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Benchmark task execution contract: complete every numbered requirement, execute tool calls directly (never plan-only), and verify final state with a direct retrieve/list before responding. Use for every agentic-use benchmark task.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill benchmark-execution명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Fine-tune models on NeMo Platform with `automodel`, `unsloth`, or `rl` (all `submit`-only): HF dataset conversion, filesets, model entities, and job JSON (hyperparameters, batch, schedule, optimizer) + job polling. `automodel`/`unsloth` run SFT/LoRA as Docker GPU jobs; `rl` runs DPO (preference) or GRPO (NeMo Gym environment + reward) on a Ray cluster (Kubernetes). Covers building and converting NeMo Gym environment packages (native-v1, wheels-v1, adapter-wheels-v1) and Gym rollout-row datasets. Use for train, fine-tune, customize, SFT, LoRA, DPO, GRPO, RLHF, reinforcement learning, reward environment, NeMo Gym, verifiers, Prime Intellect, preference optimization, learning rate, epochs, or nemo customization.
Generate, validate, and measure an audit-spec coverage denominator for Eval Author. Use when the user wants a hand-editable audit.md file derived from Ethos, needs schema enforcement for declared tools, capabilities, failure cases, evidence, and references, or wants to measure which audit items one ATIF trace covers. Changes none of the user's source, and saves audit artifacts under `.eval-author/`.
Work on evaluation suites in a user's repository or understand an agent run from NeMo Intake. Owns the evidence standard that every Eval Author sub-flow follows. Use when the user asks "help me with my evals", "what's the state of the eval suite here?", "what happened in this trace?", or when you need to pick between the Eval Author sub-flows. Routes to a sub-flow and changes none of the user's source. The selected sub-flow uses the provider's supported tools and saves its findings under `.eval-author/`.
SKILL.md 표시 중
| name | benchmark-execution |
| description | Benchmark task execution contract: complete every numbered requirement, execute tool calls directly (never plan-only), and verify final state with a direct retrieve/list before responding. Use for every agentic-use benchmark task. |
This skill defines the execution requirements that every nemo-studio-assistant run under
tests/agentic-use/ must satisfy so the canonical gate
(tests/agentic-use/passrate_token_policy_gate.py) can score the run on
verifier pass-rate and token totals. See
tests/agentic-use/README.md
for the full Run -> Gate -> Optimize loop these tasks plug into.
instruction.md as the task contract: finish all numbered requirements.