Fix skill-validation failures across all skills

.github/workflows/pr.yaml

@@ -244,6 +244,7 @@ jobs:
           - '!skills/**/skill-card.md'
           - '!skills/**/skill.oms.sig'
           - '!skills/**/evals/**'
+          - '!skills/**/benchmark/**'
           - '!skills/**/resources/**'
           - '!sonar-project.properties'
           - '!sonarqube/**'
@@ -308,6 +309,7 @@ jobs:
           - '!skills/**/skill-card.md'
           - '!skills/**/skill.oms.sig'
           - '!skills/**/evals/**'
+          - '!skills/**/benchmark/**'
           - '!skills/**/resources/**'
           - '!sonar-project.properties'
           - '!sonarqube/**'
@@ -373,6 +375,7 @@ jobs:
           - '!skills/**/skill-card.md'
           - '!skills/**/skill.oms.sig'
           - '!skills/**/evals/**'
+          - '!skills/**/benchmark/**'
           - '!skills/**/resources/**'
           - '!sonar-project.properties'
           - '!sonarqube/**'

skills/cuopt-developer/SKILL.md

@@ -2,6 +2,15 @@
 name: cuopt-developer
 version: "26.08.00"
 description: Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
+license: Apache-2.0
+metadata:
+  author: NVIDIA cuOpt Team
+  tags:
+    - cuopt
+    - development
+    - contributing
+    - cpp-cuda
+    - python-bindings
 ---
 
 # cuOpt Developer Skill

skills/cuopt-developer/evals/evals.json → skills/cuopt-developer/benchmark/evals.json

@@ -277,7 +277,7 @@
     "question": "Walk me through pushing a feature branch and opening a PR for cuOpt.",
     "expected_skill": "cuopt-developer",
     "expected_script": null,
-    "ground_truth": "cuOpt uses a fork workflow \u2014 branches are never pushed directly to NVIDIA/cuopt. The user clones the upstream repo, adds their fork as a remote (e.g., 'git remote add fork git@github.com:<username>/cuopt.git'), creates a feature branch from the appropriate base, commits work with 'git commit -s' for DCO sign-off, pushes to the fork ('git push fork <branch>'), and opens the PR from the fork to the upstream base branch. If the agent itself opens the PR (gh pr create), it must be a draft (--draft) so the developer can review before reviewers are pinged. The agent asks before running write operations like git push.",
+    "ground_truth": "cuOpt uses a fork workflow \u2014 branches are never pushed directly to NVIDIA/cuopt. The user clones the upstream repo, adds their fork as a remote (e.g., 'git remote add fork https://github.com/<username>/cuopt.git'), creates a feature branch from the appropriate base, commits work with 'git commit -s' for DCO sign-off, pushes to the fork ('git push fork <branch>'), and opens the PR from the fork to the upstream base branch. If the agent itself opens the PR (gh pr create), it must be a draft (--draft) so the developer can review before reviewers are pinged. The agent asks before running write operations like git push.",
     "expected_behavior": [
       "Names the fork workflow and that branches must not be pushed to upstream directly",
       "Mentions adding the fork remote (e.g., 'git remote add fork ...')",

skills/cuopt-developer/resources/contributing.md

@@ -32,11 +32,11 @@ Never push branches directly to the main cuOpt repository. Use the fork workflow
 
 ```bash
 # 1. Clone the main repo
-git clone git@github.com:NVIDIA/cuopt.git
+git clone https://github.com/NVIDIA/cuopt.git
 cd cuopt
 
 # 2. Add your fork as a remote
-git remote add fork git@github.com:<your-username>/cuopt.git
+git remote add fork https://github.com/<your-username>/cuopt.git
 
 # 3. Create a branch from the appropriate base
 git checkout -b my-feature-branch

skills/cuopt-developer/resources/python_bindings.md

@@ -106,6 +106,8 @@ def Solve(py_data_model_obj, settings, mip=False):
     return create_solution(move(sol_ret_ptr), data_model_obj)
 ```
 
