skills(multi-objective): trigger re-eval after adding eval-005

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

@@ -7,10 +7,10 @@ This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the s
 ## Evaluation Summary
 
 - Skill: `cuopt-multi-objective-exploration`
-- Evaluation date: 2026-06-12
+- Evaluation date: 2026-06-25
 - NVSkills-Eval profile: `external`
 - Environment: `astra-sandbox`
-- Dataset: 4 evaluation tasks
+- Dataset: 5 evaluation tasks
 - Attempts per task: 1
 - Pass threshold: 50%
 - Overall verdict: PASS
@@ -42,9 +42,9 @@ Underlying evaluation signals used in this run:
 
 ## Test Tasks
 
-The benchmark dataset contained 4 evaluation tasks:
+The benchmark dataset contained 5 evaluation tasks:
 
-- Positive tasks: 3 tasks where the skill was expected to activate.
+- Positive tasks: 4 tasks where the skill was expected to activate.
 - Negative tasks: 1 tasks where no skill was expected.
 - Unlabeled tasks: 0 tasks where positive/negative intent could not be inferred.
 
@@ -54,11 +54,11 @@ Task composition is derived from the evaluation dataset when possible. Entries w
 
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
-| Security | 4 | 100% (+0%) | 100% (+0%) |
-| Correctness | 4 | 88% (+38%) | 76% (+20%) |
-| Discoverability | 4 | 75% (+50%) | 66% (+35%) |
-| Effectiveness | 4 | 87% (+15%) | 77% (+5%) |
-| Efficiency | 4 | 76% (+33%) | 65% (+22%) |
+| Security | 5 | 100% (+0%) | 100% (+0%) |
+| Correctness | 5 | 70% (+38%) | 80% (+22%) |
+| Discoverability | 5 | 60% (+40%) | 72% (+42%) |
+| Effectiveness | 5 | 78% (+25%) | 69% (+6%) |
+| Efficiency | 5 | 66% (+26%) | 71% (+30%) |
 
 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.md

@@ -15,7 +15,6 @@ metadata:
 ---
 
 
-
 # Multi-Objective Exploration
 
 

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

@@ -7,25 +7,31 @@ 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, using cuOpt to trace Pareto frontiers and interpret exchange rates across cost, service level, risk, and other conflicting goals. <br>
+Developers and engineers exploring multi-objective tradeoffs (cost vs. service level, return vs. risk, makespan vs. overtime) who need to trace and interpret Pareto frontiers using cuOpt solves rather than collapsing competing objectives into a single weighted number. <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>
 - [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, Code] <br>
-**Output Format:** [Markdown with inline code blocks] <br>
+**Output Type(s):** [Analysis, Configuration instructions] <br>
+**Output Format:** [Markdown with structured tradeoff tables and frontier interpretations] <br>
 **Output Parameters:** [1D] <br>
 **Other Properties Related to Output:** [None] <br>
 
@@ -36,7 +42,7 @@ Mitigation: Review and scan skill before deployment. <br>
 
 
 ## Evaluation Tasks: <br>
-Evaluated against 4 tasks (3 positive skill-activation, 1 negative) via NVSkills-Eval external profile. <br>
+Evaluated against 5 evaluation tasks (4 positive skill-activation, 1 negative) in NVSkills-Eval external profile. <br>
 
 ## Evaluation Metrics Used: <br>
 Reported benchmark dimensions: <br>
@@ -60,16 +66,11 @@ Underlying evaluation signals used in this run: <br>
 ## Evaluation Results: <br>
 | Dimension | Num | `claude-code` | `codex` |
 |---|---:|---:|---:|
-| Security | 4 | 100% (+0%) | 100% (+0%) |
-| Correctness | 4 | 88% (+38%) | 76% (+20%) |
-| Discoverability | 4 | 75% (+50%) | 66% (+35%) |
-| Effectiveness | 4 | 87% (+15%) | 77% (+5%) |
-| Efficiency | 4 | 76% (+33%) | 65% (+22%) |
-
-## Testing Completed: <br>
-**[x] Agent Red-Teaming** <br>
-**[ ] Network Security** <br>
-**[ ] Product Security** <br>
+| Security | 5 | 100% (+0%) | 100% (+0%) |
+| Correctness | 5 | 70% (+38%) | 80% (+22%) |
+| Discoverability | 5 | 60% (+40%) | 72% (+42%) |
+| Effectiveness | 5 | 78% (+25%) | 69% (+6%) |
+| Efficiency | 5 | 66% (+26%) | 71% (+30%) |
 
 ## Skill Version(s): <br>
 26.08.00 (source: frontmatter) <br>

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

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