Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 01:57 UTC
NVIDIA / cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
NVIDIA/cutlass holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (98/100) and lowest on AI Readiness (46/100). It was last updated today. 10 contributors account for most of its recent work.
78
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
78
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
NVIDIA CorporationOrganization
27,985 followers764 public repossince May 2012
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | nvidia-cutlass-operators | 0.1.0 | - | 1 | 12 days ago | cutlasscudagpugemmnvidiadeep-learning |
| PyPI | nvidia-cutlass | 4.2.0.0 | 9,805 | 9 | 298 days ago | — |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
98
Development activity
97Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 33.2/36 | Commit cadence — 48/52 weeks with commits |
| 18/18 | Commit volume — 250 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 250 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 48 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 60 releases published |
| 36/36 | Release recency — latest release 1 days ago |
| 27/27 | Release cadence — a release every ~15.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 60 |
| latest_release_tag | v4.6.0 |
| releases_from_tags | no |
| days_since_latest_release | 1 |
| mean_days_between_releases | 15.1 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
71
Popularity & adoption
97Excellent
How it's scored
| 60/60 | Stars — 10,078 stars |
| 25/25 | Forks — 1,959 forks |
| 11.7/15 | Watchers — 128 watchers |
Inputs used
| forks | 1,959 |
| stars | 10,078 |
| watchers | 128 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
44At risk
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
66Moderate
How it's scored
| 53.2/80 | Monthly downloads — 9,805 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | nvidia-cutlass-operators, nvidia-cutlass |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 9,805 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
89
Maintainer resilience (bus factor)
96Excellent
How it's scored
| 54/54 | Bus factor — 10 contributor(s) cover half of all commits |
| 18.3/22.5 | Commit distribution — top contributor authored 18% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations |
Inputs used
| bus_factor | 10 |
| contributors_sampled | 100 |
| top_contributor_share | 0.185 |
How it's scored
| 35.6/46.8 | Issue resolution — 76% of issues closed |
| 29.7/38.3 | PR acceptance — 720/927 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 720 |
| open_issues | 461 |
| closed_issues | 1,472 |
| issue_closed_ratio | 0.762 |
| closed_unmerged_prs | 207 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 27,985 followers of NVIDIA |
| 25/25 | Track record — 764 public repos, account ~14 yr old |
Inputs used
| followers | 27,985 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 764 |
| account_age_days | 5,178 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 2 package(s) on pypi |
| 35/35 | Publish recency — latest publish 12 days ago |
| 20/20 | Version history — 9 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | nvidia-cutlass-operators, nvidia-cutlass |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 12 |
Engineering Quality
Are baseline engineering and documentation practices in place?
69
Engineering practices
48At risk
How it's scored
| 24/24 | CI workflows — 5 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://docs.nvidia.com/cutlass/index.html |
| 10/10 | Repository description |
| 10/10 | Topics — 7 topics |
| 10/10 | Wiki |
Inputs used
| topics | cpp, cuda, deep-learning, deep-learning-library, gpu, nvidia, python |
| has_wiki | yes |
| homepage | https://docs.nvidia.com/cutlass/index.html |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
53
Security posture
53Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 20 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5.3 |
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
46
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
62Moderate
How it's scored
| 18/18 | One-command bootstrap — python/docs_src/Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — C++ (statically typed) |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | python/docs_src/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
96Excellent
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 50.9/55 | Manageable file sizes — 148/1,969 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 2,932,673 |
| source_files_sampled | 1,969 |
| oversized_source_files | 148 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
10,078GitHub stars
100contributors
250commits, last 12 months
0days since last push
60releases
10bus factor
461open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 5.3 / 10
5.3aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 0 | CI-Tests | 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 20 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 9
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | nvidia-cutlass-dsl | >= 4.6 | operators/pyproject.toml |
| PyPI | apache-tvm-ffi | >= 0.1.11 | operators/pyproject.toml |
| PyPI | networkx | >= 3.0.0 | operators/pyproject.toml |
| PyPI | cuda-python | >=11.8.0 | pyproject.toml |
| PyPI | networkx | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | pydot | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | treelib | — | pyproject.toml |
All dependencies 12
Full resolved dependency set from the GitHub dependency graph: 9 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | apache-tvm-ffi | — | direct |
| PyPI | cuda-python | — | direct |
| PyPI | networkx | — | direct |
| PyPI | numpy | — | direct |
| PyPI | nvidia-cutlass-dsl | 4.6.1 | direct |
| PyPI | nvidia-cutlass-dsl | — | direct |
| PyPI | pydot | — | direct |
| PyPI | scipy | — | direct |
| PyPI | treelib | — | direct |
| PyPI | darker | 3.0.0 | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | torch-c-dlpack-ext | — | indirect |
Raw JSON report machine-readable
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{
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{
"type": "User",
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{
"type": "User",
"login": "HydraQYH",
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],
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"config": {
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"source": {
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"community": 71,
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"components": []
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{
"key": "watchers",
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"components": [
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{
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"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"points": 0,
"status": "missed",
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}
]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"cuda",
"deep-learning",
"deep-learning-library",
"gpu",
"nvidia",
"python"
],
"has_wiki": true,
"homepage": "https://docs.nvidia.com/cutlass/index.html",
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"components": [
{
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"detail": null,
"points": 30,
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"details": [],
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},
{
"key": "documentation_directory",
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"detail": null,
"points": 25,
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"details": [],
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},
{
"key": "documentation_homepage_site",
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},
{
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"points": 10,
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"details": [],
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},
{
"key": "topics",
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"details": [
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],
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{
"key": "wiki",
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}
]
}
],
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},
{
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"metrics": [
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"notes": [
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},
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"key": "dependency_update_tool",
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"points": 0,
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},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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},
{
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"points": 2.2,
"status": "partial",
"details": [],
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},
{
"key": "maintained",
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},
{
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],
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{
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"status": "missed",
"details": [],
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},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
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"status": "missed",
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},
{
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}
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{
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},
{
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"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
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}
],
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"exposures": [],
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"components": [
{
"key": "policy_exposure_multiplier",
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"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
],
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}
]
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],
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},
{
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"name": "AI Readiness",
"value": 46,
"weight": 0,
"metrics": [
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"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
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{
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},
"components": [
{
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"points": 0,
"status": "missed",
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"params": {}
}
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"max_points": 45
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{
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},
{
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},
{
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},
"components": [
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},
{
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},
{
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{
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},
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{
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{
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}
]
},
{
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{
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],
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]
},
{
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},
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},
{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-15T01:57:12.202356Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NVIDIA/cutlass.svg",
"full_name": "NVIDIA/cutlass",
"license_state": "custom",
"license_spdx": null
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.