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Adversarial Review

porpoteto·poteto· v1.0.0 · atualizado em 2026-04-10
77
Score

This skill performs adversarial reviews to identify potential weaknesses and vulnerabilities in systems or processes. It can be used to improve security, robustness, and overall quality by proactively uncovering flaws.

adversarial-testingllm-evaluationcross-model-validationcode-reviewai-safetyprompt-engineering
Linguagens
multi-language
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Documento do Skill

SKILL.mdadversarial-review/workflow
1. Load relevant brain principles and reviewer lenses.
2. Determine the scope and intent of the work to be reviewed.
3. Detect the current model and spawn reviewers on the opposite model using the CLI.
4. Verify the reviewer output files exist and are not empty.
5. Synthesize the reviewers' findings into a verdict.
6. Apply the lead agent's judgment to the findings, accepting or rejecting them with rationale.
7. Output the final verdict including reviewer findings and lead agent judgment.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Adversarial Review
adversarial-review
Fases Cognitivas4
1.SENSE
2.CONTEXTUALIZE
3.EVALUATE
4.REFLECT
Triggers7
perform adversarial reviewchallenge the work with opposite modelspawn reviewers on opposite modelrun cross-model validationcritique code with adversarial reviewersevaluate code using adversarial lensesfind problems in code using opposite model

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download adversarial-review
$ synaptic skills detail adversarial-review
$ synaptic skills live adversarial-review

Links

GitHub Repository