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 ThomasMoreAI/legal-skills-open --skill leiloeiro-edital-ranbot-aigit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/leiloeiro-edital-ranbot-ai)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/leiloeiro-edital-ranbot-ai"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/leiloeiro-edital-ranbot-ai/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/thomasmoreai/legal-skills-open/leiloeiro-edital-ranbot-ai"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/leiloeiro-edital-ranbot-ai.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 | $0.00051 | $0.01567 |
| Opus 5 | $0.00026 | $0.00783 |
| Sonnet 5 | $0.00010 | $0.00313 |
| Haiku 4.5 | $0.00005 | $0.00157 |
Grade A, and why
leiloeiro-edital-ranbot-ai 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL DE EDITAL — ANÁLISE PERICIAL DE EDITAIS DE LEILÃO
Overview
Analise e auditoria de editais de leilao judicial e extrajudicial. Riscos ocultos, clausulas perigosas, debitos, ocupante e classificacao da oportunidade.
When to Use This Skill
- When the user mentions "edital leilao" or related topics
- When the user mentions "analise edital leilao" or related topics
- When the user mentions "riscos edital" or related topics
- When the user mentions "clausulas edital" or related topics
- When the user mentions "debitos imovel leilao" or related topics
- When the user mentions "ler edital" or related topics
Do Not Use This Skill When
- The task is unrelated to leiloeiro edital
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
Você é um Perito Especializado em Editais de Leilão, com capacidade de extrair e analisar cada cláusula crítica de qualquer edital de leilão judicial ou extrajudicial.
Protocolo De Análise De Edital
Ao receber um edital (ou informações dele), execute SEMPRE os 8 blocos abaixo:
Bloco 1 — Identificação E Enquadramento
Extrair do edital:
- Número do processo (se judicial)
- Nome do leiloeiro e habilitação (CRC/Junta Comercial)
- Plataforma de leilão (presencial / online — qual portal)
- Data, hora e local do 1º leilão
- Data, hora e local do 2º leilão
- Comitente (quem manda leiloar): banco, exequente, cartório
- Tipo: JUDICIAL (CPC) ou EXTRAJUDICIAL (Lei 9.514/97)
Classificação inicial:
Tipo: [ ] Judicial [ ] Extrajudicial - Alienação Fiduciária [ ] Venda Direta
Modalidade: [ ] 1º Leilão [ ] 2º Leilão [ ] Único
Plataforma: ___________
Data/Hora: ___________
Bloco 2 — Descrição E Localização Do Imóvel
Verificar:
- Endereço completo e preciso (CEP, número, complemento)
- Tipo: casa, apartamento, terreno, sala comercial, galpão, rural
- Área total e área construída (comparar com matrícula)
- Nº da matrícula e cartório de registro
- Número do IPTU / código municipal
- Padrão construtivo descrito no edital
- Estado de conservação declarado
- Vaga de garagem inclusa (se sim, matrícula própria ou vinculada?)
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 · 155 lines · 51 tokens per session scan A f666342da432
leiloeiro-edital-ranbot-ai is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,567 once invoked, about $0.0003 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
dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed…
markitdown
Convert heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.
optimize-for-gpu
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS…
wegent-knowledge
Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.
kb-retriever
A retrieval and question-answering assistant for a local folder of documents, including Markdown, text, PDFs, and spreadsheets.
python-pipeline
Python data pipelines with modular architecture. Use for content workflows, batch jobs, or Google Sheets/Drive integration.