Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/georgemarmelstein/superjurista-devnpx agentmods add commands/georgemarmelstein/superjurista-dev/baixar-converterWrote 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/commands/georgemarmelstein/superjurista-dev/baixar-converter)<a href="https://agentmods.dev/commands/georgemarmelstein/superjurista-dev/baixar-converter"><img src="https://agentmods.dev/badge/commands/georgemarmelstein/superjurista-dev/baixar-converter/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/commands/georgemarmelstein/superjurista-dev/baixar-converter"><img src="https://agentmods.dev/badge/commands/georgemarmelstein/superjurista-dev/baixar-converter.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 | $0.00011 | $0.00576 |
| Opus 5 | $0.00005 | $0.00288 |
| Sonnet 5 | $0.00002 | $0.00115 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
baixar-converter 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 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.
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.
What it actually says
/baixar-converter
Baixa processos do PJE E converte para TXT.
Argumentos
$1 = quantidade (padrao: 1)
$2 = modo (padrao: sentenca)
EXECUCAO OBRIGATORIA
Etapa 1: Capturar sessao (CONTEXTO ISOLADO)
Usar skill capturar-sessao-pje que roda em contexto isolado:
Invocar skill: capturar-sessao-pje
A skill tenta Chrome MCP primeiro, e se falhar, pede HAR ao usuario.
Checkpoint: Arquivo pje_session.json existe?
Se a skill retornar falha, PARAR e informar usuario
Etapa 2: Listar processos
Executar EXATAMENTE:
python .claude/skills/pje-download/scripts/listar_processos.py --cookies pje_session.json --modo $2 --limite $1 --output processos.json
Checkpoint: Arquivo processos.json existe e contem processos?
Se erro "Expecting value" → Sessao expirou, voltar a Etapa 1.
Etapa 3: Baixar PDFs
Executar EXATAMENTE:
python .claude/skills/pje-download/scripts/baixar_pdfs.py --cookies pje_session.json --processos processos.json --output data/$2 --delay 2
Checkpoint: PDFs baixados em data/$2/?
Etapa 4: Converter para TXT
Para CADA processo baixado, executar EXATAMENTE:
python .claude/skills/converter-pdf/scripts/pdf_para_txt.py --input data/$2/[NUMERO]/[NUMERO].pdf --output data/$2/[NUMERO]/
Substituir [NUMERO] pelo numero real do processo.
Checkpoint: Arquivos .txt gerados?
Etapa 5: Relatorio
Informar:
- Quantidade de processos baixados
- Quantidade de PDFs convertidos
- Caminhos dos arquivos
- Estatisticas de conversao (paginas, caracteres)
Saida Esperada
data/[modo]/
├── processos.json
├── _download_log.json
└── [numero-processo]/
├── [numero].pdf
├── [numero].txt
└── conversao_log.json
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 · 96 lines · 0 tokens per session scan A 1a69fcf98cab
baixar-converter is a command published in the GitHub repository georgemarmelstein/superjurista-dev (22 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 576 once invoked, about $0.0001 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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cti-report
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docs
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cheatsheet
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render-figures
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