Skip to content

cuopt-numerical-optimization-formulation: catalog onboarding prep #1345

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ramakrishnap-nv merged 2 commits into from
May 29, 2026
Merged

cuopt-numerical-optimization-formulation: catalog onboarding prep #1345

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
daf5495
cuopt-numerical-optimization-formulation: catalog onboarding prep
ramakrishnap-nv May 29, 2026
7b3bc4a
Attach NVSkills validation signatures
svc-nvskills-signing May 29, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 10 additions & 9 deletions skills/cuopt-numerical-optimization-formulation/BENCHMARK.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the s
## Evaluation Summary

- Skill: `cuopt-numerical-optimization-formulation`
- Evaluation date: 2026-05-28
- Evaluation date: 2026-05-29
- NVSkills-Eval profile: `external`
- Environment: `local`
- Dataset: 1 evaluation tasks
Expand All @@ -32,6 +32,7 @@ Reported benchmark dimensions:

Underlying evaluation signals used in this run:

- `security` (Security): checks for unsafe operations, secret leakage, and unauthorized access.
- `skill_execution` (Skill Execution): verifies that the agent loaded the expected skill and workflow.
- `skill_efficiency` (Efficiency): checks routing quality, decoy avoidance, and redundant tool usage.
- `accuracy` (Accuracy): grades final-answer correctness against the reference answer.
Expand All @@ -53,25 +54,25 @@ Task composition is derived from the evaluation dataset when possible. Entries w

| Dimension | Num | `claude-code` | `codex` |
|---|---:|---:|---:|
| Security | 2 | 100% (+0%) | 83% (+0%) |
| Correctness | 2 | 100% (+0%) | 97% (+47%) |
| Discoverability | 2 | 100% (+0%) | 84% (+84%) |
| Effectiveness | 2 | 96% (-3%) | 90% (+1%) |
| Efficiency | 2 | 93% (-0%) | 76% (+49%) |
| Security | 2 | 100% (+0%) | 100% (+0%) |
| Correctness | 2 | 100% (+0%) | 97% (+28%) |
| Discoverability | 2 | 100% (+0%) | 97% (+66%) |
| Effectiveness | 2 | 96% (+0%) | 90% (-5%) |
| Efficiency | 2 | 93% (-0%) | 96% (+51%) |

@coderabbitai coderabbitai Bot May 29, 2026

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟡 Minor | ⚡ Quick win

Normalize uplift display to 0% instead of -0%.

93% (-0%) is a confusing presentation artifact; please render zero uplift as 0% for consistency/readability.

Suggested fix 
-| Efficiency | 2 | 93% (-0%) | 96% (+51%) |
+| Efficiency | 2 | 93% (0%) | 96% (+51%) |
📝 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
| Efficiency | 2 | 93% (-0%) | 96% (+51%) |
| Efficiency | 2 | 93% (0%) | 96% (+51%) |
🤖 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-formulation/BENCHMARK.md` at line 61, The
table cell currently displays "93% (-0%)" — normalize any negative-zero uplift
so it renders as "0%" instead of "-0%": update the uplift formatting logic (the
routine that produces the "93% (±X%)" display, e.g., your uplift
formatter/renderer that emits the "(-0%)" token) to treat values whose absolute
value is effectively zero (e.g., Math.abs(value) < epsilon or value === 0 after
rounding) as 0 and format them without a negative sign; ensure the sign is only
shown for nonzero uplifts and update the generated markdown so "93% (-0%)"
becomes "93% (0%)".


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 10 total findings.
Tier 1 validation passed with observations. NVSkills-Eval ran 9 checks and found 7 total findings.

Top findings:

- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)
- LOW QUALITY/quality_discoverability: Description very long (315 chars, recommend 50-150) (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)
- LOW QUALITY/quality_discoverability: No '## Purpose' section (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)
- LOW QUALITY/quality_reliability: No prerequisites/requirements documented (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)
- LOW QUALITY/quality_reliability: No limitations documented (`skills/cuopt-numerical-optimization-formulation/SKILL.md`)

## Tier 2: Deduplication Summary

Expand All @@ -80,7 +81,7 @@ Tier 2 validation passed. NVSkills-Eval ran 2 checks and found 0 total findings.
Notable observations:

- Context Deduplication: Collected 1 file(s)
- Inter-Skill Deduplication: Parsed skill 'cuopt-numerical-optimization-formulation': 315 char description
- Inter-Skill Deduplication: Parsed skill 'cuopt-numerical-optimization-formulation': 143 char description

## Publication Recommendation

Expand Down
2 changes: 1 addition & 1 deletion skills/cuopt-numerical-optimization-formulation/SKILL.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
---
name: cuopt-numerical-optimization-formulation
version: "26.08.00"
description: Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns. What LP, MILP, and QP are, required formulation questions, modeling elements, common patterns, and how to parse problem statements (parameters, constraints, decisions, objective). Domain concepts; no API or interface.
description: LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

@coderabbitai coderabbitai Bot May 29, 2026

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟠 Major | ⚡ Quick win

Please complete the required skills/ CI gate for this PR.

