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skills/cuopt-numerical-optimization-api-c: Add eval - #1327
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Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
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ramakrishnap-nv
marked this pull request as ready for review
May 28, 2026 23:14
ramakrishnap-nv
commented
May 28, 2026
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/nvskills-ci |
📝 WalkthroughWalkthroughThis PR adds an "API Call Sequence" to the cuOpt C API skill, adds an eval expecting ordered API entry-point names, reformats C example initializers and updates build instructions, expands the skill card and adds a BENCHMARK report, and replaces the Sigstore DSSE bundle. ChangesC API Documentation and Examples
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
Suggested reviewers
🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 inconclusive)
✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
skills/cuopt-numerical-optimization-api-c/SKILL.md (1)
27-27: ⚡ Quick winConsider including solver settings creation in the API sequence.
The documented sequence omits
cuOptCreateSolverSettings, which is required beforecuOptSolveaccording to the example code inassets/lp_basic/lp_simple.c(lines 38, 98). The complete sequence is: create problem → create settings → configure settings → solve → get results → destroy all three objects.📝 Suggested documentation improvement
-For LP/MILP, the ordered C entry points are: `cuOptCreateRangedProblem` (sense `CUOPT_MINIMIZE` / `CUOPT_MAXIMIZE`, CSR constraint matrix as `row_offsets` / `col_indices` / `values`, `var_types` char array using `CUOPT_CONTINUOUS` / `CUOPT_INTEGER` macros) → `cuOptSolve(problem, settings, &solution)` → `cuOptGetObjectiveValue(solution, &obj_value)` → matching `cuOptDestroy*` calls. Include `<cuopt/linear_programming/cuopt_c.h>`. Full ordered code with build instructions in [references/examples.md](references/examples.md).+For LP/MILP, the ordered C entry points are: `cuOptCreateRangedProblem` (sense `CUOPT_MINIMIZE` / `CUOPT_MAXIMIZE`, CSR constraint matrix as `row_offsets` / `col_indices` / `values`, `var_types` char array using `CUOPT_CONTINUOUS` / `CUOPT_INTEGER` macros) → `cuOptCreateSolverSettings(&settings)` → optional parameter configuration → `cuOptSolve(problem, settings, &solution)` → `cuOptGetObjectiveValue(solution, &obj_value)` → `cuOptDestroyProblem`, `cuOptDestroySolverSettings`, `cuOptDestroySolution`. Include `<cuopt/linear_programming/cuopt_c.h>`. Full ordered code with build instructions in [references/examples.md](references/examples.md).🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@skills/cuopt-numerical-optimization-api-c/SKILL.md` at line 27, The sequence for LP/MILP documentation omits creating solver settings; update the paragraph to include calling cuOptCreateSolverSettings (and any config steps) between cuOptCreateRangedProblem and cuOptSolve so the full ordered flow reads: cuOptCreateRangedProblem → cuOptCreateSolverSettings → configure settings → cuOptSolve(problem, settings, &solution) → cuOptGetObjectiveValue(solution, &obj_value) → matching cuOptDestroy* calls; also mention including <cuopt/linear_programming/cuopt_c.h> as before and mirror the example in assets/lp_basic/lp_simple.c for accuracy.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@skills/cuopt-numerical-optimization-api-c/evals/evals.json`:
- Around line 4-11: Update the expected list to include the required struct
types and missing API calls in order: include
cuopt/linear_programming/cuopt_c.h, then structs cuOptOptimizationProblem,
cuOptSolverSettings, cuOptSolution, then call cuOptCreateRangedProblem,
cuOptCreateSolverSettings, cuOptSolve(problem, settings, &solution),
cuOptGetObjectiveValue, and finally cleanup with cuOptDestroyProblem,
cuOptDestroySolverSettings, cuOptDestroySolution; reference these exact symbols
(cuOptCreateRangedProblem, cuOptCreateSolverSettings, cuOptSolve,
cuOptGetObjectiveValue, cuOptDestroyProblem, cuOptDestroySolverSettings,
cuOptDestroySolution and the structs) so the eval expects both functions and
structs in the proper sequence.
