SKILLEMALL.ai

AC controle-interno-municipal

Controle interno municipal brasileiro — implantação, operação e auditoria interna em prefeituras e câmaras municipais. Use quando o usuário perguntar sobre: (1) Sistema de Controle Interno municipal (CF art. 31 e 74), (2) Implantação de Unidade de Controle Interno (UCI), (3) Relatórios de controle interno (RCI), (4) Auditoria interna no setor público municipal, (5) Fiscalização de atos administrativos (pessoal, licitações, contratos, patrimônio), (6) Compliance e governança pública municipal, (7) Checklist de auditoria para TCE, (8) Tomada de contas especial, (9) Parecer do controle interno sobre prestação de contas, (10) Gestão de riscos no setor público, (11) NBC TI e NBC TA aplicadas ao setor público, (12) Transparência e LAI — fiscalização pelo controle interno, (13) Irregularidades e providências administrativas. Autor: Valleko Vagner de Freitas Ferreira — Controlador Geral, Câmara Municipal de Timon/MA. Idioma: Português do Brasil.

ClawHub Agent Skills author: inovabizpi-cell v1.3.0 MIT-0 8 files body ≈ 1 172 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
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

How to improve

    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 · 0

    ✓ No critical or high findings

    Files scanned: 8. 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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 61 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1172 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 951: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 61 items
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a reference-only skill for Brazilian municipal internal control and auditing, with no code, credentials, persistence, or hidden execution behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026