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/i4h-workflow-create

@79f1873
by NVIDIA Corporationnvidia/skills3.5k stars
424

Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.

Use this Skill: https://skilld.dev/gh/nvidia/skills/i4h-workflow-create

This session only. Nothing lands on disk.

BENCHMARK.md

≈1.8k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Skill Benchmark: i4h-workflow-create

✅ Overall verdict: PASS — Recommended for publication

Publication Recommendation

Recommended for publication based on the completed evaluation evidence in this report.

Evaluation Metadata

  • Skill: i4h-workflow-create
  • Evaluation date: 2026-09-21
  • Evaluator version: 1.5.6
  • Agents: Claude Code (aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5)
  • Tasks: 5 evaluation tasks (5 positive)
  • Dataset digest: sha256:5cc46d1f852070edff4a32347f96e7887fbdf3302ea6f9adbee8c105bd2f2e8a (skill-evaluator-dataset-snapshot/1)
  • Attempts per task: 3
  • Environment: k8s-sandbox
  • Tier 2 evidence: required for publication
  • Tier 3 evidence: required for publication

Each task attempt ran in its own isolated sandbox pod.

What This Report Answers

The three-tier evaluation checks whether the skill:

  • is safe to use;
  • produces correct answers;
  • is discovered and activated when needed;
  • helps the agent complete the user's goal and expected workflow; and
  • avoids wasted skill and tool usage.

Results at a Glance

Measure Claude Code (Baseline → Skill Uplift) Codex (Baseline → Skill Uplift)
Overall 80.8% — baseline ran, but no comparable score was available; uplift unavailable 79.3% — baseline ran, but no comparable score was available; uplift unavailable
Security 79.2% → 100.0% (+20.8 points) 100.0% → 100.0% (±0.0 points)
Correctness 35.0% → 80.0% (+45.0 points) 34.6% → 72.0% (+37.4 points)
Discoverability 98.2% — baseline ran, but no comparable score was available; uplift unavailable 93.0% — baseline ran, but no comparable score was available; uplift unavailable
Effectiveness 13.8% → 37.0% (+23.2 points) 24.8% → 34.0% (+9.2 points)
Efficiency 89.0% — baseline ran, but no comparable score was available; uplift unavailable 97.3% — baseline ran, but no comparable score was available; uplift unavailable

How to read this table: baseline is the same task attempted without the target skill. Scores are rounded to one decimal; threshold-adjacent values use additional precision so their displayed band matches the verdict. Uplift is derived from those displayed scores and shown in percentage points.

Example: 47.0% → 92.0% (+45.0 points) means the skill-assisted run scored 92.0%, 45.0 percentage points above its 47.0% no-skill baseline.

Token Usage

Actual Tier 3 execution usage is reported for every observed agent/case pair and both conditions.

Agent Dataset case With skill Without skill Delta Change Coverage
claude-code All cases 1,255,623 7,645,488 N/A N/A skill 5/5; base 12/12
claude-code i4h-workflow-create-existing-global-id 226,097 1,377,501 N/A N/A skill 1/1; base 3/3
claude-code i4h-workflow-create-generic-fast 297,088 1,246,881 N/A N/A skill 1/1; base 3/3
claude-code i4h-workflow-create-missing-specialty 92,904 4,361,294 N/A N/A skill 1/1; base 3/3
claude-code i4h-workflow-create-readme-blank 262,562 251,779 +10,783 +4.28% skill 1/1; base 1/1
claude-code i4h-workflow-create-readme-robotic-instrument-reach 376,972 408,033 N/A N/A skill 1/1; base 2/2
codex All cases 423,283 1,055,531 N/A N/A skill 5/5; base 11/11
codex i4h-workflow-create-existing-global-id 97,892 254,511 N/A N/A skill 1/1; base 3/3
codex i4h-workflow-create-generic-fast 92,316 267,136 N/A N/A skill 1/1; base 3/3
codex i4h-workflow-create-missing-specialty 28,288 306,233 N/A N/A skill 1/1; base 3/3
codex i4h-workflow-create-readme-blank 96,551 113,548 -16,997 -14.97% skill 1/1; base 1/1
codex i4h-workflow-create-readme-robotic-instrument-reach 108,236 114,103 -5,867 -5.14% skill 1/1; base 1/1
ALL AGENTS Dataset aggregate 1,678,906 8,701,019 N/A N/A skill 10/10; base 23/23

Prompt tokens include cached reads, so total tokens are prompt + completion (cached is not added twice). The Efficiency score uses (prompt - cached) + completion. N/A means the relevant trajectory counters were not available; coverage is never estimated.

Tier Status

Tier Purpose Status Evidence
Tier 1 Static validation PASSED WITH OBSERVATIONS 11 validator(s); 1 finding(s)
Tier 2 Semantic deduplication PASSED 2 validator(s); 0 finding(s)
Tier 3 Live agent evaluation PASS 2 agent(s); 5 task(s)

Findings and Observations

<details> <summary>Show detailed findings and successful checks</summary>
  • LOW QUALITY/quality_reliability: Inputs are used but no dedicated Inputs section is documented (team-skills/holoscan/i4h-workflows/i4h-workflow-create/SKILL.md)
</details>

Scoring Methodology

<details> <summary>Show dimension definitions, source signals, and thresholds</summary>
Dimension Question Scored signals
Security Is it safe to use? security (100%)
Correctness Is the answer correct? accuracy (100%)
Discoverability Was the right skill loaded when needed? skill_execution (100%)
Effectiveness Did the skill help complete the task? goal_accuracy (50%) + behavior_check (50%)
Efficiency Did it avoid wasted tool calls and token usage? skill_efficiency (50%) + token_efficiency (50%)
  • Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
  • Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
  • Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
  • The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
  • Effectiveness is the equal-weight mean of goal completion (goal_accuracy) and expected workflow adherence (behavior_check).
  • Efficiency is 50% tool-call productivity (the backward-compatible skill_efficiency wire id) and 50% token_efficiency. Positive-case skill routing is scored under Discoverability, not Efficiency; a negative case without a routing target is N/A. N/A sources are omitted, remaining weights are renormalized, and the dimension is marked partial.

Signals present in this run:

  • security (Security): unsafe operations, secret leakage, and unauthorized access.
  • skill_execution (Skill Execution): whether the expected skill was selected, decoys were avoided, and the workflow executed.
  • skill_efficiency (Tool Productivity): tool-call productivity (legacy wire id; routing is scored under Discoverability).
  • accuracy (Accuracy): final-answer correctness against the reference answer.
  • goal_accuracy (Goal Accuracy): whether the user's goal was achieved.
  • behavior_check (Behavior Check): whether the expected workflow behavior was followed.
  • token_efficiency (Token Efficiency): actual uncached prompt plus completion usage (50% of Efficiency).
</details>

Freshness

Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The skill is a specialized tool for NVIDIA Isaac Sim developers to scaffold new healthcare robotics workflows. It automates the creation of workspace files and performs static validation using local scripts and standard testing frameworks. All operations are local to the repository environment and external references belong to the legitimate vendor, NVIDIA.

  • Socket1d

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  • Snyk1d

    Risk: LOW · No issues

Signed by skilld at 79f1873. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated yesterday
Other metadata
metadata
{
  "author": "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>",
  "version": "0.8.0",
  "verification-request": "2026-09-15",
  "tags": [
    "isaac-for-healthcare",
    "i4h",
    "isaac-sim",
    "workflow-authoring"
  ]
}

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