---
Nitpick comments:
In `@skills/cuopt-numerical-optimization-api-c/SKILL.md`:
- Line 27: The sequence for LP/MILP documentation omits creating solver
settings; update the paragraph to include calling cuOptCreateSolverSettings (and
any config steps) between cuOptCreateRangedProblem and cuOptSolve so the full
ordered flow reads: cuOptCreateRangedProblem → cuOptCreateSolverSettings →
configure settings → cuOptSolve(problem, settings, &solution) →
cuOptGetObjectiveValue(solution, &obj_value) → matching cuOptDestroy* calls;
also mention including <cuopt/linear_programming/cuopt_c.h> as before and mirror
the example in assets/lp_basic/lp_simple.c for accuracy.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Enterprise
Run ID: a204a581-f16d-4750-a98f-59aaa276ed49
📒 Files selected for processing (3)
skills/cuopt-numerical-optimization-api-c/SKILL.mdskills/cuopt-numerical-optimization-api-c/evals/evals.jsonskills/cuopt-numerical-optimization-api-c/references/examples.md
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| "question": "I want to solve a small MILP (some integer variables, linear objective, linear constraints) with the cuOpt C API. List the C functions and structs I need in order — names only, one line each, no full source.", | ||
| "expected_skill": "cuopt-numerical-optimization-api-c", | ||
| "expected_script": null, | ||
| "ground_truth": "The agent produces an ordered list of C API entry points without writing a full source file: include cuopt/linear_programming/cuopt_c.h, then call cuOptCreateRangedProblem with sense CUOPT_MINIMIZE or CUOPT_MAXIMIZE, then cuOptSolve(problem, settings, &solution), then cuOptGetObjectiveValue.", | ||
| "expected_behavior": [ | ||
| "Lists C API call sequence without writing a complete source file", | ||
| "Names cuOptCreateRangedProblem, cuOptSolve, cuOptGetObjectiveValue in order" | ||
| ] |
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🛠️ Refactor suggestion | 🟠 Major | ⚡ Quick win
Align question, ground_truth, and expected_behavior for completeness.
The question asks for "C functions and structs I need in order" but the ground_truth and expected_behavior only mention functions. The complete answer should include:
Struct types:
cuOptOptimizationProblemcuOptSolverSettingscuOptSolution
Functions missing from current ground_truth:
cuOptCreateSolverSettings(required before solve, seelp_simple.c:38,98)- The three destroy functions:
cuOptDestroyProblem,cuOptDestroySolverSettings,cuOptDestroySolution(mentioned in SKILL.md line 27 and used inlp_simple.c:95-97)
📝 Proposed fix to complete the evaluation criteria
"question": "I want to solve a small MILP (some integer variables, linear objective, linear constraints) with the cuOpt C API. List the C functions and structs I need in order — names only, one line each, no full source.",
"expected_skill": "cuopt-numerical-optimization-api-c",
"expected_script": null,
- "ground_truth": "The agent produces an ordered list of C API entry points without writing a full source file: include cuopt/linear_programming/cuopt_c.h, then call cuOptCreateRangedProblem with sense CUOPT_MINIMIZE or CUOPT_MAXIMIZE, then cuOptSolve(problem, settings, &solution), then cuOptGetObjectiveValue.",+ "ground_truth": "The agent produces an ordered list of C API types and entry points without writing a full source file: include cuopt/linear_programming/cuopt_c.h, declare cuOptOptimizationProblem/cuOptSolverSettings/cuOptSolution structs, then call cuOptCreateRangedProblem with sense CUOPT_MINIMIZE or CUOPT_MAXIMIZE, cuOptCreateSolverSettings, cuOptSolve(problem, settings, &solution), cuOptGetObjectiveValue, and the three cuOptDestroy* functions.",
"expected_behavior": [
"Lists C API call sequence without writing a complete source file",
