Rename routing-formulation to cuopt-routing-formulation

.claude-plugin/marketplace.json

@@ -51,8 +51,8 @@
       "description": "LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line."
     },
     {
-      "name": "routing-formulation",
-      "source": "./skills/routing-formulation",
+      "name": "cuopt-routing-formulation",
+      "source": "./skills/cuopt-routing-formulation",
       "skills": "./",
       "description": "Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface."
     },

AGENTS.md

@@ -13,7 +13,7 @@ AI agent skills for NVIDIA cuOpt optimization engine. Skills live in **`skills/`
 
 ### Common (concepts only; no API code)
 - `skills/numerical-optimization-formulation/` — LP / MILP / QP: concepts + problem parsing + common formulation patterns
-- `skills/routing-formulation/` — Routing: VRP, TSP, PDP (problem types, data)
+- `skills/cuopt-routing-formulation/` — Routing: VRP, TSP, PDP (problem types, data)
 - `skills/cuopt-server-common/` — Server: capabilities, workflow
 
 ### Installation

skills/cuopt-routing-formulation/BENCHMARK.md

@@ -0,0 +1,87 @@
+# Evaluation Report
+
+Evaluation of the `cuopt-routing-formulation` skill before publication through NVSkills-Eval.
+
+This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.
+
+## Evaluation Summary
+
+- Skill: `cuopt-routing-formulation`
+- Evaluation date: 2026-05-28
+- NVSkills-Eval profile: `external`
+- Environment: `local`
+- Dataset: 1 evaluation tasks
+- Attempts per task: 2
+- Pass threshold: 50%
+- Overall verdict: PASS
+
+## Agents Used
+
+- `claude-code`
+- `codex`
+
+## Metrics Used
+
+Reported benchmark dimensions:
+
+- Security: checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
+- Correctness: checks whether the agent follows the expected workflow and produces the correct final output.
+- Discoverability: checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
+- Effectiveness: checks whether the agent performs measurably better with the skill than without it.
+- Efficiency: checks whether the agent uses fewer tokens and avoids redundant work.
+
+Underlying evaluation signals used in this run:
+
+- `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.
+- `goal_accuracy` (Goal Accuracy): checks whether the overall user task completed successfully.
+- `behavior_check` (Behavior Check): verifies expected behavior steps, including safety expectations.
+- `token_efficiency` (Token Efficiency): compares token usage with and without the skill.
+
+## Test Tasks
+
+The benchmark dataset contained 1 evaluation tasks:
+
+- Positive tasks: 1 tasks where the skill was expected to activate.
+- Negative tasks: 0 tasks where no skill was expected.
+- Unlabeled tasks: 0 tasks where positive/negative intent could not be inferred.
+
+Task composition is derived from the evaluation dataset when possible. Entries with `expected_skill` set are treated as positive skill-activation cases, while entries with `expected_skill: null` are treated as negative activation cases.
+
+## Results
+
+| Dimension | Num | `claude-code` | `codex` |
+|---|---:|---:|---:|
+| Security | 2 | 100% (+0%) | 100% (+0%) |
+| Correctness | 2 | 100% (+0%) | 97% (+23%) |
+| Discoverability | 2 | 100% (+0%) | 84% (+48%) |
+| Effectiveness | 2 | 97% (-2%) | 98% (+0%) |
+| Efficiency | 2 | 93% (-0%) | 78% (+34%) |
+
+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 13 total findings.
+
+Top findings:
+
+- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/cuopt-routing-formulation/SKILL.md`)
+- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (`skills/cuopt-routing-formulation/SKILL.md`)
+- LOW QUALITY/quality_correctness: No examples provided (`skills/cuopt-routing-formulation/SKILL.md`)
+- LOW QUALITY/quality_discoverability: Description doesn't mention WHEN to use this skill (`skills/cuopt-routing-formulation/SKILL.md`)
+- LOW QUALITY/quality_discoverability: Broad description without negative triggers may cause over-triggering (`skills/cuopt-routing-formulation/SKILL.md`)
+
+## Tier 2: Deduplication Summary
+
+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-routing-formulation': 108 char description
+
+## Publication Recommendation
+
+The skill is suitable to proceed toward NVSkills-Eval publication based on this benchmark. Skill owners should keep this file with the skill and refresh it when the evaluation dataset, skill behavior, or target agents materially change.

skills/routing-formulation/SKILL.md → skills/cuopt-routing-formulation/SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: routing-formulation
+name: cuopt-routing-formulation
 version: "26.08.00"
 description: Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.
 license: Apache-2.0

skills/routing-formulation/evals/evals.json → skills/cuopt-routing-formulation/evals/evals.json

@@ -2,7 +2,7 @@
   {
     "id": "rt-form-eval-001-tsp-vs-vrp-vs-pdp",
     "question": "A courier company has 8 trucks and 50 packages to deliver across a city. Some packages must be picked up from one address and dropped off at another. What problem type is this, and what data do I need to collect?",
-    "expected_skill": "routing-formulation",
+    "expected_skill": "cuopt-routing-formulation",
     "expected_script": null,
     "ground_truth": "The agent identifies the problem as multi-vehicle PDP (Pickup and Delivery Problem) — not VRP (one-way deliveries from a depot) or TSP (single vehicle). It then walks the user through the data categories needed: locations and a cost/distance matrix, pickup-delivery pairs as the order data, fleet (8 trucks with capacity and depot configuration), and time windows. Does not produce code.",
     "expected_behavior": [

