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Basado en la clasificación ocupacional SOC
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npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill hep-cloudEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
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Mostrando SKILL.md
| name | hep-cloud |
| description | Staff a task only from the signed-in owner's Agent Cloud agents. |
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Raw request: $ARGUMENTS
Use MCP server hephaestus-network and exact sourceScope: "cloud". Author a
redacted agentlas.workforce-work-order.v1, call
workforce.search_candidates with {workOrder, sourceScope: "cloud"} and keep
the source receipt plus selectionSessionId; do not echo the projected menu as
a complete federationResult. Author the final
agentlas.workforce-selection.v1 yourself, call
workforce.validate_selection with
{workOrder, selection}, keep its response as federatedSelection, then call
workforce.prepare_execution with
{workOrder, selection, federatedSelection, projectDir}. Require every row to retain source cloud plus
its exact release/package/content/runtime/permission/context identity.
Run planner/manager, selected workers, synthesis, and verifier as distinct
invocations with artifact handoffs and preserve Team graphs. Report the exact
finite Core refusal (source_unauthorized, source_forbidden,
source_rate_limited, insufficient_credits, owner_only, no_cloud_package,
agent_not_found, source_not_supported, or source_unavailable) with the
source receipt. Never
search Local or public Hub, invoke legacy routing, accept a deterministic
picker, or treat a prepared bundle as execution proof.
Use when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM staffs each turn; the exact roster remains goal-bound until explicit completion.
Use when the user asks OpenClaw to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM chooses the exact roster, which remains goal-bound until explicit completion.
Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.