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 ricneves-ai/flowgrammers-skills --skill reportgit clone --depth 1 https://github.com/ricneves-ai/flowgrammers-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/ricneves-ai/flowgrammers-skills/report)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/report"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/report/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/ricneves-ai/flowgrammers-skills/report"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.00949 |
| Opus 5 | $0.00023 | $0.00475 |
| Sonnet 5 | $0.00009 | $0.00190 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
report scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "$SLACK_WEBHOOK_URL" \ How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Relatório Inteligente de Testes
Gerar relatórios de testes que se integram ao fluxo de trabalho existente do usuário. Sem novas ferramentas.
Passos
1. Executar Testes (Se Ainda Não Executados)
Verificar se existem resultados recentes:
ls -la test-results/ playwright-report/ 2>/dev/null
Se não houver resultados recentes, executar os testes:
npx playwright test --reporter=json,html,list 2>&1 | tee test-output.log
2. Analisar Resultados
Ler o relatório JSON:
npx playwright test --reporter=json 2> /dev/null
Extrair:
- Total de testes, aprovados, reprovados, pulados, instáveis
- Duração por teste e total
- Nomes dos testes reprovados com mensagens de erro
- Testes instáveis (aprovados na nova tentativa)
3. Detectar Destino do Relatório
Verificar o que está configurado e rotear automaticamente:
| Verificar | Se encontrado | Ação |
|---|---|---|
Variável de ambiente TESTRAIL_URL |
TestRail configurado | Enviar resultados via /pw:testrail push |
Variável de ambiente SLACK_WEBHOOK_URL |
Slack configurado | Postar resumo no Slack |
.github/workflows/ |
GitHub Actions | Resultados vão para comentário de PR via artifacts |
playwright-report/ |
Reporter HTML | Abrir ou servir o relatório |
| Nenhuma das opções acima | Padrão | Gerar relatório em markdown |
4. Gerar Relatório
Relatório em Markdown (Sempre Gerado)
# Resultados dos Testes — {{date}}
## Resumo
- ✅ Aprovados: {{passed}}
- ❌ Reprovados: {{failed}}
- ⏭️ Pulados: {{skipped}}
- 🔄 Instáveis: {{flaky}}
- ⏱️ Duração: {{duration}}
## Testes Reprovados
| Teste | Erro | Arquivo |
|---|---|---|
| {{name}} | {{error}} | {{file}}:{{line}} |
## Testes Instáveis
| Teste | Tentativas | Arquivo |
|---|---|---|
| {{name}} | {{retries}} | {{file}} |
## Por Projeto
| Navegador | Aprovados | Reprovados | Duração |
|---|---|---|---|
| Chromium | X | Y | Zs |
| Firefox | X | Y | Zs |
| WebKit | X | Y | Zs |
Salvar em test-reports/{{date}}-report.md.
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.
- 9d ago First seen · 129 lines · 47 tokens per session scan A 009930aba05d
report is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 949 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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