating which Agent QA configuration fields or workspace patterns apply.
Preconditions and Approval Boundary
- Work only in a configured Agent QA workspace that the user has authorized.
- Inspect the requested scope before any create, update, delete, or test-run operation.
- Obtain explicit confirmation before deleting a definition or running a test that can change external application state.
- Keep credentials out of definitions and output; use the workspace's configured secret handling.
Workflow
- Discover the local surface with
agent_qa_discover. - Inspect active config with
agent_qa_get_config, especially targets, devices, providers, andservices.mcp. - Load
references/agent-qa-contracts.jsonwhen exact schema fields or ID contracts are needed. - Generate every new ID with Agent QA tooling:
- MCP:
agent_qa_generate_id - CLI fallback:
agent-qa ids generate <test|suite|hook|run|observation> - If neither surface is already installed, stop and ask the user to approve
an exact Agent QA installation. Do not fetch and execute the package at
runtime through
npxor another moving package reference.
- MCP:
- Never hand-write IDs. Validate existing IDs with
agent_qa_validate_idoragent-qa ids validate <type> <id> --json. - Validate definitions before saving:
- Tests:
agent_qa_validate_testoragent_qa_validate_definitionwithkind: "test" - Suites:
agent_qa_validate_suiteoragent_qa_validate_definitionwithkind: "suite" - Hooks:
agent_qa_validate_definitionwithkind: "hooks"
- Tests:
- Prefer MCP authoring mutations:
- Tests:
agent_qa_create_test,agent_qa_update_test,agent_qa_delete_test - Suites:
agent_qa_create_suite,agent_qa_update_suite,agent_qa_delete_suite - Hooks:
agent_qa_create_hook,agent_qa_update_hook,agent_qa_delete_hook
- Tests:
- Use CLI or YAML fallback only when MCP is unavailable. Keep file paths matched by
workspace.testMatchorworkspace.suiteMatch.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago Changed · +2 lines 018c5d1168cb
- 11d ago First seen · 94 lines · 34 tokens per session scan A 879727bb6d3e
agent-qa-authoring is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 1,078 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
accessibility-tester
Professional Accessibility Tester Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
bdd-cucumber
Professional BDD Cucumber Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
flaky-test-fixer
Professional Flaky Test Fixer Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
integration-tester
Professional Integration Tester Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
mutation-tester
Professional Mutation Tester Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.
security-tester
Professional Security Tester Expert skill. Implement robust test suites and automated quality checks for modern web/mobile applications.