Informe de auditoría del skill
ctf-malware Informe de auditoría.
Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Aprobado86
3.2K estrellas de GitHub
Actividad de stars/forks
Aprobado83
3.2K estrellas y 369 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Fallido36
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add ljagiello/ctf-skills --skill ctf-malware
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/ljagiello/ctf-skills/tree/main/ctf-malware
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add ljagiello/ctf-skills --skill ctf-malware
Repositorio
88
https://github.com/ljagiello/ctf-skills/tree/main/ctf-malware
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
Dynamic analysis commands execute potentially malicious binaries; SKILL.md mentions sandboxing but does not provide concrete isolation setup, which could lead to unsafe execution.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
36
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
22
secrets or environment access, shell or command execution
Actividad de stars/forks
83
3.2K estrellas y 369 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
3.2K estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Dynamic analysis commands execute potentially malicious binaries; SKILL.md mentions sandboxing but does not provide concrete isolation setup, which could lead to unsafe execution.
- The SKILL.md is a quick reference and relies heavily on supporting files for full workflows; the main file alone is less self-contained for an agent without those files.
- Tool installation commands use pip/apt without integrity verification, though the listed tools are well-known and legitimate.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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