{"slug":"nvidia-cupynumeric-migration-readiness","name":"cupynumeric-migration-readiness","description":"Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.","long_description":"---\nname: cupynumeric-migration-readiness\ndescription: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.\nlicense: CC-BY-4.0 OR Apache-2.0\ncompatibility: Knowledge-driven assessment; no cuPyNumeric install required. Runtime claims target Linux x86_64/aarch64 with NVIDIA compute capability >= 7.0 and CUDA 12.x/13.x. Runtime validation is delegated to cuPyNumeric Doctor.\nmetadata:\n author: \"NVIDIA Corporation \"\n version: \"2.0.0\"\n tags:\n - cupynumeric\n - legate\n - numpy\n - gpu\n - distributed-computing\n upstream: https://github.com/nv-legate/cupynumeric\n docs: https://docs.nvidia.com/cupynumeric/latest/\n---\n\n# cuPyNumeric Migration Readiness\n\n## Purpose\n\n**Use this skill BEFORE the migration, not during.** Answer one question: *which of the user's existing NumPy APIs will scale on cuPyNumeric, and which need refactoring, before they commit engineer-weeks to porting?* To answer it: read the source, classify each NumPy idiom by its expected multi-GPU scaling on the Legate/NVIDIA GPU stack, cross-reference the bundled API-support manifest, and produce a structured verdict with per-finding reasoning and recipe pointers.\n\n**This is a static, read-only assessment.** Inspect the user's source with `Read`, `Grep`, and `Glob`. Do **not** execute the user's code, modify or write files, or print environment variables or secrets. The `legate`, and cuPyNumeric Doctor commands shown below are suggestions for the *user* to run — not actions this skill performs.\n\nIf this skill has never been seen before, head to [`references/getting-started.md`](references/getting-started.md) first.\n\n## When to use this skill\n\nUse when the user is **about to** migrate NumPy code to GPU and asks whether it will scale on cuPyNumeric / GPU, whether they should migrate, which parts will benefit, what must change before porting, or whether the port is worth it — or mentions pre-port assessment, scaling analysis, idiom analysis, GPU refactor planning, or identifying NumPy anti-patterns for GPU.\n\n**Decline and redirect** when the request is *not* a pre-migration assessment:\n\n- **Post-migration performance / profiling** (\"already ported, why is it slow?\") → point to `legate --profile` and the upstream [profiling and debugging](https://docs.nvidia.com/cupynumeric/latest/user/profiling_debugging.html) walkthrough.\n- **Custom CUDA / kernel authoring** (\"write/optimize a CUDA kernel\")\n\nA graph / sparse / ML / NLP workload that the user *is* asking to migrate is still **in scope**: assess it and return **NOT RECOMMENDED** via Gate 4. That is a verdict, not a decline.\n\n## Instructions\n\nRun all five steps below, in order. Read the user's code and reason about it\nsemantically; do not emit a one-shot prose verdict.\n\n### Step 1 — Gather context\n\nElicit before scanning code. Each item below has a default tuned to the typical workload — use the default when the user does not volunteer specifics; do not block on questions.\n\n- **Source location.** Default to the current working directory when no path is given.\n- **Approximate hot-path array sizes at runtime.** Default to 30–50 million elements. Map the user's numbers (or this default) to the [Gate 2 tiers](references/decision-framework.md#gate-2-problem-size) (65K per-GPU floor; 10M+ for real single-GPU speedup; 100M+ for multi-GPU).\n- **Target hardware.** Default to 1–4 GPUs, single-node. Confirm before assuming multi-node. For CPU-only runs, ask about RAM per node instead of FBMEM.\n- **Dominant compute pattern.** Stencil / GEMM / Monte Carlo / reductions / mixed-with-SciPy. Ask the user to name it; otherwise infer it from the code in Step 3.\n\nState the defaults you applied at the top of the assessment so the user can correct them. If a value is indeterminable, say so plainly and proceed with the qualitative-only assessment — do not fabricate numbers beyond the defaults above.\n\n### Step 2 — Load the API support manifest\n\nRead [`assets/api-support.md`](assets/api-support.md), the committed snapshot of the upstream NumPy-vs-cuPyNumeric comparison table. For each NumPy API the code calls, find its line and read the leading glyph:\n\n- `✓✓ numpy.X` — implemented and works on multi-GPU (the best path).\n- `✓ numpy.X` — implemented but single-GPU/CPU only (caveats multi-node).\n- `🟡 numpy.X — ` — partial support; read the note.\n- `✗ numpy.X` — not implemented on the cuPyNumeric distributed path. Behavior on call is version-specific (some unsupported APIs route through host NumPy, others raise an exception) — either way, hot-path use is a migration blocker. Do not promise users a silent fallback to host-NumPy.\n\nIf the `Fetched:` line is more than ~90 days old, refresh the snapshot — see the **Available Scripts** section.\n\n### Step 3 — Read the code semantically\n\nWalk the user's files with `Read` and `Grep` and classify each region of array math against [`references/idioms-that-scale.md`](references/idioms-that-scale.md) and [`references/idioms-that-block.md`](references/idioms-that-block.md) (full rationale and R-codes live there). Read semantically, not by regex: before flagging, confirm `arr` traces back to a `cupynumeric` array (or `np.*` aliased to it) and check whether the access sits inside a hot loop. Apply these rules:\n\n- **Flag element loops** (`for i in range(n): arr[i] = ...`) as blockers; treat an epoch/step/file loop with a vectorized body as fine — distinguish the two.