NVIDIA-NeMo/Gym is a library and infrastructure for evaluating and improving models and agents inside environments, where each environment defines tasks, agent interaction, verification, and execution state. It is for teams running reproducible evaluations or training at scale across settings such as code execution, tool calling, and sandboxes, and the catalogue entries provide skills and instructions for working with it.
Borrowing it
Nothing to install: this file belongs to NVIDIA-NeMo/Gym. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/NVIDIA-NeMo/Gym/main/.agents/skills/nemo-gym-score-triage/SKILL.mdgit clone --depth 1 https://github.com/NVIDIA-NeMo/GymWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia-nemo/gym/nemo-gym-score-triage)<a href="https://agentmods.dev/skills/nvidia-nemo/gym/nemo-gym-score-triage"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/gym/nemo-gym-score-triage/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia-nemo/gym/nemo-gym-score-triage"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/gym/nemo-gym-score-triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00133 | $0.02016 |
| Opus 5.5 | $0.00053 | $0.00806 |
| Sonnet 5.5 | $0.00027 | $0.00403 |
| Haiku 4.5 | $0.00013 | $0.00202 |
Grade A, and why
nemo-gym-score-triage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeMo Gym Score Triage
Invocation Check
Use this skill when the question is "why is this number different?" rather than "why did this run fail?". Most reported gaps come from comparing unlike things: another code version, another benchmark version, another method, other failure accounting, or ordinary noise. Rule those out before treating the gap as a change in the model.
- If the run crashed, produced no rollouts, or the metrics file is missing, use the
nemo-gym-debuggingskill first. - If both runs are comparable and the question becomes which tasks fail and why, hand off to the
nemo-gym-blade-analysisskill. - For the meaning of profiling files and keys, see the
nemo-gym-reward-profilingskill.
Collect First
Get these for both sides of the comparison. A reference without a config or a date is a rough target, not a contract.
- Both numbers, and where each came from: document and section, leaderboard page and the date it was read, or a run directory.
- The run directory: rollouts JSONL,
*_failures.jsonl,*_materialized_inputs.jsonl,*_aggregate_metrics.json,*_resolved_config.yaml, and the health reportsquality_summary.jsonandrollout_verdicts.jsonl. - The Gym commit and config:
- Since #4908, every
gym eval runsaves its merged config, secrets masked, beside the rollouts as<stem>_resolved_config.yaml. It keeps${...}interpolations as written, so values read from environment variables (GDPval'sJUDGE_MODEL_NAME, for example) are not in it; take those from the launcher's environment ordriver.envinresolved-config.yaml. For older runs, rebuild the config withgym env resolve --config <benchmark config> --config <model config> ++key=value, which resolves today's YAML rather than what ran and fails on an unset environment variable without a default (set a dummy value). - Plain
gym eval runrecords no commit, so use the launcher's log orgit rev-parse HEADof the checkout that ran it. gym eval submitalso writesgym-job.jsonand the submit configresolved-config.yamlinto the run directory.gym_commitingym-job.jsonis the Gym that submitted the job (a-dirtysuffix means uncommitted changes or untracked files). The job itself runsdriver.gym_install.reffromresolved-config.yaml(a branch or tag resolves when each job starts), or the Gym inside the driver container when that is unset. That is the commit that scored the run.- Note container or image tags too.
- Since #4908, every
- Model, checkpoint and precision; serving engine and version; reasoning and tool-call parsers; parallelism and GPU type.
- Sampling and limits: temperature, top_p, max output tokens, context length, reasoning effort or mode, chat-template arguments, system prompt.
- Agent harness, judge model, user simulator, tools, timeouts, max steps or turns, and repeats.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 74 lines · 133 tokens per session scan A 53898ddae6d7
nemo-gym-score-triage is a skill published in the GitHub repository NVIDIA-NeMo/Gym (1,320 stars, last pushed today), licensed Apache-2.0. It adds 133 tokens to every session and 2,016 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.
nemo-gym-score-triage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nemo-gym-score-triageNVIDIA-NeMo/Gym | Skill | 1.3k | today | Apache-2.0 | A | 133 | Codex |
| model_finetuningvuralserhat86/antigravity-agentic-skills | Skill | 43 | 10mo ago | none | A | 67 | Claude Code, Codex |
| model_finetuningDonggangChen/antigravity-agentic-skills | Skill | 2 | 10mo ago | none | A | 67 | Claude Code, Codex |
| hugging-face-model-trainerpatchy631/ai-engineering-hub | Skill | 41k | 5d ago | MIT | A | 131 | Claude Code |
| hugging-face-datasetspatchy631/ai-engineering-hub | Skill | 41k | 5d ago | MIT | A | 49 | Claude Code |
| thinking-out-loudShubhamsaboo/awesome-llm-apps | Skill | 144k | yesterday | Apache-2.0 | A | 206 | Claude Code, Codex |
| azure-ai-ml-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 59 | Claude Code |