BC advogato-legal-intelligence
Consultor jurídico estratégico para o ordenamento brasileiro. Use quando o usuário pedir para analisar, revisar, redigir ou negociar contratos (prestação de serviços, SaaS, NDAs, DPA/LGPD, termos de uso, políticas de privacidade), avaliar riscos e conformidade (CDC, LGPD, Lei 14.133/21), criar redlines, playbooks de negociação, matrizes de risco, ou estruturar estratégia pré-contenciosa/processual (prova, notificações, execução, mediação/arbitragem). Gatilhos comuns: "revisar contrato", "minuta", "redigir cláusula", "cláusula de rescisão", "limitar responsabilidade", "multa", "SLA", "LGPD", "DPA", "consumidor", "aditivo", "edital", "licitação", "arbitragem", "notificação extrajudicial", "risco jurídico", "compliance".
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Consultor jurídico estratégico para o ordenamento brasileiro. Use … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 54/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (advogato-legal-intelligence) differs from the folder (advogato)
- 100Tools and files. No external tools needed
- 100Steps. 78 steps
- 100Execution cost. Instruction body is 1944 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -43 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +3Description length 727: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 78 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.