Skip to content

chore: trigger NVSkills CI for cuopt-multi-objective-exploration #1673

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
rapids-bot merged 5 commits into from
Aug 7, 2026
Merged

chore: trigger NVSkills CI for cuopt-multi-objective-exploration #1673

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
26f266e
chore: trigger NVSkills CI for cuopt-multi-objective-exploration
ramakrishnap-nv Aug 5, 2026
7cfd115
Merge branch 'main' into chore/nvskills-ci-cuopt-multi-objective-expl…
ramakrishnap-nv Aug 5, 2026
0d20980
Attach NVSkills validation signatures
svc-nvskills-signing Aug 5, 2026
9a65dd2
Merge branch 'main' into chore/nvskills-ci-cuopt-multi-objective-expl…
ramakrishnap-nv Aug 6, 2026
3c62364
Merge branch 'main' into chore/nvskills-ci-cuopt-multi-objective-expl…
ramakrishnap-nv Aug 7, 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
14 changes: 7 additions & 7 deletions skills/cuopt-multi-objective-exploration/BENCHMARK.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,8 @@ Recommended for publication based on the completed evaluation evidence in this r
## Evaluation Metadata

- Skill: `cuopt-multi-objective-exploration`
- Evaluation date: 2026-07-30
- Evaluator version: `0.9.2`
- Evaluation date: 2026-08-05
- Evaluator version: `1.0.0`
- Agents: Claude Code (`aws/anthropic/bedrock-claude-opus-4-8`), Codex (`openai/openai/gpt-5.5`)
- Tasks: 8 evaluation tasks (6 positive, 2 negative)
- Dataset digest: `sha256:45bef5ee60d2a85ef8c4a7175c3d9a15eeac738e7bcf291d44de12ad4a35fff2` (skill-evaluator-dataset-snapshot/1)
Expand All @@ -34,12 +34,12 @@ The three-tier evaluation checks whether the skill:

| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---:|---:|
| Overall | 67% → 95% (+28 points) | 67% → 95% (+28 points) |
| Overall | 65% → 97% (+33 points) | 67% → 90% (+23 points) |
| Security | 100% → 100% (±0 points) | 100% → 100% (±0 points) |
| Correctness | 92% → 88% (-5 points) | 95% → 98% (+3 points) |
| Discoverability | 31% → 100% (+69 points) | 44% → 95% (+52 points) |
| Effectiveness | 79% → 87% (+9 points) | 72% → 82% (+10 points) |
| Efficiency | 31% → 100% (+69 points) | 25% → 100% (+75 points) |
| Correctness | 95% → 100% (+5 points) | 95% → 100% (+5 points) |
| Discoverability | 25% → 100% (+75 points) | 44% → 84% (+40 points) |
| Effectiveness | 79% → 87% (+8 points) | 73% → 85% (+12 points) |
| Efficiency | 25% → 100% (+75 points) | 25% → 83% (+58 points) |

**How to read this table:** baseline is the same task attempted without the target skill. Uplift is `skill score - baseline score`, shown in percentage points.

Expand Down
1 change: 1 addition & 0 deletions skills/cuopt-multi-objective-exploration/SKILL.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@ metadata:
- workflow
---


# Multi-Objective Exploration


Expand Down
18 changes: 9 additions & 9 deletions skills/cuopt-multi-objective-exploration/skill-card.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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 explore multi-objective tradeoffs (cost vs. service level, return vs. risk, etc.) by orchestrating repeated cuOpt solves into a Pareto frontier, enabling informed decision-making across competing objectives. <br>
Developers and engineers who need to explore multi-objective tradeoffs (cost vs. service level, return vs. risk, makespan vs. overtime) by generating and interpreting Pareto frontiers from sequences of cuOpt LP, MILP, or QP solves. <br>

### Deployment Geography for Use: <br>
Global <br>
Expand All @@ -26,7 +26,7 @@ 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 (GitHub)](https://github.com/NVIDIA/cuopt-examples) <br>
- [cuopt-examples](https://github.com/NVIDIA/cuopt-examples) <br>


