Description: <br>
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections. <br>
This skill is ready for commercial/non-commercial use. <br>
Owner
NVIDIA <br>
License/Terms of Use: <br>
CC-BY-4.0 AND Apache 2.0 <br>
Use Case: <br>
Developers and engineers creating deterministic encoder configuration recipes for NVIDIA Jetson video encoding workflows using Video Codec SDK and PyNvVideoCodec. <br>
Deployment Geography for Use: <br>
Global <br>
Requirements / Dependencies: <br>
Requires API Key or External Credential: [No] <br> Credential Type(s): [None] <br>
Do not include secrets in prompts/logs/output; use least-privilege credentials; rotate keys as appropriate. <br>
Known Risks and Mitigations: <br>
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>
Reference(s): <br>
- NVENC/PyVC Knob Checklist <br>
- Encoder Recipe Contract <br>
- Agent Skills <br>
Skill Output: <br>
Output Type(s): [Configuration instructions, Files] <br> Output Format: [JSON] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Canonical sorted JSON with absolute path, byte count, and SHA-256] <br>
Evaluation Agents Used: <br>
- Claude Code (
aws/anthropic/bedrock-claude-opus-4-8) <br> - Codex (
openai/openai/gpt-5.5) <br>
Evaluation Tasks: <br>
4 evaluation tasks (4 positive) across 2 agents, 3 attempts per task, in isolated k8s-sandbox pods. <br>
Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Whether the skill is safe to use: checks for unsafe operations, secret leakage, and unauthorized access. <br>
- Correctness: Whether the final answer is correct against the reference answer. <br>
- Discoverability: Whether the right skill was selected, decoys were avoided, and the expected workflow executed. <br>
- Effectiveness: Whether the skill helped complete the user's goal (50% goal completion + 50% expected workflow adherence). <br>
- Efficiency: Whether wasted tool calls and token usage were avoided (50% tool-call productivity + 50% token efficiency). <br>
Underlying evaluation signals used in this run: <br>
security: Unsafe operations, secret leakage, and unauthorized access. <br>skill_execution: Whether the expected skill was selected, decoys were avoided, and the workflow executed. <br>accuracy: Final-answer correctness against the reference answer. <br>goal_accuracy: Whether the user's goal was achieved. <br>behavior_check: Whether the expected workflow behavior was followed. <br>skill_efficiency: Tool-call productivity. <br>token_efficiency: Actual uncached prompt plus completion usage. <br>
Evaluation Results: <br>
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 97.6% | 91.7% |
| Security | 100.0% → 100.0% (±0.0 points) | 100.0% → 100.0% (±0.0 points) |
| Correctness | 85.0% → 100.0% (+15.0 points) | 53.3% → 95.0% (+41.7 points) |
| Discoverability | 100.0% | 92.5% |
| Effectiveness | 45.2% → 100.0% (+54.8 points) | 20.0% → 77.7% (+57.7 points) |
| Efficiency | 87.8% | 93.0% |
Skill Version(s): <br>
74bce4d (source: git SHA, committed 2026-09-16) <br>
Ethical Considerations: <br>
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>
(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>