- "Names cuOptCreateRangedProblem, cuOptSolve, cuOptGetObjectiveValue in order"+ "Names the three struct types (cuOptOptimizationProblem, cuOptSolverSettings, cuOptSolution)",+ "Names cuOptCreateRangedProblem, cuOptCreateSolverSettings, cuOptSolve, cuOptGetObjectiveValue, and destroy functions in order"
]🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@skills/cuopt-numerical-optimization-api-c/evals/evals.json` around lines 4 -
11, Update the expected list to include the required struct types and missing
API calls in order: include cuopt/linear_programming/cuopt_c.h, then structs
cuOptOptimizationProblem, cuOptSolverSettings, cuOptSolution, then call
cuOptCreateRangedProblem, cuOptCreateSolverSettings, cuOptSolve(problem,
settings, &solution), cuOptGetObjectiveValue, and finally cleanup with
cuOptDestroyProblem, cuOptDestroySolverSettings, cuOptDestroySolution; reference
these exact symbols (cuOptCreateRangedProblem, cuOptCreateSolverSettings,
cuOptSolve, cuOptGetObjectiveValue, cuOptDestroyProblem,
cuOptDestroySolverSettings, cuOptDestroySolution and the structs) so the eval
expects both functions and structs in the proper sequence.
tmckayus
approved these changes
May 28, 2026
Signed-off-by: nvskills-svc-account <svc-nvskills-signing@nvidia.com>
ramakrishnap-nv
commented
May 28, 2026
CollaboratorAuthor
/ok to test 1279c54 |
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@skills/cuopt-numerical-optimization-api-c/skill-card.md`:
- Around line 60-61: The markdown linter rule MD058 is triggered because the
table starts immediately after the heading "## Evaluation Results:"; fix it by
inserting a single blank line between the heading line that contains "##
Evaluation Results:" and the table start row beginning with "| Dimension" so the
table is separated from the heading and passes markdownlint; after editing, run
pre-commit hooks (pre-commit run --all-files --show-diff-on-failure) to verify.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Enterprise
Run ID: e71a500e-a2a6-48b6-a403-1067bc99cf57
📒 Files selected for processing (3)
skills/cuopt-numerical-optimization-api-c/BENCHMARK.mdskills/cuopt-numerical-optimization-api-c/skill-card.mdskills/cuopt-numerical-optimization-api-c/skill.oms.sig
✅ Files skipped from review due to trivial changes (1)
- skills/cuopt-numerical-optimization-api-c/BENCHMARK.md
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| ## Evaluation Results: <br> | ||
| | Dimension | Num | `claude-code` | `codex` | |
There was a problem hiding this comment.
Add a blank line before the results table to satisfy markdownlint.
MD058 is triggered because the table starts immediately after the heading text. Insert a blank line between Line 60 and Line 61.
Proposed fix
## Evaluation Results: <br>
+
| Dimension | Num | `claude-code` | `codex` |
|---|---:|---:|---:|As per coding guidelines, "Use pre-commit run --all-files --show-diff-on-failure to check code formatting and linting on all files before committing".
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| ## Evaluation Results: <br> | |
| | Dimension | Num |`claude-code`|`codex`| | |
| ## Evaluation Results: <br> | |
| | Dimension | Num |`claude-code`|`codex`| |
🧰 Tools
🪛 markdownlint-cli2 (0.22.1)
[warning] 61-61: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@skills/cuopt-numerical-optimization-api-c/skill-card.md` around lines 60 -
61, The markdown linter rule MD058 is triggered because the table starts
immediately after the heading "## Evaluation Results:"; fix it by inserting a
single blank line between the heading line that contains "## Evaluation
Results:" and the table start row beginning with "| Dimension" so the table is
separated from the heading and passes markdownlint; after editing, run
pre-commit hooks (pre-commit run --all-files --show-diff-on-failure) to verify.
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Add eval