## Skill Output: <br>
Expand All @@ -42,11 +42,11 @@ Mitigation: Review and scan skill before deployment. <br>


## Evaluation Tasks: <br>
8 evaluation tasks (6 positive, 2 negative) in isolated sandbox pods. <br>
8 evaluation tasks (6 positive, 2 negative) run in isolated sandbox pods. <br>

## Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Whether the skill avoids unsafe operations, secret leakage, and unauthorized access. <br>
- Security: Checks for unsafe operations, secret leakage, and unauthorized access. <br>
- Correctness: Final-answer correctness against the reference answer. <br>
- Discoverability: Whether the expected skill was found and executed when needed. <br>
- Effectiveness: Whether the skill helped complete the user's goal and expected workflow. <br>
Expand All @@ -65,12 +65,12 @@ Underlying evaluation signals used in this run: <br>
## Evaluation Results: <br>
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---:|---:|
| Overall | 67% → 95% (+28 points) | 67% → 95% (+28 points) |
| Overall | 65% → 97% (+33 points) | 67% → 90% (+23 points) |

@coderabbitai coderabbitai Bot Aug 5, 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.

🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

Correct the duplicated Claude Code uplift.

Both tables display 65% → 97% (+33 points), but the displayed values produce a +32 point uplift. Correct both entries, or document that the uplift uses unrounded source scores.

  • skills/cuopt-multi-objective-exploration/skill-card.md#L68-L68: Change +33 points to +32 points, or document the unrounded calculation.
  • skills/cuopt-multi-objective-exploration/BENCHMARK.md#L37-L37: Apply the same correction.
📍 Affects 2 files
  • skills/cuopt-multi-objective-exploration/skill-card.md#L68-L68 (this comment)
  • skills/cuopt-multi-objective-exploration/BENCHMARK.md#L37-L37
🤖 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-multi-objective-exploration/skill-card.md` at line 68, Correct
the duplicated Claude Code uplift by changing +33 points to +32 points in the
Overall row of skills/cuopt-multi-objective-exploration/skill-card.md:68-68 and
skills/cuopt-multi-objective-exploration/BENCHMARK.md:37-37, unless both entries
explicitly document that the uplift uses unrounded source scores.

| Security | 100% → 100% (±0 points) | 100% → 100% (±0 points) |
| Correctness | 92% → 88% (-5 points) | 95% → 98% (+3 points) |
| Discoverability | 31% → 100% (+69 points) | 44% → 95% (+52 points) |
| Effectiveness | 79% → 87% (+9 points) | 72% → 82% (+10 points) |
| Efficiency | 31% → 100% (+69 points) | 25% → 100% (+75 points) |
| Correctness | 95% → 100% (+5 points) | 95% → 100% (+5 points) |
| Discoverability | 25% → 100% (+75 points) | 44% → 84% (+40 points) |
| Effectiveness | 79% → 87% (+8 points) | 73% → 85% (+12 points) |
| Efficiency | 25% → 100% (+75 points) | 25% → 83% (+58 points) |

## Skill Version(s): <br>
26.10.00 (source: frontmatter) <br>
Expand Down
2 changes: 1 addition & 1 deletion skills/cuopt-multi-objective-exploration/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":"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","payloadType":"application/vnd.in-toto+json","signatures":[{"sig":"MGUCMGiZDFm0WsusNeBdDY9Wf0ArYzLhbBd7Q+hSZYz0voJArIbObODHo1YgJzcLkpkZQQIxAMZ1fHPnc1TIcgbUJJMJShPp8sK7D70FVEeythjTJhKqqUTLmClfyVBRtOvv5+Psow==","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":"MGUCMQCivc19OY8IXB4H/8Qfj6iTxL5iMRAinNTRlVVRTA85KZOiPRhItLwl3J2SODWJtpcCMG63w9gFFRsS9hDkuhv1ZNLXqdfsJV85u54s6JvaYtf3ZVypMRegz9UjIk0wMJ4ckg==","keyid":""}]}}