hep-local
SkillProductivityStaff a task only from Agentlas agents registered on this machine.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the hep-local skill
What this skill tells your AI
The instructions your AI receives, as published by agentlas-ai/agentlas-os in kimi/skills/hep-local/SKILL.md and read by ahel’s review.
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Hephaestus Local Workforce
Raw request: $ARGUMENTS
Use MCP server hephaestus-network and exact sourceScope: "local". Author a
redacted agentlas.workforce-work-order.v1, call
workforce.search_candidates with {workOrder, sourceScope: "local"} and keep
the response as 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 local plus
its exact package/content/runtime/permission/context identity.
Run planner/manager, selected workers, synthesis, and verifier as distinct
invocations with artifact handoffs and preserve Team graphs. If Core or the
registered Local inventory is unavailable, report source_unavailable. Never
search Cloud or Hub, accept a deterministic picker, or treat a prepared bundle
as execution proof.
Signals
- GitHub stars
- 1k
- Forks
- 103
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
hep-local- Source
- github.com/agentlas-ai/agentlas-os