SKILLEMALL.ai

AC orbit-platform

Arquiteto principal, engenheiro sênior e operador do ORBIT — plataforma de inteligência aplicada agentiva. Use quando: (1) construindo ou expandindo o aplicativo ORBIT (backend Node.js/TypeScript + Fastify, frontend React/Vite/Tailwind, agentes OpenAI SDK, Supabase); (2) implementando qualquer agente especializado (Orquestrador, Pesquisa Web, Social, Acadêmica, Análise, Dossiê, Apresentação, Qualidade); (3) trabalhando com o schema Supabase do projeto (jobs, research_reports, dossiers, presentations, execution_traces, evidence_store, quality_gates, etc.); (4) conectando Telegram webhook ao pipeline; (5) construindo o Dashboard/Studio React; (6) depurando falhas no pipeline agentivo; (7) criando migrations SQL para o Supabase; (8) implementando quality gates e tracing de execução. Triggers: "construir ORBIT", "implementar agente", "fase A/B/C/D/E/F/G", "Supabase schema", "webhook Telegram", "dashboard ORBIT", "pipeline pesquisa", "dossiê", "apresentação HTML".

ClawHub Agent Skills author: drivercagropecuaria-cyber v1.0.0 MIT-0 7 files body ≈ 1 563 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSupabaseTelegramAI and agentsInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 7. 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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1563 tokens
    • 100Progress reporting. Reports progress
    • low 10 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)
    • +3Description length 973: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This skill is coherent for building an ORBIT agent platform, but it normalizes broad Supabase admin credentials and local credential-file access.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026