소스 정보
- 저장소
- agentlas-ai/Agentlas-OS
- 최근 소스 활동
- 2026년 8월 17일 01:59
- 감지된 SKILL.md 언어
- 영어
- 스타
- 1,105
- 포크
- 103
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill hep-network명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | hep-network |
| description | Staff a task from registered Local, owner Cloud, and public Hub agents. |
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Raw request: $ARGUMENTS
Act as the active top-level workforce orchestrator. Use MCP server
hephaestus-network, the local Agentlas OS Core and only host-visible
Workforce MCP. Core reaches Cloud and Hub through its internal upstream client.
Network means registered
Local + signed-in owner Cloud + public Hub.
The user does not need to say goal. First read
workforce.goal_context(projectDir) and reuse an active binding for the same
ongoing work before considering recruitment.
Before the first Cloud or Hub source call, reuse the installed Agentlas sign-in. Resolve the runner only for authentication; staffing remains in the Workforce MCP tools:
RUNNER=""
for candidate in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
"./bin/hephaestus"
do
if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
[ -n "$RUNNER" ] && "$RUNNER" auth ensure --timeout 180 >/dev/null 2>&1 || true
agentlas.workforce-work-order.v1 with substantive role
slots. Fill a slot with task/cardinality/criticality plus only the communities/skills/knowledge, runtimes, and languages that genuinely constrain the hire; omit every other list field (absent = empty — the wire normalizes) and never fill requiredToolCapabilities, requiredAuthorities, forbiddenAuthorities, consumes, produces, requiredRoles, or modalities: tools, authorities, and modalities attach to the executing runtime, not the agent card, so those gates only exclude real candidates — put ordinary inputs/outputs in the task text and handoffs in edges. Private grounding stays
local. Write every discovery-facing field in English, faithfully translating
a non-English request (the candidate corpus is English and cross-lingual
matching buries the correct agent — measured 1st vs 144th for one query);
keep an untranslatable term with a short English gloss. languages is the
delivery language, not the search language — keep it as the required output
language even though the order is authored in English.workforce.search_candidates with
{workOrder, sourceScope: "network"} and preserve source receipts plus
selectionSessionId. The default response is a projected menu, not a
complete federationResult; do not echo it as one. Unavailable
sources remain explicit.agentlas.workforce-selection.v1 yourself. Call
workforce.validate_selection with
{workOrder, selection} and keep its response as federatedSelection. Revise on
rejection. Deterministic code may
enforce governance but may not pick, rerank, or silently substitute.workforce.prepare_execution with
{workOrder, selection, federatedSelection, projectDir, goalId?} and require
exact source, release, package/content, runtime-bundle, permission, and
context pins for every selected row. projectDir is mandatory; pass the
incumbent goalId when continuing. Otherwise Core derives it from the
WorkOrder id and automatically binds the successful plan before execution.workforce.goal_context, reuses the incumbent roster
plus local skills when sufficient, and recruits only a real additive gap
using the same goalId. Record the turn posture through
workforce.record_goal_turn.model.resolve_allocation with that inventory plus the host-owned stage:
planner/manager-plan, worker, manager-synthesis/synthesis, or
verifier. Use the receipt's exact provider, model, and effort for that
invocation. Model pins and ceilings come only from the MCP server's operator
policy, never from the task or tool arguments. A missing worker policy
inherits orchestrator; orchestrator never falls through to worker.usage: null before execution, so record
actual usage on the later invocation/run receipt instead of inventing zero.Keep the roster bound across turns, sessions, runtime restarts, and context
compaction until explicit whole-goal completion/cancellation via
workforce.complete_goal(explicitCompletion=true). Lease expiry affects only
the next Hub charge; it never dismisses the roster. Standby is durable
availability, not a continuously running model. Memory/Experience accrue on
actual invocations.
Report executed only from a receipt proving every child invocation, handoff,
synthesis, and a passing independent verifier. Otherwise report the last
truthful state. Do not call legacy hephaestus_route, bypass Core with direct
remote search, or use popularity/history/price/availability as semantic fit.
Exact duplicate releases collapse Local > Cloud > Hub only with verified
identical lineage.
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.