Attach NVSkills validation signatures

Signed-off-by: nvskills-svc-account <svc-nvskills-signing@nvidia.com>

Author: svc-nvskills-signing

skills/cuopt-multi-objective-exploration/BENCHMARK.md

@@ -7,7 +7,7 @@ This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the s
 ## Evaluation Summary
 
 - Skill: `cuopt-multi-objective-exploration`
-- Evaluation date: 2026-06-26
+- Evaluation date: 2026-06-29
 - NVSkills-Eval profile: `external`
 - Environment: `astra-sandbox`
 - Dataset: 5 evaluation tasks
@@ -55,10 +55,10 @@ Task composition is derived from the evaluation dataset when possible. Entries w
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
 | Security | 5 | 100% (+0%) | 100% (+0%) |
-| Correctness | 5 | 90% (+37%) | 76% (+24%) |
-| Discoverability | 5 | 80% (+60%) | 71% (+41%) |
-| Effectiveness | 5 | 91% (+20%) | 68% (+10%) |
-| Efficiency | 5 | 80% (+40%) | 71% (+30%) |
+| Correctness | 5 | 90% (+0%) | 87% (-8%) |
+| Discoverability | 5 | 78% (-2%) | 73% (-22%) |
+| Effectiveness | 5 | 85% (-6%) | 85% (+2%) |
+| Efficiency | 5 | 75% (-3%) | 71% (-21%) |
 
 Score values show skill-assisted performance. Values in parentheses show uplift versus the no-skill baseline when baseline data is available.
 

skills/cuopt-multi-objective-exploration/skill-card.md

@@ -7,16 +7,16 @@ This skill is ready for commercial/non-commercial use. <br>
 NVIDIA <br>
 
 ### License/Terms of Use: <br>
-Apache 2.0 <br>
+Apache-2.0 <br>
 ## Use Case: <br>
-Developers and engineers exploring tradeoffs between competing objectives in optimization problems, tracing Pareto frontiers to make informed multi-objective decisions rather than accepting a single implicit weighting. <br>
+Developers and engineers exploring tradeoffs between competing objectives in optimization problems, using cuOpt to trace the Pareto frontier and interpret exchange rates rather than collapsing to a single weighted answer. <br>
 
 ### Deployment Geography for Use: <br>
 Global <br>
 
 ## Requirements / Dependencies: <br>
-**Requires API Key or External Credential:** [No] <br>
-**Credential Type(s):** [None] <br>  
+**Requires API Key or External Credential:** [Not Specified] <br>
+**Credential Type(s):** [None identified] <br>  
 
 Do not include secrets in prompts/logs/output; use least-privilege credentials; rotate keys as appropriate. <br>
 
@@ -26,23 +26,23 @@ Mitigation: Review and scan skill before deployment. <br>
 
 ## Reference(s): <br>
 - [cuOpt User Guide](https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html) <br>
-- [cuOpt Examples](https://github.com/NVIDIA/cuopt-examples) <br>
+- [cuopt-examples](https://github.com/NVIDIA/cuopt-examples) <br>
 
 
 ## Skill Output: <br>
 **Output Type(s):** [Analysis, Configuration instructions] <br>
-**Output Format:** [Markdown with inline code blocks] <br>
+**Output Format:** [Markdown with inline formulations and solver-call patterns] <br>
 **Output Parameters:** [1D] <br>
 **Other Properties Related to Output:** [None] <br>
 
 ## Evaluation Agents Used: <br>
-- Claude Code (`claude-code`) <br>
-- Codex (`codex`) <br>
+- claude-code <br>
+- codex <br>
 
 
 
 ## Evaluation Tasks: <br>
-Evaluated against 5 evaluation tasks (4 positive activation, 1 negative activation) using NVSkills-Eval external profile in astra-sandbox environment. <br>
+Evaluated against 5 internal evaluation tasks (4 positive skill-activation, 1 negative). <br>
 
