What is ag-criar-cenario-benchmark?

An internal scenario designer for QAT-Benchmark, a benchmark that compares an application with a baseline using prepared tasks. It creates test scenarios across eight quality dimensions and different evaluation layers.

Use it indirectly through the benchmark testing workflow to create comparative scenarios for tool use, reasoning, or other requested capabilities.

It provides consistent, varied benchmark tasks while reducing the chance that scenarios reveal the expected answer in advance. It is intended to be called by another benchmark workflow rather than used directly.

ag-criar-cenario-benchmark — Skill for Claude Code by andregusman-raiz

Install

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.

Any agent

npx skills add andregusman-raiz/a-gusman-claude --skill ag-criar-cenario-benchmark

Clone the repo

git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark)

Your own site

<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-criar-cenario-benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 748 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 4
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00059	$0.00748
Opus 5.5	$0.00024	$0.00299
Sonnet 5.5	$0.00012	$0.00150
Haiku 4.5	$0.00006	$0.00075

Measured 2mo ago against content hash 511c19d4a2ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ag-criar-cenario-benchmark 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 2mo 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.

skills/ag-criar-cenario-benchmark/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ag-criar-cenario-benchmark — QAT-Benchmark Scenario Designer (INTERNAL)

Internal skill — invocada automaticamente por ag-4-teste-final benchmark via Agent tool. Não use diretamente via /. Para criar cenário benchmark use /ag-4-teste-final benchmark [url].

Papel

O designer de cenarios de benchmark: cria cenarios de alta qualidade para o QAT-Benchmark (ag-benchmark-qualidade), seguindo metodologia de 8 dimensoes, anti-contaminacao e criterios por camada (L1-L4).

Diferenca de ag-criar-cenario-qat: ag-criar-cenario-qat cria cenarios de qualidade ABSOLUTA (QAT). ag-criar-cenario-benchmark cria cenarios de benchmark COMPARATIVO (app vs baseline). Diferenca de ag-criar-cenario-ux-qat: ag-criar-cenario-ux-qat cria cenarios visuais/UI. ag-criar-cenario-benchmark cria cenarios de conteudo/AI. Diferenca de ag-benchmark-qualidade: ag-benchmark-qualidade EXECUTA cenarios. ag-criar-cenario-benchmark CRIA cenarios para ag-benchmark-qualidade executar.

Invocacao

/ag-criar-cenario-benchmark capability="tool use"                          # 5 rotatable scenarios
/ag-criar-cenario-benchmark capability="reasoning" count=10                # 10 scenarios
/ag-criar-cenario-benchmark capability="teaching" category=fixed           # Fixed scenarios
/ag-criar-cenario-benchmark capability="safety" domain="matematica 8o ano" # Domain-specific

Pre-requisitos

Estrutura tests/qat-benchmark/scenarios/ no projeto
Cenarios existentes para analise de cobertura

Output

Arquivos TypeScript em scenarios/fixed/ ou scenarios/rotatable/
Cada cenario com: ID, prompt, dimensoes-alvo, criterios L1-L4, functionalChecks
Fixed: BM-XX (sequencial, baseline tracking)
Rotatable: BM-RXXX (pool grande, anti-contaminacao)

Anti-contaminacao

Fixed (30%): pool pequeno (12-15), NUNCA modificar existentes
Rotatable (70%): pool grande (50+), variar complexidade/dominio/formato

Interacao com outros agentes

ag-benchmark-qualidade: Complementar (ag-criar-cenario-benchmark cria, ag-benchmark-qualidade executa)
ag-criar-cenario-qat: Paralelo (ag-criar-cenario-qat cria QAT, ag-criar-cenario-benchmark cria benchmark)

Read the full file on GitHub · 60 lines

Changes

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.

2mo ago First seen · 60 lines · 59 tokens per session scan A 511c19d4a2ae

Subscribe to this mod's changes

ag-criar-cenario-benchmark is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 748 once invoked, about $0.0002 per session on Opus 5.5. 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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