\n- **Flag scalar sync** — `.item()` / `float()` / `int()` / `bool()` / `complex()` on a cuPyNumeric array inside a hot loop (per-iteration host sync); allow it at the boundary.\n- **Flag reducing conditions** — `if`/`while` over an array reduction (`while np.max(err) > tol:`) syncs every iteration.\n- **Flag hoistable allocation in a loop** as a fixable inefficiency.\n- **Flag `mpi4py`** in runtime code that partitions/communicates array data alongside `cupynumeric` ([R108](references/idioms-that-block.md#r108)) — but first confirm it issues MPI calls on a hot path; ignore a grep hit in a README, build script, or alt-launcher.\n- **Flag `order=`** on `reshape` / `asarray` / `flatten` as [R109](references/idioms-that-block.md#r109) — always, regardless of whether the version warns or silently no-ops.\n- **Always cite [R304](references/idioms-that-scale.md#r304)** in INFO for `np.random.*` under multi-GPU: cross-GPU bit-identical reproducibility is impossible by default (`--gpus N` / `LEGATE_GPUS` is the [Legate launcher arg](https://docs.nvidia.com/legate/latest/manual/usage/running.html)).\n- **Flag Python builtins on arrays** (`sum`/`max`/`min`/`any`/`iter(arr)`) — host-iteration fallback ([R110](references/idioms-that-block.md#r110); [upstream best practices](https://nv-legate.github.io/cupynumeric/user/practices.html#use-numpy-s-functions-avoid-using-python-s-built-in-functions)). Allow `len(arr)` (shape lookup; prefer `arr.shape[0]` / `arr.size` for 0-d safety).\n- **Flag `cupy` mixed with `cupynumeric`** in a hot loop ([R111](references/idioms-that-block.md#r111)); the runtimes don't share GPU memory, so every hop goes through host NumPy.\n- **Look up every NumPy API the code calls** in `assets/api-support.md` (glyph legend in Step 2).\n\nFor the deep \"why,\" read [`references/gpu-stack.md`](references/gpu-stack.md) (memory, SM, communication, dispatch) and [`references/execution-model.md`](references/execution-model.md) (lazy execution, sync points, mapper).\n\n### Step 4 — Produce a structured assessment\n\nDeliver the report in this order. Cite `file:line` for every finding so the user can navigate.\n\n1. **Verdict** in one sentence — see \"Verdict framework\" below.\n1. **What works (SCALES findings)** — quote representative lines so the user sees what will speed up after the import swap.\n1. **What blocks (BLOCKS findings)** — each tied to [`idioms-that-block.md`](references/idioms-that-block.md) and a recipe in [`refactor-recipes.md`](references/refactor-recipes.md).\n1. **What's fixable (REFACTOR findings)** — group by recipe; one recipe often fixes many sites.\n1. **Compatibility / cost notes (INFO findings)** — SciPy boundaries, single-GPU-only linalg / FFT, RNG layout vs `--gpus N`.\n1. **API support gaps** — APIs the code calls that are unimplemented or single-GPU only per the manifest.\n1. **Decision-framework summary** — Gates 1–6 from [`references/decision-framework.md`](references/decision-framework.md), marked pass / fail / uncertain.\n1. **Recommended next steps** — which recipes to apply first, whether to port one module first, and when to involve cuPyNumeric Doctor.\n\n**All 8 sections must appear**, even when the verdict is READY or NOT RECOMMENDED. Under an empty section write **\"None for this code\"** or **\"n/a — see verdict\"** in one line — do NOT omit the heading; the headings are the structural contract the report is graded on. See [`assets/sample_report.md`](assets/sample_report.md) for worked reports.\n\n### Step 5 — Hand off to cuPyNumeric Doctor for runtime validation\n\nDirect the user to run [cuPyNumeric Doctor](https://docs.nvidia.com/cupynumeric/latest/user/doctor.html) once they have applied the recipes and the code runs:\n\n```bash\nCUPYNUMERIC_DOCTOR=1 CUPYNUMERIC_DOCTOR_FORMAT=json CUPYNUMERIC_DOCTOR_FILENAME=doctor-report.json legate --gpus 1 main.py\n```\n\ncuPyNumeric Doctor catches at runtime what source review can miss (scalar item access, ndarray iteration, advanced indexing, `nonzero` misuse, `mpi4py` import, in-place ops on views). End the assessment at: \"now run with cuPyNumeric Doctor enabled; here is what to look for in its output.\"\n\n## Verdict framework\n\nAssign the verdict **qualitatively**, from the *kinds* of findings, not a score:\n\n| Verdict | When | Action |\n|---|---|---|\n| **READY** | No BLOCKS; few/no REFACTOR | Swap the import; benchmark |\n| **LIGHT REFACTOR** | A few recipe-fixable patterns ([R201](references/idioms-that-block.md#r201)–[R206](references/idioms-that-block.md#r206)), or one or two simple BLOCKS | Apply 1–3 recipes from [`refactor-recipes.md`](references/refactor-recipes.md); re-walk to READY |\n| **SIGNIFICANT REFACTOR** | Multiple BLOCKS in hot paths, or any [R108](references/idioms-that-block.md#r108) (`mpi4py`) — rewrites, not disqualifications | Real project; budget 1–3 engineer-weeks per module |\n| **NOT RECOMMENDED** | Only two failures: Gate 2 (arrays below the 65,536 floor) or Gate 4 (wrong compute pattern). A pile of BLOCKS does *not* land here | Restructure first or use a different runtime |\n\nApply these in order; the first match wins:\n\n1. **Gate 4 fails** (sparse / graph / ML / sequential / string) → **NOT RECOMMENDED**.\n1. **Gate 2 fails** (hot-path arrays < 65,536 elements/GPU, no realistic batching path) → **NOT RECOMMENDED**.\n1. **Any [R108](references/idioms-that-block.md#r108) (`mpi4py`)** → **SIGNIFICANT REFACTOR** (the parallelism-layer rewrite is the cost, not a disqualification).\n1. **Multiple BLOCKS** ([R101](references/idioms-that-block.md#r101)–[R111](references/idioms-that-block.md#r111)) across hot paths → **SIGNIFICANT REFACTOR** (count does not escalate past this — each BLOCKS has a documented recipe).