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injection-guard

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Atualizado17 de junho de 2026 às 12:22

Generate or audit a prompt-injection defense that satisfies AgenticApps core spec §14 for the project's tech stack. Three subcommands: `init` (greenfield scaffold — detect stacks, materialise the trust-classification enforcement (TS ESLint rule / Go analyzer), the `fenceUntrusted` + canary helpers, the untrusted-input registry, and the attack-matrix regression test behind consent gates, then write the `injection_guard:` metadata block), `scan` (brownfield audit → .injection-scan-report.md; finds tenant-untrusted values reaching prompts without a trust marker, ranked by confidence), and `scan-apply` (apply high-confidence findings — add markers, scaffold missing enforcement assets — with per-file consent). Use when adding or auditing an LLM prompt-building path, tenant-untrusted tagging, prompt fencing, output validation / canary checks, tool-dispatch allowlists, or a §14 prompt-injection regression test in a new or existing service. The shared attack-family corpus and per-stack templates live in ./corpus, ./t

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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