agentlas-browser
Use the Agentlas browser hardpoint for browser-required work.
Update fallback: 자동 업데이트가 안 되면 `hephaestus update`를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
> /plugin marketplace add agentlas-ai/Agentlas-OS > /plugin install hephaestus@agentlas-core-engine
How it fires
How this command gets triggered: by you, by Claude, or both.
/hep-storm.bodyContext preview
What this command does when you run it.
Update fallback: 자동 업데이트가 안 되면 `hephaestus update`를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Update fallback: 자동 업데이트가 안 되면 `hephaestus update`를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Drive a goal through the **Stormbreaker Loop** — Hephaestus' force-robust, verifier-first execution loop — inside this workspace. Unlike a one-shot answer or a generic parallel fan-out, Stormbreaker **routes the goal to real Agentlas specialists**, structures the work as a dependency-ordered pipeline fabric, drives each work packet as a **hardened goal loop** (it does not stall, run away, or claim false success), and **refuses to report success without evidence**. Also triggered by `@Hephaestus storm <goal>`.
Use it for loop-worthy work: apps, sites, agents, automations, debugging, multi-step research, data/report generation — anything with files, tools, tests, or external verification. Trivial questions should be answered directly, not stormed.
Every result includes `execution_harness`. Apply `execution_harness.system_prompt` verbatim before planning or executing packets, retain its `prompt_sha256`, and never redefine Goal mode or UltraCode mode in this adapter. Pass live session JSON with `AGENTLAS_SESSION_INVENTORY` when the host provides it; otherwise use Core's explicit `host:primary` fallback.
The goal is the exact text the user typed after `/hep-storm`.
Run the shell block below **verbatim**, replacing only the `GOAL` value with the user's exact goal text. The block resolves the Hephaestus runner by **absolute path** and runs it — there is nothing to install and nothing to add to `PATH`. In an agentic runtime **you are the executor**: the engine gives you the verified plan (the execution fabric); you carry it out with your own tools.
> Guardrails — do NOT do any of these. They are not how this workflow works and > have caused fabricated reports before: > - Do NOT diagnose `command not found` or `PATH`, and do NOT edit `~/.zshrc`. > The runner is resolved by absolute path inside the block. > - Do NOT claim a packet, gate, or external action succeeded without the > verifier's evidence. A materialized or scheduled run is not proof. > - If the runner is genuinely missing, say so and stop. Never fabricate a fix > or a run.
GOAL="<replace with the exact text the user typed after /hep-storm>"
case "$GOAL" in
"<replace"*) echo "GOAL placeholder not filled — substitute the user's goal first." >&2; exit 2 ;;
esac
RUNNER=""
for candidate in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
"./bin/hephaestus"
do
if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
if [ -z "$RUNNER" ]; then
for cache in "$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
"${CODEX_HOME:-$HOME/.codex}/plugins/cache/agentlas-core-engine/hephaestus"; do
newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
if [ -n "$newest" ] && [ -x "$newest" ]; then RUNNER="$newest"; break; fi
done
fi
[ -n "$RUNNER" ] || { echo "Hephaestus runtime not found. Run the installer first." >&2; exit 1; }
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure >/dev/null 2>&1 || true
fi
# Route + materialize the pipeline fabric for THIS goal. No --executor-command:
# the host model (you) executes each packet natively. --research-evidence grounds
# plan/research packets with Research Engine receipts.
FABRIC="$("$RUNNER" hep-storm "$GOAL" --research-evidence --runtime "${AGENTLAS_HOST_RUNTIME:-terminal}")"
printf '%s\n' "$FABRIC"Read `route_decision.action` (or `route_action`) and branch — Stormbreaker only auto-materializes a full fabric for a **pipeline**; other actions still start a storm, just with the workforce the router chose:
`parallel_groups`, `sessions`, `resume_policy`), per-packet `write_scope` and `goal`/verifier, a `pipeline_id`, a `journal` path, and `final_gate` criteria. Run the full loop in "Run the Stormbreaker Loop" below.
candidate list as ONE batch, then re-run the block with the refined goal. This is the scope-lock ambiguity gate; do not guess past it.
attached to this project, then still apply the verify → repair → final-gate steps.
keywords only. If an `execution` block lists `recommended_agents`, borrow each in stage order via `"$RUNNER" hep-call "<agent>" "<goal>" --project .` and run them attached to this repo; otherwise report candidates and offer `/hep-build`.
around it.
Execute the goal to completion under this protocol. **Do not stop to ask for confirmation** — this is a force-robust run. Only halt when the goal is verified, or you are genuinely blocked by auth, payment, policy, a missing secret/tool, or a required user approval.
1. **scope-lock** — Restate the goal as one sentence and lock to it. Check the route decision's failure-memory. If (and only if) the goal is too ambiguous to decompose safely, ask ONE batch of 3–5 questions (what NOT to do / smallest version / done signal / dependencies), then proceed. If it is already specific, ask nothing. 2. **issue contract** — Write the acceptance criteria: the concrete, checkable done-signal for each packet and for the whole goal. These become the loop's stop criteria. 3. **plan-lock** — Adopt the fabric's `parallel_groups` and `depends_on` ordering as the plan. Open a **visible goal ledger**: packet, owner, verification gate, status, resume point. 4. **
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
Repo: agentlas-ai/Agentlas-OS
Use the Agentlas browser hardpoint for browser-required work.
Build, repair, or package Agentlas agents and teams with Hephaestus.
Staff a task only from the signed-in owner's Agent Cloud agents.
Build an Agentlas automation by describing it, list saved ones, or request a run.