\n1. **One or two recipe-fixable BLOCKS** (e.g., R101–R104 element-loop / sync) → **LIGHT REFACTOR**.\n1. **Only REFACTOR patterns** (R201–R206) → **LIGHT REFACTOR","tagline":"Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porti","category":"research","tags":["agent-skill"],"author":"NVIDIA","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"NVIDIA/skills","creatorName":"NVIDIA","creatorUrl":"https://github.com/NVIDIA","sourceUrl":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":3174,"forks":370,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":47.91},"quality":{"score":82,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"3.2K","tone":"positive"},{"label":"Freshness","value":"4d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"CC-BY-4.0 OR Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":71,"base_score":79,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"CC-BY-4.0 OR Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":56,"weight":0.12,"status":"warn","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":36,"weight":0.07,"status":"fail","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"3.2K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"3.2K stars, 370 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d since push"},{"status":"pass","label":"License clarity","detail":"CC-BY-4.0 OR Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"3.2K GitHub stars","repoActivity":"3.2K stars, 370 forks","lastPushed":"4d since push","license":"CC-BY-4.0 OR Apache-2.0","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","install":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"sandbox_only"},"installReadiness":{"ready":true,"command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","policy":"sandbox_only","label":"Sandbox only","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","4d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"sandbox_only","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","trust_score":71,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"knownRisks":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":79,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":79,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"3.2K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"3.2K stars, 370 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"CC-BY-4.0 OR Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":56,"weight":0.12,"status":"warn","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":36,"weight":0.07,"status":"fail","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"3.2K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"3.2K stars, 370 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d since push"},{"status":"pass","label":"License clarity","detail":"CC-BY-4.0 OR Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"3.2K GitHub stars","repoActivity":"3.2K stars, 370 forks","lastPushed":"4d since push","license":"CC-BY-4.0 OR Apache-2.0","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","install":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","policy":"sandbox_only","label":"Sandbox only","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","4d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"sandbox_only","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"knownRisks":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":52,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Audit risk risky exceeds max_risk=medium"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"audit_risk":"risky","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Audit risk risky exceeds max_risk=medium"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":75,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Audit score: Risky","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Audit score: Risky","Agent safety gate: This skill should not be selected by an agent without explicit human security review.","Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate cupynumeric-migration-readiness before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness"]},{"id":"trust_score","label":"Trust score","status":"warn","score":79,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","3.2K GitHub stars","CC-BY-4.0 OR Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"fail","score":84,"required_for_auto_install":true,"detail":"Risky","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":52,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Audit risk exceeds the requested agent policy"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"CC-BY-4.0 OR Apache-2.0","evidence":["CC-BY-4.0 OR Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness/evals","api":"/api/agent/evals?slug=nvidia-cupynumeric-migration-readiness","text":"/api/agent/evals?slug=nvidia-cupynumeric-migration-readiness&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"nvidia-cupynumeric-migration-readiness","name":"cupynumeric-migration-readiness","description":"Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.","category":"research","url":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","github_repo":"NVIDIA/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add nvidia-cupynumeric-migration-readiness"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"cupynumeric-migration-readiness\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"cupynumeric-migration-readiness\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"cupynumeric-migration-readiness\" from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/nvidia-cupynumeric-migration-readiness/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nvidia-cupynumeric-migration-readiness"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"3.2K