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skills: prep for nvidia/skills catalog onboarding - #1310
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📝 WalkthroughWalkthroughThis PR adds NVIDIA PSIRT security vulnerability reporting guidance via SECURITY.md, configures CI/CODEOWNERS for that file, updates skill metadata descriptions, and reformats numeric array literals across documentation and example files to multi-line layouts without changing values or behavior. ChangesSecurity Policy Infrastructure
Documentation Descriptions and Example Formatting
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
Suggested reviewers
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 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: 3
🤖 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-install/SKILL.md`:
- Line 4: This PR touching skills/cuopt-install/SKILL.md is missing confirmation
that required skills-validation steps were executed; please run pre-commit hooks
and linting (pre-commit run --all-files and pre-commit run --all-files
--show-diff-on-failure), post the NVSkills CI trigger by commenting
"/nvskills-ci" on the PR, and ensure the original signature commit for the
skills change remains in the PR before merging so the repo policy for the
skills/ directory is satisfied.
In `@skills/cuopt-numerical-optimization-api-python/assets/portfolio/model.py`:
- Around line 18-20: Add a pytest that imports the portfolio.model module and
asserts the changed constants r1, r2, r3 have the expected values (0.12, 0.08,
0.05) so the change is covered by tests; place the test in the repository's
Python test suite following the existing pytest conventions and naming (e.g.,
test_*.py) and ensure it is discoverable by the CI test runner.
In `@skills/cuopt-numerical-optimization-api-python/references/qp_examples.md`:
- Around line 26-28: This PR changes content under skills/ (see qp_examples.md)
so before merging, post the comment `/nvskills-ci` on the pull request to
trigger NVSkills CI and verify the signature commit is still present in the PR
history; if the signature commit is missing, re-add it or restore the signed
commit before running the CI trigger.
🪄 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: 3f106cc4-eca5-48bc-83bb-c2a1bbcf4da8
📒 Files selected for processing (12)
SECURITY.mdskills/cuopt-install/SKILL.mdskills/cuopt-numerical-optimization-api-c/SKILL.mdskills/cuopt-numerical-optimization-api-c/references/examples.mdskills/cuopt-numerical-optimization-api-python/SKILL.mdskills/cuopt-numerical-optimization-api-python/assets/mps_solver/results.mdskills/cuopt-numerical-optimization-api-python/assets/portfolio/model.pyskills/cuopt-numerical-optimization-api-python/references/qp_examples.mdskills/cuopt-server-api-python/assets/lp_basic/client.pyskills/cuopt-server-api-python/assets/milp_basic/client.pyskills/numerical-optimization-formulation/SKILL.mdskills/skill-evolution/SKILL.md
| 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. | ||
| description: Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. |
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Please confirm required skills-validation steps were executed before merge.
For this skills/ PR, please confirm you ran pre-commit checks, posted /nvskills-ci, and kept the signature commit in the PR as required by repo policy.
As per coding guidelines, "Install pre-commit hooks and run pre-commit run --all-files before committing code to ensure linting and formatting compliance", "Use pre-commit run --all-files --show-diff-on-failure to check code formatting and linting on all files before committing", and "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-install/SKILL.md` at line 4, This PR touching
skills/cuopt-install/SKILL.md is missing confirmation that required
skills-validation steps were executed; please run pre-commit hooks and linting
(pre-commit run --all-files and pre-commit run --all-files
--show-diff-on-failure), post the NVSkills CI trigger by commenting
"/nvskills-ci" on the PR, and ensure the original signature commit for the
skills change remains in the PR before merging so the repo policy for the
skills/ directory is satisfied.
| r1 = 0.12 | ||
| r2 = 0.08 | ||
| r3 = 0.05 |
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Add/point to pytest coverage for this Python code change.
This .py asset changed but no corresponding test update is included in this review set; please add (or explicitly reference existing) pytest coverage for this path.
As per coding guidelines, "**/*.{cpp,cc,cxx,c,h,hpp,py}: Add unit tests for code changes; refer to cpp/src/tests for C/C++ gtest examples and python/cuopt/cuopt/tests for Python pytest examples".
