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

Hephaestus Stormbreaker Loop

Drive a goal through the Stormbreaker Loop — Hephaestus' force-robust, verifier-first execution loop. 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. Route this request through the Stormbreaker engine via the exec tool. Never guess an agent yourself when this skill is active — the router decides the workforce.

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. Also triggered by @Hephaestus storm <goal>.

Core-owned Goal + UltraCode harness

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.

1. Resolve the runner and materialize the execution fabric

The Stormbreaker engine routes the goal and materializes a pipeline fabric (packets, parallel groups, dependency gates, goal loops, a final gate, and a resumable journal). In an agentic runtime you are the executor — the engine gives you the verified plan; you carry it out with your own tools.

Run this resolution with exec and use the first hit:

RUNNER=""
for c in \
  "$HOME/.agentlas/runtime/current/bin/hephaestus" \
  ./bin/hephaestus
do [ -x "$c" ] && RUNNER="$c" && break; done
if [ -z "$RUNNER" ]; then
  for cache in \
    "$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
    "$HOME/.codex/plugins/cache/agentlas-core-engine/hephaestus"; do
    newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
    [ -n "$newest" ] && [ -x "$newest" ] && RUNNER="$newest" && break
  done
fi

If no runner exists, tell the user to run the one-touch installer: curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | bash

Ensure Agentlas is signed in, then 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.

if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
  "$RUNNER" auth ensure --timeout 180 >/dev/null 2>&1 || true
fi
FABRIC="$("$RUNNER" hep-storm "<the user's goal>" --research-evidence)"
printf '%s\n' "$FABRIC"

auth ensure opens the user's default browser only when there is no valid local Agentlas sign-in yet; if a saved sign-in exists it silently reuses it. For CI/headless checks only, set HEPHAESTUS_AUTH_AUTOPOPUP=0 and skip it.

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:

• pipeline — the result carries the execution_fabric (packets, 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 §2.
• clarify — the goal is ambiguous. Ask clarify_question with the candidate list as ONE batch, then re-run "$RUNNER" hep-storm "<refined goal>" --research-evidence. This is the scope-lock ambiguity gate; do not guess past it.
• route (single card) — a one-agent storm: borrow and run that card attached to this project, then still apply the verify → repair → final-gate steps.
• hub_fallback / hub_candidates — Hub lookup used redacted keywords only. If an execution block lists recommended_agents, borrow each in stage order via "$RUNNER" hep-call "<agent>" "<goal>" --project . and run them attached to this repo; otherwise report candidates and offer /hep-build.
• propose_new — no fit exists; offer to build one via /hep-build.
• refuse — explain reasons (e.g. loop guard) and stop. Do not retry around it.

2. Run the Stormbreaker Loop over the fabric

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. act — Execute the next unblocked group. Run independent packets in the group concurrently (delegate where the runtime supports it). When a packet's card names an Agentlas specialist, borrow and run it attached to this project via "$RUNNER" hep-call "<card>" "<goal>" --project . rather than role-playing it. Write artifacts to each packet's write_scope.
5. verify — A packet passes only when its verifier passes (a packet with a loop.goal_command is met when that command exits 0; an artifact packet is met when its acceptance check passes). "It ran" is never success.
6. bounded repair/retry — On a concrete validation failure, repair and re-run that packet — bounded. Honor the goal-loop budget: tolerate transient failures with backoff, stop a packet as stalled after consecutive no-progress iterations, and never exceed its iteration ceiling. A resumed run continues from the journal, it does not restart.
7. final-gate — Report success only if the fabric's final gate clears (can_report_success). Run the evidence/security gate on produced artifacts.

Keep visible progress concise: what was attempted, what was verified, and exactly where to resume if blocked. Never expose hidden reasoning — show progress, evidence, decisions, and final status only.

3. Loop invariants (why this beats a one-shot loop)

• Don't break (안 끊기게): a transient packet failure is journaled and retried with backoff, not fatal. Only a genuine streak of hard failures stops the run.
• Don't run away: a hard iteration ceiling plus stall detection — measured no-progress stops the loop as stalled instead of spinning.
• Keep the goal until done (될 때까지): the loop reports reached_goal only when the verifier proves it. No bare "it ran" ever counts.
• Survive a hard stop: every packet is a journal step, so a killed run resumes its numbering from the journal instead of colliding or restarting from zero.

4. Hard rules

• No fake pass. If the engine is unavailable, an account/tool/connector/browser session is missing, or a gate did not run, report the run as blocked or unverified with the exact next step — never as complete. A scheduled or materialized run is not proof that an external action succeeded.
• The router only chooses agents and fetches BYOM bundles. Actual tool execution follows this runtime's own safety and permission model.
• Report the receipt_id, pipeline_id, and journal path in your final message so the run is auditable and resumable.

Examples

/hep-storm ship a working waitlist landing page with a verified signup flow
/hep-storm 이 리포 결제 버그를 재현 PoC까지 만들어서 고치고 회귀 테스트로 검증해줘
@Hephaestus storm turn this research question into a cited report with evidence