GitHub stars","repoActivity":"3.2K stars, 370 forks","lastPushed":"4d since push","license":"CC-BY-4.0 OR Apache-2.0","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","install":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"risky","risk_label":"Risky","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"4d since push","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"],"agent_contract":{"task_input":"Use cupynumeric-migration-readiness in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 84/100 Risky","Safety: 52/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nvidia-cupynumeric-migration-readiness (cupynumeric-migration-readiness)","install_command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","risk_summary":"Risky; Blocked for auto-install; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"nvidia-cupynumeric-migration-readiness","task":"Use cupynumeric-migration-readiness in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness","api":"https://www.openagentskill.com/api/agent/skills/nvidia-cupynumeric-migration-readiness","audit":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-cupynumeric-migration-readiness&task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-cupynumeric-migration-readiness/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-cupynumeric-migration-readiness"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"nvidia-cupynumeric-migration-readiness","name":"cupynumeric-migration-readiness","description":"Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.","category":"research","url":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","github_repo":"NVIDIA/skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add nvidia-cupynumeric-migration-readiness"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"cupynumeric-migration-readiness\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"cupynumeric-migration-readiness\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"cupynumeric-migration-readiness\" from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/nvidia-cupynumeric-migration-readiness/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nvidia-cupynumeric-migration-readiness"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"3.2K GitHub stars","repoActivity":"3.2K stars, 370 forks","lastPushed":"4d since push","license":"CC-BY-4.0 OR Apache-2.0","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","install":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"risky","risk_label":"Risky","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"4d since push","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"],"agent_contract":{"task_input":"Use cupynumeric-migration-readiness in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 84/100 Risky","Safety: 52/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nvidia-cupynumeric-migration-readiness (cupynumeric-migration-readiness)","install_command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","risk_summary":"Risky; Blocked for auto-install; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"nvidia-cupynumeric-migration-readiness","task":"Use cupynumeric-migration-readiness in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness","api":"https://www.openagentskill.com/api/agent/skills/nvidia-cupynumeric-migration-readiness","audit":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-cupynumeric-migration-readiness&task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20cupynumeric-migration-readiness%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-cupynumeric-migration-readiness/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-cupynumeric-migration-readiness"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":3174,"starsLabel":"3.2K","forks":370,"license":"CC-BY-4.0 OR Apache-2.0","qualityScore":82,"trustScore":79,"auditScore":84},"maintenance":{"status":"fresh","label":"4d since push","daysSincePush":4,"lastPushedAt":"2026-09-01T15:00:43+00:00"},"risk":{"level":"risky","label":"Risky","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":84,"risk_level":"risky","risk_label":"Risky","quality_score":82,"trust_score":79,"maintenance_score":100,"security_score":79,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":24.51,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add NVIDIA/skills --skill cupynumeric-migration-readiness","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add nvidia-cupynumeric-migration-readiness","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"cupynumeric-migration-readiness\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"cupynumeric-migration-readiness\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"cupynumeric-migration-readiness\" from https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"nvidia-cupynumeric-migration-readiness\",\"task\":\"Install cupynumeric-migration-readiness\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","github_repo":"NVIDIA/skills","version":"1.0.0","license":"CC-BY-4.0 OR Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/nvidia-cupynumeric-migration-readiness","repository":"https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-migration-readiness","api":"/api/agent/skills/nvidia-cupynumeric-migration-readiness","install_api":"/api/skills/nvidia-cupynumeric-migration-readiness/install"},"meta":{"created_at":"2026-09-02T11:33:10.048392+00:00","updated_at":"2026-09-02T11:33:10.312809+00:00","agent_friendly":true}}