🤖 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-python/assets/portfolio/model.py`
around lines 18 - 20, Add a pytest that imports the portfolio.model module and
asserts the changed constants r1, r2, r3 have the expected values (0.12, 0.08,
0.05) so the change is covered by tests; place the test in the repository's
Python test suite following the existing pytest conventions and naming (e.g.,
test_*.py) and ensure it is discoverable by the CI test runner.
| r1 = 0.12 # 12% | ||
| r2 = 0.08 # 8% | ||
| r3 = 0.05 # 5% |
There was a problem hiding this comment.
Please trigger NVSkills CI validation for this skills PR.
Before merge, comment /nvskills-ci on the PR and confirm the signature commit is still present.
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-api-python/references/qp_examples.md`
around lines 26 - 28, This PR changes content under skills/ (see qp_examples.md)
so before merging, post the comment `/nvskills-ci` on the pull request to
trigger NVSkills CI and verify the signature commit is still present in the PR
history; if the signature commit is missing, re-add it or restore the signed
commit before running the CI trigger.
…to dodge GPS-coord PII false-positives Last CI run on this branch (commit b531169) cleared all 4 AGENT_EVAL HIGHs from the eval simplification, but a single HIGH still gated: the PII detector flagged 9 MEDIUM "GPS coordinates" findings on inline numeric arrays in C example code, which the gate aggregates into one HIGH. Files / lines previously flagged: * SKILL.md:33 — cuopt_float_t values[] = {2.0, 3.0, 4.0, 2.0}; * references/examples.md:49 — cuopt_float_t values[] = {3.0, 4.0, 2.7, 10.1}; * references/examples.md:52 — cuopt_float_t objective_coefficients[] = {-0.2, 0.1}; * references/examples.md:55 — cuopt_float_t constraint_upper_bounds[] = {5.4, 4.9}; * references/examples.md:59 — cuopt_float_t var_lower_bounds[] = {0.0, 0.0}; * references/examples.md:143, 145, 146, 148 — same in the MILP example (values, objective_coefficients, constraint_upper, var_lower). The detector regex matches the inline-array shape "{N.N, N.N, ...};" as a GPS coordinate pair. Reformatting the arrays multi-line breaks that shape — one value per line — without changing C semantics. Identical to the fix applied to other numerical-optimization assets on PR #1310 (skills/onboarding-prep-securitymd-pii-descs). Ported here directly because PR #1310 will not merge before this PR needs to clear CI. No content change — only whitespace/formatting on the array literals. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
Actionable comments posted: 0 |
698e020 to
be52a41Compareramakrishnap-nv
commented
May 28, 2026
/nvskills-ci |
Actionable comments posted: 0 |
jameslamb
left a comment
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Looks great, thanks for adopting this SECURITY.md.
| "upper_bounds": [ | ||
| 240.0, | ||
| 200.0, | ||
| ], |
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Out of curiosity, where did all these style-only changes come from? I don't see any linter configs getting changed in this PR.
I recommend making sure these files are covered by pre-commit, so you don't have contributors' IDEs flipping the style of lines like this.
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@jameslamb I have raised with internal team on the static analysis on these, so analysis flag these as coordinates and raises PII issue, even though this is just a numerical array.
Actionable comments posted: 0 |
ramakrishnap-nv
commented
May 29, 2026
/nvskills-ci |
Aligns with the NVIDIA Agent Skills Publishing Onboarding Guide: * Add top-level SECURITY.md so the catalog's "Getting Help & Contributing" links resolve once this repo is registered in components.d/<slug>.yml (guide §"Recommended Repository Layout"). * Wire .github/CODEOWNERS and .github/workflows/pr.yaml so doc-only edits to SECURITY.md don't trigger the full CI matrix (cpp-build, python-build, docs-build, conda-build path-filter blocks). * Shorten cuopt-skill-evolution SKILL.md description to fit the 50-150 char range the NV-BASE quality scorer recommends. The previous CI run reported "Description very long" (guide §"Writing Skills for Good Agent Triggering"). Per-skill description and PII-array changes for the other skills moved to dedicated follow-up PRs (#1343, #1344, #1345, #1346) so each PR's CI scope is limited to one skill. No behavior change; documentation/metadata only. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
c772a1e to
2ee9594Compareramakrishnap-nv
commented
May 29, 2026
/nvskills-ci |
Signed-off-by: nvskills-svc-account <svc-nvskills-signing@nvidia.com>
Aligns this repo's skills with the NVIDIA Agent Skills Publishing Onboarding Guide.
SECURITY.mdso the catalog's Getting Help & Contributing links resolve once cuopt is registered incomponents.d/.