+Always release the GIL around C++ calls that do GPU work — this allows other Python threads to run during solve.
+
 ### Step 6: C++ implementation receives the call
 
 `cpp/src/math_optimization/solver_settings.cu`:
@@ -145,15 +147,6 @@ settings.reset(new solver_settings_t[int, double]())
 # Auto-destroyed when scope exits
 ```
 
-### Releasing the GIL for GPU work
-
-```cython
-with nogil:
-    result = move(call_solve(problem_ptr, settings_ptr))
-```
-
-Always release the GIL around C++ calls that do GPU work. This allows other Python threads to run during solve.
-
 ### Bridging C++ enums to Python IntEnum
 
 ```python

skills/cuopt-developer/skill-card.md

@@ -0,0 +1,40 @@
+## Description: <br>
+Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions. <br>
+
+This skill is ready for commercial/non-commercial use. <br>
+
+## Owner: NVIDIA <br>
+
+### License/Terms of Use: <br>
+Apache 2.0 <br>
+## Use Case: <br>
+Developers and engineers contributing to the NVIDIA cuOpt codebase use this skill for building, testing, debugging, and submitting pull requests across C++/CUDA, Python, and server components. <br>
+
+### Deployment Geography for Use: <br>
+Global <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 GitHub Repository](https://github.com/NVIDIA/cuopt.git) <br>
+- [CUDA Compatibility Matrix](https://docs.nvidia.com/deploy/cuda-compatibility/) <br>
+- [RAPIDS Maintainers Docs](https://docs.rapids.ai/maintainers/) <br>
+
+
+## Skill Output: <br>
+**Output Type(s):** [Code, Shell commands, Configuration instructions] <br>
+**Output Format:** [Markdown with inline bash code blocks] <br>
+**Output Parameters:** [1D] <br>
+**Other Properties Related to Output:** [None] <br>
+
+## Skill Version(s): <br>
+26.08.00 (source: frontmatter) <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](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail). <br>

skills/cuopt-developer/skill.oms.sig

@@ -0,0 +1 @@
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skills/cuopt-install/SKILL.md

@@ -2,6 +2,15 @@
 name: cuopt-install
 version: "26.08.00"
 description: Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. Use when the user wants to install or verify cuOpt for any user-facing interface. For building cuOpt from source or contributing to cuOpt, see cuopt-developer.
+license: Apache-2.0
+metadata:
+  author: NVIDIA cuOpt Team
+  tags:
+    - cuopt
+    - install
+    - deployment
+    - python
+    - server
 ---
 
 # cuOpt Install (user)

skills/cuopt-install/skill-card.md

@@ -0,0 +1,38 @@
+## Description: <br>
+Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. <br>
+
+This skill is ready for commercial/non-commercial use. <br>
+
+## Owner: NVIDIA <br>
+
+### License/Terms of Use: <br>
+Apache 2.0 <br>
+## Use Case: <br>
+Developers and engineers who need to install or verify NVIDIA cuOpt for any user-facing interface (Python, C, or REST server) across local GPU, cloud, or Docker environments. <br>
+
+### Deployment Geography for Use: <br>
+Global <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>
+- [Verification Examples](resources/verification_examples.md) <br>
+- [cuOpt User Guide](https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html) <br>
+
+
+## Skill Output: <br>
+**Output Type(s):** [Shell commands, Configuration instructions] <br>
+**Output Format:** [Markdown with inline bash code blocks] <br>
+**Output Parameters:** [1D] <br>
+**Other Properties Related to Output:** [None] <br>
+
+## Skill Version(s): <br>
+26.08.00 (source: frontmatter) <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](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail). <br>

skills/cuopt-install/skill.oms.sig

@@ -0,0 +1 @@
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skills/cuopt-numerical-optimization-api-c/SKILL.md

@@ -2,6 +2,15 @@
 name: cuopt-numerical-optimization-api-c
 version: "26.08.00"
 description: LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++.
+license: Apache-2.0
+metadata:
+  author: NVIDIA cuOpt Team
+  tags:
+    - cuopt
+    - linear-programming
+    - milp
+    - qp
+    - c-api
 ---