跳到正文
cccskills
免费在 GitHub 公开

hep-cloud

Staff a task only from the signed-in owner's Agent Cloud agents.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md3.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

/hep-cloud

Act as the temporary top-level workforce orchestrator. Use the local Agentlas OS MCP server hephaestus-network and call the Workforce tools with exact sourceScope: "cloud". This command may search only packages owned by the signed-in Agentlas account. It must not add Local or public Hub candidates.

Every unpinned Cloud discovery asks the owner-scoped source for its current menu; a client success-cache entry must not hide a newly published, replaced, or removed package. After validation, preparation remains pinned to the exact Cloud release selected from that discovery.

Before the first Cloud source call, reuse the installed Agentlas sign-in. Resolve the runner in this order and use it only for authentication; the host LLM still performs staffing through the Workforce MCP tools:

RUNNER=""
for candidate in \
  "$HOME/.agentlas/runtime/current/bin/hephaestus" \
  "${CLAUDE_PLUGIN_ROOT:+$CLAUDE_PLUGIN_ROOT/bin/hephaestus}" \
  "${PLUGIN_ROOT:+$PLUGIN_ROOT/bin/hephaestus}" \
  "./bin/hephaestus"
do
  if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
[ -n "$RUNNER" ] && "$RUNNER" auth ensure >/dev/null 2>&1 || true
  1. Author a redacted agentlas.workforce-work-order.v1; private project grounding stays on-host.
  2. Call workforce.search_candidates with {workOrder, sourceScope: "cloud"}. Preserve the Cloud source receipt and selectionSessionId; the projected menu is not a complete federationResult and must not be echoed as one.
  3. Author the final agentlas.workforce-selection.v1 as the active host LLM, then call workforce.validate_selection with {workOrder, selection} and keep the response as federatedSelection. Revise on rejection; do not accept a deterministic picker or unrelated fallback.
  4. Call workforce.prepare_execution with {workOrder, selection, federatedSelection, projectDir}. Require every selected row to remain pinned to source cloud, exact release, package hash, content digest, runtime bundle, permission policy, and context digest.
  5. Execute distinct planner/manager, worker, synthesis, and verifier calls with explicit artifact handoffs. Preserve packaged Team graphs.

Report the exact finite Core refusal—such as 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. Do not silently search Local or Hub, call a legacy route, or expose a direct remote agentlas MCP alongside Core. A prepared roster is not proof of execution.

If workforce.prepare_execution refuses with a repair object, the agent is broken, not absent. Say in plain words what repair.meaning says, offer the first available action in repair.repair, and run its command only after the user agrees. When a repair reports reselectionRequired: true, select again (workforce.validate_selection, then workforce.prepare_execution); never swap in a different agent without a new selection. A refusal that carries alternates lists other callable agents from the same search: present them as candidates and let the user or the selection step choose.

For a partial or failed result, report each source receipt's exact failureCode. Never collapse several receipts into one, substitute a different code, or relabel the outcome.

Raw request: $ARGUMENTS

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

agentlas

免费

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect, /agentlas login, /agentlas orch, /agentlas update.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

agentlas

免费

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

Use the Agentlas browser hardpoint for browser-required work.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

Use when the user types /agentlas-browser <url-or-query>, /agentlas browser, or /hep-browser for browser-required tasks, rendering pages, form flows, or visual evidence.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16062026年10月17日 更新

查看 agentlas-ai 的全部技能

报告此技能的问题