 ## Evaluation Metrics Used: <br>
 Reported benchmark dimensions: <br>
@@ -67,10 +67,10 @@ Underlying evaluation signals used in this run: <br>
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
 | Security | 5 | 100% (+0%) | 100% (+0%) |
-| Correctness | 5 | 90% (+37%) | 76% (+24%) |
-| Discoverability | 5 | 80% (+60%) | 71% (+41%) |
-| Effectiveness | 5 | 91% (+20%) | 68% (+10%) |
-| Efficiency | 5 | 80% (+40%) | 71% (+30%) |
+| Correctness | 5 | 90% (+0%) | 87% (-8%) |
+| Discoverability | 5 | 78% (-2%) | 73% (-22%) |
+| Effectiveness | 5 | 85% (-6%) | 85% (+2%) |
+| Efficiency | 5 | 75% (-3%) | 71% (-21%) |
 
 ## Skill Version(s): <br>
 26.08.00 (source: frontmatter) <br>

skills/cuopt-multi-objective-exploration/skill.oms.sig

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skills/cuopt-routing-api-python/BENCHMARK.md

@@ -7,13 +7,13 @@ This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the s
 ## Evaluation Summary
 
 - Skill: `cuopt-routing-api-python`
-- Evaluation date: 2026-05-29
+- Evaluation date: 2026-06-29
 - NVSkills-Eval profile: `external`
-- Environment: `local`
+- Environment: `astra-sandbox`
 - Dataset: 1 evaluation tasks
-- Attempts per task: 2
+- Attempts per task: 1
 - Pass threshold: 50%
-- Overall verdict: FAIL
+- Overall verdict: PASS
 
 ## Agents Used
 
@@ -54,46 +54,27 @@ Task composition is derived from the evaluation dataset when possible. Entries w
 
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
-| Security | 2 | 100% (+0%) | 100% (+0%) |
-| Correctness | 2 | 100% (+0%) | 95% (+3%) |
-| Discoverability | 2 | 100% (+0%) | 70% (-5%) |
-| Effectiveness | 2 | 83% (+14%) | 83% (+12%) |
-| Efficiency | 2 | 93% (-0%) | 56% (-5%) |
+| Security | 1 | 100% (+0%) | 100% (+0%) |
+| Correctness | 1 | 100% (+70%) | 97% (+42%) |
+| Discoverability | 1 | 100% (+100%) | 82% (+57%) |
+| Effectiveness | 1 | 82% (+45%) | 74% (+29%) |
+| Efficiency | 1 | 95% (+67%) | 72% (+45%) |
 
 Score values show skill-assisted performance. Values in parentheses show uplift versus the no-skill baseline when baseline data is available.
 
 ## Tier 1: Static Validation Summary
 
-Tier 1 validation passed with observations. NVSkills-Eval ran 9 checks and found 8 total findings.
+Tier 1 validation passed with observations. NVSkills-Eval ran 1 checks and found 2 total findings.
 
 Top findings:
 
 - MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/cuopt-routing-api-python/SKILL.md`)
-- MEDIUM SECURITY/Unknown (SQP-2): Binding the cuOpt server to 0.0.0.0 exposes it on all network interfaces, making it accessible to any host that can reac (`references/server_examples.md:7`)
-- LOW QUALITY/quality_discoverability: No '## Purpose' section (`skills/cuopt-routing-api-python/SKILL.md`)
-- LOW QUALITY/quality_reliability: No prerequisites/requirements documented (`skills/cuopt-routing-api-python/SKILL.md`)
-- LOW QUALITY/quality_reliability: No limitations documented (`skills/cuopt-routing-api-python/SKILL.md`)
+- LOW SCHEMA/author_format: Author must be of the form 'Name <email@host>' (`skills/cuopt-routing-api-python/SKILL.md`)
 
 ## Tier 2: Deduplication Summary
 
-Tier 2 validation reported findings. NVSkills-Eval ran 2 checks and found 4 total findings.
-
-Top findings:
-
-- HIGH DUPLICATE/duplicate: Duplicate content found within references/server_examples.md:
-  "# Poll for solution" in references/server_examples.md (lines 45-51)
-  vs "# Poll for solution" in references/server_examples.md (lines 156-162) (`references/server_examples.md:45`)
-- HIGH DUPLICATE/duplicate: Duplicate content found across SKILL.md and references/examples.md:
-  "# Capacities" in SKILL.md (lines 30-35)
-  vs "# Add capacity dimension (name, demand_per_order, capacity_per_vehicle)" in references/examples.md (lines 73-75)
-  vs "# Add capacity dimension" in references/examples.md (lines 156-158) (`SKILL.md:30`)
-- HIGH DUPLICATE/duplicate: Duplicate content found across references/examples.md and references/server_examples.md:
-  "## Additional References (tested in CI)" in references/examples.md (lines 237-249)
-  vs "## Additional References (tested in CI)" in references/server_examples.md (lines 193-204) (`references/examples.md:237`)
-- HIGH DUPLICATE/duplicate: Duplicate content found across assets/pdp_basic/README.md and assets/pdp_basic/model.py:
-  "# Pickup-Delivery (PDP)" in assets/pdp_basic/README.md (lines 1-7)
-  vs "(module docstring)" in assets/pdp_basic/model.py (lines 1-2) (`assets/pdp_basic/README.md:1`)
+This tier was not run or did not produce findings in this report.
 