For changes under skills/**/*, request NVSkills validation by commenting /nvskills-ci on the PR and confirm the signature commit is still present before merge.

As per coding guidelines, "skills/**/*: For PRs changing content under skills/ directory, request NVSkills CI validation by commenting /nvskills-ci and ensure the signature commit remains in the PR".

🤖 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-formulation/SKILL.md` at line 4, This PR
modifies content under skills/ (SKILL.md) but did not trigger the NVSkills CI
gate; to fix, post the NVSkills validation request by adding a PR comment that
contains the exact trigger "/nvskills-ci", then verify the NVSkills signature
commit is still present in the PR history (ensure the signature commit hash
shown by NVSkills remains in the branch) before merging; reference the changed
resource SKILL.md when posting the comment and confirm the signature commit is
not removed by any rebases or squashes.

license: Apache-2.0
metadata:
author: NVIDIA cuOpt Team
Expand Down
23 changes: 12 additions & 11 deletions skills/cuopt-numerical-optimization-formulation/skill-card.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
## Description: <br>
Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns for going from a problem description to a clear mathematical formulation. <br>
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API. <br>

This skill is ready for commercial/non-commercial use. <br>

Expand All @@ -9,7 +9,7 @@ NVIDIA <br>
### License/Terms of Use: <br>
Apache 2.0 <br>
## Use Case: <br>
Developers and engineers use this skill to parse optimization problem statements and produce correct LP, MILP, or QP formulations, identifying decision variables, constraints, and objectives from natural-language descriptions. <br>
Developers and engineers who need to formulate linear, mixed-integer linear, or quadratic optimization problems using cuOpt, translating natural-language problem descriptions into structured mathematical formulations. <br>

### Deployment Geography for Use: <br>
Global <br>
Expand All @@ -30,13 +30,13 @@ Mitigation: Review and scan skill before deployment. <br>
**Other Properties Related to Output:** [None] <br>

## Evaluation Agents Used: <br>
- claude-code <br>
- codex <br>
- `claude-code` <br>
- `codex` <br>



## Evaluation Tasks: <br>
Evaluated against 1 internal skill task with 2 attempts per task (NVSkills-Eval, external profile). <br>
Evaluated against 1 internal evaluation task with 2 attempts per task via NVSkills-Eval (external profile). <br>

## Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
Expand All @@ -47,6 +47,7 @@ Reported benchmark dimensions: <br>
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>

Underlying evaluation signals used in this run: <br>
- `security`: Checks for unsafe operations, secret leakage, and unauthorized access. <br>
- `skill_execution`: Verifies that the agent loaded the expected skill and workflow. <br>
- `skill_efficiency`: Checks routing quality, decoy avoidance, and redundant tool usage. <br>
- `accuracy`: Grades final-answer correctness against the reference answer. <br>
Expand All @@ -59,14 +60,14 @@ Underlying evaluation signals used in this run: <br>
## Evaluation Results: <br>
| Dimension | Num | `claude-code` | `codex` |
|---|---:|---:|---:|
| Security | 2 | 100% (+0%) | 83% (+0%) |
| Correctness | 2 | 100% (+0%) | 97% (+47%) |
| Discoverability | 2 | 100% (+0%) | 84% (+84%) |
| Effectiveness | 2 | 96% (-3%) | 90% (+1%) |
| Efficiency | 2 | 93% (-0%) | 76% (+49%) |
| Security | 2 | 100% (+0%) | 100% (+0%) |
| Correctness | 2 | 100% (+0%) | 97% (+28%) |
| Discoverability | 2 | 100% (+0%) | 97% (+66%) |
| Effectiveness | 2 | 96% (+0%) | 90% (-5%) |
| Efficiency | 2 | 93% (-0%) | 96% (+51%) |

