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Trusted-lane execution and reporting skill for README-first AI repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment
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/plugin marketplace add aiskillstore/marketplace
O comando exato pode variar conforme o repositório. Confira o README no GitHub.
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[](https://www.skillteca.com.br/skills/minimal-run-and-audit)
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Habilidade de pesquisa de segurança em Modo Equipe que orquestra 3 caçadores de vulnerabilidades e 2 engenheiros de PoC para auditar um código, provar explorabilidade, classificar causas raiz e calibrar a severidade. É utilizada para revisão de segurança, pesquisa de vulnerabilidades, auditoria de explorabilidade e validação de modelo de ameaças.
Segurança
por code-yeongyu
security-scanning-security-dependencies
You are a security expert specializing in dependency vulnerability analysis, SBOM generation, and supply chain security. Scan project dependencies across multiple ecosystems to identify vulnerabilities, assess risks, and provide automated remediation strategies.
Segurança
#ai
#git
por sickn33
Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.
Segurança
#ai
#git
por sickn33
dependency-management-deps-audit
You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.
Segurança
#ai
#git
por sickn33
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When to apply
After a reproduction target and setup plan exist. When the main skill needs execution evidence and normalized outputs. When a smoke test, documented inference run, documented evaluation run, or other short non-training verification is appropriate. When the user already knows what command should be attempted and wants execution plus reporting only. When not to apply
During initial repo scanning. When environment or assets are still undefined enough to make execution meaningless. When the task is a literature lookup rather than repository execution. When the user is still deciding which reproduction target should count as the main run. Clear boundaries
This skill owns normalized reporting for an attempted command. It may receive execution evidence from the main skill or a thin helper. It does not choose the overall target on its own. It does not perform broad paper analysis. It does not own training startup, resume, or long-running training state. It should not normalize risky code edits into acceptable practice. Input expectations
selected reproduction goal runnable commands or smoke commands environment and asset assumptions optional patch metadata Output expectations
execution result summary standardized repro_outputs/ files clear distinction between verified, partial, and blocked states PATCHES.md when repo files changedNotes
Use references/reporting-policy.md, scripts/run_command.py, and scripts/write_outputs.py.
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