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-result-triagegit 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-result-triage)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-qa-result-triage"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-qa-result-triage/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-result-triage"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-qa-result-triage.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 | $0.00033 | $0.00753 |
| Opus 5 | $0.00016 | $0.00377 |
| Sonnet 5 | $0.00007 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
agent-qa-result-triage 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 12d 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-result-triage — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent QA Result Triage
Overview
Classify a failed Agent QA run from its recorded evidence instead of guessing. Inspect the run, steps, artifacts, and logs; choose one fixed category; and return confidence, likely ownership, and the next evidence-backed action.
When to Use
- Investigating a failed or interrupted Agent QA run.
- Inspecting run artifacts, step results, or execution logs.
- Comparing recent related runs for recurring failure patterns.
- Deciding whether a failure belongs to a test, product, hook, browser/mobile runtime, or infrastructure owner.
Workflow
- Start with
agent_qa_get_runfor run status, suite child context, steps, and attempts. - Fetch evidence before deciding:
agent_qa_get_run_artifactagent_qa_get_run_stepsagent_qa_get_run_logsagent_qa_get_run_execution_logs
- Call
agent_qa_classify_failureand use its category as the default classification unless stronger evidence contradicts it. - Compare recent related runs when they are available in the classifier output.
- Return a concise triage result: category, confidence, evidence, likely fix area, and next action.
- For code changes, switch to
agent-qa-debug-fixafter triage is complete.
Categories
Use exactly one category from references/triage-categories.md:
timeoutappium_startupbrowser_disconnectelement_not_foundassertion_failurehook_failureinfrastructureunknown_failure
Evidence Rules
- Quote or summarize concrete artifact, log, or step evidence.
- Mention missing artifact sections when they limit confidence.
- Do not invent screenshots, videos, logs, or memory context that MCP did not return.
- If MCP is unavailable, use dashboard REST APIs or Agent QA CLI output as a fallback and state which evidence was unavailable.
- Redact credentials, session tokens, personal data, and unrelated application content from the report.
Example
{
"category": "element_not_found",
"confidence": "high",
"evidence": ["Step 4 could not resolve the described checkout button"],
"likely_fix_area": "test definition or changed product UI",
"next_action": "Inspect the captured UI context, then compare the current checkout screen"
}
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.
- 12d ago First seen · 82 lines · 33 tokens per session scan A 40daeff2042e
agent-qa-result-triage is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 753 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.
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