AD sped-fiscal-br
SPED — Sistema Público de Escrituração Digital brasileiro. Obrigações acessórias federais para empresas privadas e entidades públicas. Use quando o usuário perguntar sobre: (1) ECD — Escrituração Contábil Digital, (2) ECF — Escrituração Contábil Fiscal, (3) EFD-Contribuições (PIS/COFINS), (4) EFD-ICMS/IPI (Fiscal), (5) EFD-Reinf, (6) eSocial — eventos e prazos, (7) DCTFWeb, (8) DIRF e sua substituição, (9) Prazos e calendário de entrega das obrigações, (10) Penalidades por atraso ou erro, (11) Leiautes e registros dos arquivos SPED, (12) Certificado digital para transmissão, (13) Regimes tributários (Simples, Presumido, Real) e suas obrigações, (14) Retenções na fonte (INSS, IRRF, CSRF, ISS), (15) DCTF, PERDCOMP, e-CAC. Autor: Valleko Vagner de Freitas Ferreira — Contador, CRC ativo. Idioma: Português do Brasil.
As a process D 46/100 · Unfinished process — 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 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
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 932 tokens
- 100Running it twice. No mutating operations
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 823: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 18 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.