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.claude/skills/agentlas-ai-hep-cloud/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 258% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 54% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 157% | 0% |
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Raw request: $ARGUMENTS
Use MCP server hephaestus-network and exact sourceScope: "cloud". Author a redacted agentlas.workforce-work-order.v1, call workforce.search_candidates with {workOrder, sourceScope: "cloud"} and keep the source receipt plus selectionSessionId; do not echo the projected menu as a complete 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 cloud plus its exact release/package/content/runtime/permission/context identity.
Run planner/manager, selected workers, synthesis, and verifier as distinct invocations with artifact handoffs and preserve Team graphs. Report the exact finite Core refusal (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. Never search Local or public Hub, invoke legacy routing, accept a deterministic picker, or treat a prepared bundle as execution proof.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 10,927 | 5,997 | -45% | 1 | 1 | 0% | 244 | 908 | +272% | 0 | 0 | — |
case-02 | fail→fail | 27,274 | 49,365 | +81% | 1 | 1 | 0% | 4,866 | 9,029 | +86% | 0 | 0 | — |
case-03 | fail→fail | 10,392 | 24,874 | +139% | 1 | 1 | 0% | 1,263 | 1,482 | +17% | 0 | 0 | — |
case-04 | fail→fail | 14,137 | 14,918 | +6% | 1 | 1 | 0% | 2,043 | 1,518 | -26% | 0 | 0 | — |
case-05 | fail→pass | 14,923 | 22,498 | +51% | 1 | 1 | 0% | 2,067 | 1,730 | -16% | 0 | 0 | — |
case-06 | fail→fail | 15,958 | 26,113 | +64% | 1 | 1 | 0% | 2,290 | 1,823 | -20% | 0 | 0 | — |
case-07 | fail→pass | 14,071 | 39,381 | +180% | 1 | 1 | 0% | 2,133 | 7,630 | +258% | 0 | 0 | — |
case-08 | fail→pass | 13,755 | 8,310 | -40% | 1 | 1 | 0% | 1,817 | 1,739 | -4% | 0 | 0 | — |
case-09 | pass→pass | 10,251 | 28,372 | +177% | 1 | 1 | 0% | 1,381 | 3,512 | +154% | 0 | 0 | — |
case-10 | fail→fail | 13,453 | 6,668 | -50% | 1 | 1 | 0% | 1,797 | 785 | -56% | 0 | 0 | — |
case-11 | fail→fail | 16,785 | 52,125 | +211% | 1 | 1 | 0% | 2,519 | 994 | -61% | 0 | 0 | — |
case-12 | fail→pass | 8,846 | 20,741 | +134% | 1 | 1 | 0% | 1,131 | 1,738 | +54% | 0 | 0 | — |
case-13 | fail→fail | 16,544 | 23,152 | +40% | 1 | 1 | 0% | 2,368 | 1,707 | -28% | 0 | 0 | — |
case-14 | fail→pass | 9,907 | 28,018 | +183% | 1 | 1 | 0% | 1,428 | 3,673 | +157% | 0 | 0 | — |
case-15 | fail→pass | 7,957 | 2,846 | -64% | 1 | 1 | 0% | 1,113 | 746 | -33% | 0 | 0 | — |
case-16 | fail→fail | 13,941 | 8,164 | -41% | 1 | 1 | 0% | 1,904 | 787 | -59% | 0 | 0 | — |
case-17 | fail→pass | 11,642 | 17,477 | +50% | 1 | 1 | 0% | 1,361 | 856 | -37% | 0 | 0 | — |
case-18 | fail→pass | 13,840 | 12,513 | -10% | 1 | 1 | 0% | 1,944 | 1,158 | -40% | 0 | 0 | — |
case-19 | fail→pass | 9,612 | 6,290 | -35% | 1 | 1 | 0% | 1,449 | 1,177 | -19% | 0 | 0 | — |
case-20 | fail→pass | 14,258 | 5,389 | -62% | 1 | 1 | 0% | 2,055 | 1,098 | -47% | 0 | 0 | — |
case-21 | pass→pass | 11,867 | 23,821 | +101% | 1 | 1 | 0% | 1,770 | 2,603 | +47% | 0 | 0 | — |
case-22 | pass→fail | 14,786 | 30,724 | +108% | 1 | 1 | 0% | 2,429 | 1,314 | -46% | 0 | 0 | — |
case-23 | pass→pass | 9,913 | 19,018 | +92% | 1 | 1 | 0% | 1,597 | 2,515 | +57% | 0 | 0 | — |
case-24 | pass→pass | 7,496 | 29,766 | +297% | 1 | 1 | 0% | 1,223 | 3,455 | +183% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted, and 14 counted toward the lift figure. The other 10 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +38 percentage points is the difference between those two pass rates over the 14 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.