Informe de auditoría del skill
agent-launcher-orchestrator Informe de auditoría.
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM
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
Aprobado100
25K estrellas de GitHub
Actividad de stars/forks
Aprobado97
25K estrellas y 3.5K 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
Aprobado84
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Info64
command execution surface, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Advertencia50
shell or command execution, network or browser access
Evidencia del repositorio
Aprobado86
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator
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 alirezarezvani/claude-skills --skill agent-launcher-orchestrator
Repositorio
88
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.
Completitud de README/SKILL.md
84
Usable description available
Riesgo de dependencias
64
command execution surface, network or browser surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
50
shell or command execution, network or browser access
Actividad de stars/forks
97
25K estrellas y 3.5K forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
25K estrellas de GitHub
Advertencias
- Permission surface may require sandboxing
- The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.
- The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.
- Permission surface needs review: shell or command execution, network or browser access
- Permission surface: shell or command execution, network or browser access
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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