 ## Publication Recommendation
 
-The skill should be reviewed before NVSkills-Eval publication. Skill owners should address the findings above and rerun NVSkills-Eval to refresh this benchmark.
+The skill is suitable to proceed toward NVSkills-Eval publication based on this benchmark. Skill owners should keep this file with the skill and refresh it when the evaluation dataset, skill behavior, or target agents materially change.

skills/cuopt-routing-api-python/skill-card.md

@@ -9,25 +9,31 @@ NVIDIA <br>
 ### License/Terms of Use: <br>
 Apache-2.0 <br>
 ## Use Case: <br>
-Developers and engineers building or solving vehicle routing problems (VRP, TSP, PDP) using the NVIDIA cuOpt Python API. <br>
+Developers and engineers building or solving vehicle routing optimization problems (VRP, TSP, PDP) using the NVIDIA cuOpt Python API. <br>
 
 ### Deployment Geography for Use: <br>
 Global <br>
 
+## Requirements / Dependencies: <br>
+**Requires API Key or External Credential:** [Not Specified] <br>
+**Credential Type(s):** [None identified] <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>
-- [Python API Examples (VRP, PDP, multi-depot)](references/examples.md) <br>
-- [REST Server Examples](references/server_examples.md) <br>
+- [examples.md](references/examples.md) <br>
+- [server_examples.md](references/server_examples.md) <br>
 - [cuOpt User Guide](https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html) <br>
-- [cuOpt Examples Repository](https://github.com/NVIDIA/cuopt-examples) <br>
+- [cuopt-examples](https://github.com/NVIDIA/cuopt-examples) <br>
 
 
 ## Skill Output: <br>
-**Output Type(s):** [Code, API Calls] <br>
-**Output Format:** [Python code with cudf/cuOpt API calls] <br>
+**Output Type(s):** [Code, API Calls, Configuration instructions] <br>
+**Output Format:** [Markdown with inline Python code blocks] <br>
 **Output Parameters:** [1D] <br>
 **Other Properties Related to Output:** [None] <br>
 
@@ -38,7 +44,7 @@ Mitigation: Review and scan skill before deployment. <br>
 
 
 ## Evaluation Tasks: <br>
-1 evaluation task (positive skill-activation), 2 attempts per task, pass threshold 50%. <br>
+Evaluated against 1 evaluation task in the `external` NVSkills-Eval profile (environment: astra-sandbox). <br>
 
 ## Evaluation Metrics Used: <br>
 Reported benchmark dimensions: <br>
@@ -62,11 +68,11 @@ Underlying evaluation signals used in this run: <br>
 ## Evaluation Results: <br>
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
-| Security | 2 | 100% (+0%) | 100% (+0%) |
-| Correctness | 2 | 100% (+0%) | 95% (+3%) |
-| Discoverability | 2 | 100% (+0%) | 70% (-5%) |
-| Effectiveness | 2 | 83% (+14%) | 83% (+12%) |
-| Efficiency | 2 | 93% (-0%) | 56% (-5%) |
+| Security | 1 | 100% (+0%) | 100% (+0%) |
+| Correctness | 1 | 100% (+70%) | 97% (+42%) |
+| Discoverability | 1 | 100% (+100%) | 82% (+57%) |
+| Effectiveness | 1 | 82% (+45%) | 74% (+29%) |
+| Efficiency | 1 | 95% (+67%) | 72% (+45%) |
 
 ## Skill Version(s): <br>
 26.08.00 (source: frontmatter) <br>