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Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Based on SOC occupation classification
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill hep-callThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Showing SKILL.md
| name | hep-call |
| description | Prepare explicitly named Agentlas Hub or Cloud agents. |
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Raw arguments: everything the user typed after /skill:hep-call.
Codex plugins cannot register slash commands, so this custom prompt is the
explicit entrypoint: /prompts:hep-call.
RUNNER=""
for c in "$HOME/.agentlas/runtime/current/bin/hephaestus" ./bin/hephaestus; do
[ -x "$c" ] && RUNNER="$c" && break
done
[ -n "$RUNNER" ] || { echo "Hephaestus runtime not found. Run the installer first." >&2; exit 1; }
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure --timeout 180 >/dev/null 2>&1 || true
fi
RAW="$ARGUMENTS"
if printf '%s' "$RAW" | grep -q '{'; then
AGENTS="${RAW%%\{*}"
CONTEXT="${RAW#*\{}"
CONTEXT="${CONTEXT%\}}"
else
AGENTS="${RAW%% *}"
CONTEXT="${RAW#* }"
fi
AGENTS="$(printf '%s' "$AGENTS" | sed 's/[[:space:]]*$//')"
CONTEXT="$(printf '%s' "$CONTEXT" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')"
"$RUNNER" call "$AGENTS" "$CONTEXT" --runtime codex
For each prepared agent, follow its returned output.entry_excerpt and
output.grounding.directive. The Hub returns BYOM instructions; Codex
executes with the current model and permission model.
Report failures separately and include the top-level receipt_id plus every
prepared agent execution_id.
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.