skills/cuopt-routing-formulation/skill-card.md

@@ -0,0 +1,75 @@
+## Description: <br>
+Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface. <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 formulating vehicle routing optimization problems (VRP, TSP, PDP) who need to identify the correct problem type and required input data before using cuOpt APIs. <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-examples](https://github.com/NVIDIA/cuopt-examples) <br>
+
+
+## Skill Output: <br>
+**Output Type(s):** [Analysis] <br>
+**Output Format:** [Markdown] <br>
+**Output Parameters:** [1D] <br>
+**Other Properties Related to Output:** [None] <br>
+
+## Evaluation Agents Used: <br>
+- `claude-code` <br>
+- `codex` <br>
+
+
+
+## Evaluation Tasks: <br>
+1 evaluation task (positive skill-activation case) with 2 attempts per task; pass threshold 50%. NVSkills-Eval profile: external. <br>
+
+## Evaluation Metrics Used: <br>
+Reported benchmark dimensions: <br>
+- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. <br>
+- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. <br>
+- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. <br>
+- Effectiveness: Checks whether the agent performs measurably better with the skill than without it. <br>
+- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>
+
+Underlying evaluation signals used in this run: <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>
+- `goal_accuracy`: Checks whether the overall user task completed successfully. <br>
+- `behavior_check`: Verifies expected behavior steps, including safety expectations. <br>
+- `token_efficiency`: Compares token usage with and without the skill. <br>
+
+
+
+## Evaluation Results: <br>
+| Dimension | Num | `claude-code` | `codex` |
+|---|---:|---:|---:|
+| Security | 2 | 100% (+0%) | 100% (+0%) |
+| Correctness | 2 | 100% (+0%) | 97% (+23%) |
+| Discoverability | 2 | 100% (+0%) | 84% (+48%) |
+| Effectiveness | 2 | 97% (-2%) | 98% (+0%) |
+| Efficiency | 2 | 93% (-0%) | 78% (+34%) |
+
+## 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/routing-formulation/skill.oms.sig → skills/cuopt-routing-formulation/skill.oms.sig

@@ -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":"ewogICJfdHlwZSI6ICJodHRwczovL2luLXRvdG8uaW8vU3RhdGVtZW50L3YxIiwKICAic3ViamVjdCI6IFsKICAgIHsKICAgICAgIm5hbWUiOiAicm91dGluZy1mb3JtdWxhdGlvbiIsCiAgICAgICJkaWdlc3QiOiB7CiAgICAgICAgInNoYTI1NiI6ICJkZjAxZmI2OTFlNTJiMmU2MzY3ZjJjMGQzODE3YjdhMzMyNjMyYTcyZTEzMDU2MzBmZWVjODI4YzI5OGE2MGMzIgogICAgICB9CiAgICB9CiAgXSwKICAicHJlZGljYXRlVHlwZSI6ICJodHRwczovL21vZGVsX3NpZ25pbmcvc2lnbmF0dXJlL3YxLjAiLAogICJwcmVkaWNhdGUiOiB7CiAgICAicmVzb3VyY2VzIjogWwogICAgICB7CiAgICAgICAgIm5hbWUiOiAiU0tJTEwubWQiLAogICAgICAgICJhbGdvcml0aG0iOiAic2hhMjU2IiwKICAgICAgICAiZGlnZXN0IjogIjcxM2JhZGMxMGVjYmUzNmIzZDY3N2RkOGE1Nzc5NjU3MWRmODQ1MjUwNDAxN2IxY2NkNjM2N2I1MWQzYTUzODkiCiAgICAgIH0sCiAgICAgIHsKICAgICAgICAibmFtZSI6ICJldmFscy9ldmFscy5qc29uIiwKICAgICAgICAiYWxnb3JpdGhtIjogInNoYTI1NiIsCiAgICAgICAgImRpZ2VzdCI6ICI5NGEyZjU0NzNmODkyNGRkZDk0YjIyNDlhNjU2OWE5ODkwM2NkZThlYTk3N2RiYjRjNWZkMDVlMTE1NDM0Y2I4IgogICAgICB9LAogICAgICB7CiAgICAgICAgIm5hbWUiOiAic2tpbGwtY2FyZC5tZCIsCiAgICAgICAgImFsZ29yaXRobSI6ICJzaGEyNTYiLAogICAgICAgICJkaWdlc3QiOiAiYTU5Njc5YzRhN2U5ODVmOTMzOWNhNTM0ZjA1YzI1YmFmY2FiYjdlODJiNGFlNjdkNzkyNDk1ZDkxY2E5ZjY2ZiIKICAgICAgfQogICAgXSwKICAgICJzZXJpYWxpemF0aW9uIjogewogICAgICAiaGFzaF90eXBlIjogInNoYTI1NiIsCiAgICAgICJhbGxvd19zeW1saW5rcyI6IGZhbHNlLAogICAgICAiaWdub3JlX3BhdGhzIjogWwogICAgICAgICIuZ2l0aHViIiwKICAgICAgICAiLmdpdGlnbm9yZSIsCiAgICAgICAgIi5naXQiLAogICAgICAgICIuZ2l0YXR0cmlidXRlcyIKICAgICAgXSwKICAgICAgIm1ldGhvZCI6ICJmaWxlcyIKICAgIH0KICB9Cn0=","payloadType":"application/vnd.in-toto+json","signatures":[{"sig":"MGQCMF1TpYnPVAAIOpLdjYR2DfwlxyIfN/OdCVe5x9VJMgskmyhzu6hG/aWu5oHtKY1gWAIwe8V9apDHO+n63o7Q6jaSyidO3qdqCDQ0/wRGNpncPuYEgnGlqJhyBDDWym6eKF6P","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":"MGYCMQCI4t49EXYNez1SAdbQu+J0/GAgNkTruprFGAcZTyJcf+eNFrGjmvXRTPNC16SQZPICMQCI3lcxFduDYAZHsopvlQcXikisyJqUzPb/ZcgHnt6PDOC+cW80vVI/ki5iQ4iA8U4=","keyid":""}]}}