## Skill Version(s): <br>
26.08.00 (source: frontmatter, git tag) <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>
Expand Down
2 changes: 1 addition & 1 deletion skills/cuopt-numerical-optimization-formulation/skill.oms.sig
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json","verificationMaterial":{"x509CertificateChain":{"certificates":[{"rawBytes":"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"},{"rawBytes":"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"},{"rawBytes":"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"}]},"tlogEntries":[]},"dsseEnvelope":{"payload":"ewogICJfdHlwZSI6ICJodHRwczovL2luLXRvdG8uaW8vU3RhdGVtZW50L3YxIiwKICAic3ViamVjdCI6IFsKICAgIHsKICAgICAgIm5hbWUiOiAiY3VvcHQtbnVtZXJpY2FsLW9wdGltaXphdGlvbi1mb3JtdWxhdGlvbiIsCiAgICAgICJkaWdlc3QiOiB7CiAgICAgICAgInNoYTI1NiI6ICJjNjc1OGM5ZTZhYTM3NzM0MTk5YWFiZGFjM2ZjZTZkNjA2NjJhMmQ5YzY4MDY1YTMwZDMwZDYwNjVkOGI3YjZmIgogICAgICB9CiAgICB9CiAgXSwKICAicHJlZGljYXRlVHlwZSI6ICJodHRwczovL21vZGVsX3NpZ25pbmcvc2lnbmF0dXJlL3YxLjAiLAogICJwcmVkaWNhdGUiOiB7CiAgICAic2VyaWFsaXphdGlvbiI6IHsKICAgICAgImlnbm9yZV9wYXRocyI6IFsKICAgICAgICAiLmdpdGF0dHJpYnV0ZXMiLAogICAgICAgICIuZ2l0aWdub3JlIiwKICAgICAgICAiLmdpdCIsCiAgICAgICAgIi5naXRodWIiCiAgICAgIF0sCiAgICAgICJoYXNoX3R5cGUiOiAic2hhMjU2IiwKICAgICAgIm1ldGhvZCI6ICJmaWxlcyIsCiAgICAgICJhbGxvd19zeW1saW5rcyI6IGZhbHNlCiAgICB9LAogICAgInJlc291cmNlcyI6IFsKICAgICAgewogICAgICAgICJkaWdlc3QiOiAiZDg4ZjEyYjAxMzliNjQ2OWY4YjA2NTJmNTNkOThkOWU2NWE5ZmQwNDNiMWQ3MTNhZWEwNzY1Y2IxYTA3YzQ4ZiIsCiAgICAgICAgIm5hbWUiOiAiQkVOQ0hNQVJLLm1kIiwKICAgICAgICAiYWxnb3JpdGhtIjogInNoYTI1NiIKICAgICAgfSwKICAgICAgewogICAgICAgICJkaWdlc3QiOiAiNGY4NmQyZmQ0YzRmOWNjNGIzNmNhY2Y5ZDA2MDIyNzIxMmQ4MWI0M2RjNDY1MmY5ZDYyY2M3ZWY1ODk2Y2M2NCIsCiAgICAgICAgIm5hbWUiOiAiU0tJTEwubWQiLAogICAgICAgICJhbGdvcml0aG0iOiAic2hhMjU2IgogICAgICB9LAogICAgICB7CiAgICAgICAgImRpZ2VzdCI6ICI3NmRjZDY5OGFhMTNkM2ZiMDFkYjAxYmIzYTNiN2Q5YWFiZmQwNzE2Y2NmM2ZmNjM3NTQzMjlkNThmOWVmYWY1IiwKICAgICAgICAibmFtZSI6ICJldmFscy9ldmFscy5qc29uIiwKICAgICAgICAiYWxnb3JpdGhtIjogInNoYTI1NiIKICAgICAgfSwKICAgICAgewogICAgICAgICJkaWdlc3QiOiAiYmVlMDY0MWYxZjU4YjBhMGQ3NmUyMGVmMGZiZmYzYjUwYmM3ODgyNjk2YTI4NDI5ODg5Zjk4MjUxMTcyNTVmYyIsCiAgICAgICAgIm5hbWUiOiAic2tpbGwtY2FyZC5tZCIsCiAgICAgICAgImFsZ29yaXRobSI6ICJzaGEyNTYiCiAgICAgIH0KICAgIF0KICB9Cn0=","payloadType":"application/vnd.in-toto+json","signatures":[{"sig":"MGUCMHXfTTyyfBq8pybGedIhCQ876apMxWRIrRJffM7Ed+ZwatEwO/meP+0ZG9KzWgUUaQIxALQBiQD/62O0cNtE3ZFPz+nDed44QXg3JUTK9j99eda9FgOEdim1kkt8Jw+rHK/2rg==","keyid":""}]}}
{"mediaType":"application/vnd.dev.sigstore.bundle.v0.3+json","verificationMaterial":{"x509CertificateChain":{"certificates":[{"rawBytes":"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"},{"rawBytes":"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"},{"rawBytes":"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"}]},"tlogEntries":[]},"dsseEnvelope":{"payload":"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","payloadType":"application/vnd.in-toto+json","signatures":[{"sig":"MGUCMEwBabbbP9oCmv+AH3JGrABPDLs1LLZBDMHUyWD6gXK3MZBrQWfwgL7e/AnAQeXL/AIxAPkjDIFc7/7hrGtGoL1pci0hiLZyQT9RqScdj+uE5iqGDovjyBD9BZHFWbk4k0Q7cw==","keyid":""}]}}