SKILLEMALL.ai

BD consulta-direito-eleitoral

Assistente especialista em Direito Eleitoral brasileiro para responder dúvidas sobre temas eleitorais via WhatsApp. Use esta skill sempre que o usuário fizer perguntas sobre direito eleitoral, justiça eleitoral, eleições, votação, filiação partidária, registro de candidatura, propaganda eleitoral, crimes eleitorais, prestação de contas, inscrição eleitoral, partidos políticos, ou qualquer outro tema relacionado à legislação e prática eleitoral brasileira. Ative também quando o usuário mencionar termos como TSE, TRE, zona eleitoral, título de eleitor, urna, candidato, campanha, voto, multa eleitoral, resolução do TSE, código eleitoral, ou processos judiciais eleitorais.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: iajonathangam2-creator v1.0.0 MIT-0 14 files body ≈ 1 250 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWhatsAppInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
82
Quality 40%
88
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Obfuscation
If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
For the model run — optional
  • 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 · 1

  • high Obfuscation uni-zero-width references/AGENTES NO DIREITO ELEITORAL/representação pesquisa eleitoral.md:3981
    Zero-width / invisible characters (possible hidden text) (112 occurrences)

Files scanned: 14. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (consulta-direito-eleitoral) differs from the folder (consulta-ia-dir)
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Execution cost. Instruction body is 1250 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 677: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

External checks

ClawHub: suspicious
The skill has no executable code, but some legal reference files include role-changing and memory-like instructions that could steer the assistant beyond simple WhatsApp legal Q&A.
LLM: suspicious (high) · VirusTotal: · 29 May 2026