Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-28 10:12 UTC

ovh / public-cloud-examples

HCL · Jupyter NotebookApache-2.0★ 46 stars⑂ 20 forkssince Nov 2022View on GitHub ↗

ovh/public-cloud-examples holds a health index of 61 out of 100, placing it in the Moderate band. It scores highest on Vitality (75/100) and lowest on Security (21/100). It was last updated 8 days ago. 2 contributors account for most of its recent work.

61
overall / 100
Moderate

Software 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.

61
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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

OVHcloudOrganization
1,545 followers177 public repossince May 2012OVHcloud

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

75Good · 22% of overall
How it's scored
28.8/36Push recency — last push 8 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 105 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year105
human_commit_share1
days_since_last_push8
active_weeks_last_year22
How it's scored
27/27Ships releases — 6 releases published
36/36Release recency — latest release 12 days ago
12.6/27Release cadence — a release every ~170.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tagv1.5.0
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases170.6

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

65Moderate · 18% of overall
How it's scored
26.8/60Stars — 46 stars
10.7/25Forks — 20 forks
5/15Watchers — 9 watchers
Inputs used
forks20
stars46
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductyes
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

69Moderate · 24% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.8/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 11 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled11
top_contributor_share0.387
How it's scored
26/46.8Issue resolution — 56% of issues closed
35.1/38.3PR acceptance — 110/120 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs110
open_issues4
closed_issues5
issue_closed_ratio0.556
closed_unmerged_prs10
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.9/25Owner reach — 1,545 followers of ovh
25/25Track record — 177 public repos, account ~14 yr old
Inputs used
followers1,545
owner_typeOrganization
is_verified
owner_loginovh
public_repos177
account_age_days5,199

Engineering Quality

Are baseline engineering and documentation practices in place?

63Moderate · 20% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

65Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
has_readmeyes
has_docs_diryes
has_descriptionno

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

21Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — no dependency manifests — not applicable
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesgo.sum, package-lock.json
manifests
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories196
affected_packages33
assessed_packages213
unassessed_packages23
affected_by_severitycritical 5, high 17, moderate 5, low 2, unknown 4
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 213 resolved dependencies against OSV. 23 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

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.

45At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
18.7/40Legible commit history — 35 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.35
agent_instruction_files
agent_instruction_max_bytes
How it's scored
12.6/18One-command bootstrap — ai/ai-endpoints/java-langchain4j-chatbot/pom.xml, ai/ai-endpoints/mcp-quarkus-langchain4j/ovh-mcp-server/pom.xml, ai/ai-endpoints/quarkus-langchain4j-streaming/pom.xml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum, package-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifestsai/ai-endpoints/java-langchain4j-chatbot/pom.xml, ai/ai-endpoints/mcp-quarkus-langchain4j/ovh-mcp-server/pom.xml, ai/ai-endpoints/quarkus-langchain4j-streaming/pom.xml, ai/ai-endpoints/quarkus-langchain4j/pom.xml, containers-orchestration/managed-kubernetes/create-cluster-with-cdktf-and-go/go.mod, containers-orchestration/managed-private-registry/create-registry-with-pulumi/ovhcloud-registry-go/go.mod, databases-analytics/databases/hello-pg-java/pom.xml
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — HCL without a type-check config
55/55Manageable file sizes — 0/53 source files over 60KB
Inputs used
primary_languageHCL
largest_source_bytes12,731
source_files_sampled53
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Key facts

46GitHub stars
11contributors
105commits, last 12 months
8days since last push
6releases
2bus factor
4open issues
package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 20 ⇿
0Stars
20Forks
5Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

0481216202012022-122024-082026-05
Major 0Minor 4Patch 0

Each point covers 4 days.

All dependencies 236

Full resolved dependency set from the GitHub dependency graph: 0 direct and 236 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Godario.cat/mergo1.0.0indirect
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Gogithub.com/atotto/clipboard0.1.4indirect
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Gogithub.com/aws/jsii-runtime-go1.93.0indirect
Gogithub.com/aymanbagabas/go-osc52/v22.0.1indirect
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Gogithub.com/charmbracelet/bubbletea0.24.2indirect
Gogithub.com/charmbracelet/lipgloss0.7.1indirect
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Gogithub.com/opentracing/basictracer-go1.1.0indirect
Gogithub.com/opentracing/opentracing-go1.2.0indirect
Gogithub.com/ovh/pulumi-ovh/sdk0.35.0indirect
Gogithub.com/pgavlin/fx0.1.6indirect
Gogithub.com/pjbgf/sha1cd0.3.0indirect
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Gogithub.com/pulumiverse/pulumi-harbor/sdk/v33.10.4indirect
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PyPIgradio5.31.0indirect
PyPIgradio5.38.0indirect
PyPIgradio5.48.0indirect
PyPIjsonschema4.25.0indirect
PyPIlangchain0.3.24indirect
PyPIlangchain0.3.26indirect
PyPIlangchain-chroma0.2.3indirect
PyPIlangchain-community0.3.22indirect
PyPIlangchain-core0.3.69indirect
PyPIlangchain-mistralai0.2.10indirect
PyPIlangchain-openai0.1.14indirect
PyPIlangchain-openai0.3.28indirect
PyPIlangchainhub0.1.21indirect
PyPIlangfuse4.12.0indirect
PyPIlibrosa0.10.1indirect
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PyPIopenaiindirect
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Dependency advisories 33

This repository publishes no package the index resolves, so its own dependency graph was assessed — 213 packages, which also include development and test pins that never ship: 33 carry known advisories, of which 0 are direct. 23 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
github.com/go-git/go-git/v55.9.0indirectcritical246.0.0-alpha.4
golang.org/x/crypto0.14.0indirectcritical383.4.0
google.golang.org/grpc1.57.1indirectcritical41.82.1
langchain-core0.3.69indirectcritical121.3.3
unstructured0.17.2indirectcritical20.18.18
@langchain/core0.2.2indirecthigh11.2.3
dev.langchain4j:langchain4j-pgvector0.36.2indirecthigh11.16.3-beta26
form-data4.0.0indirecthigh24.0.6
github.com/go-git/go-billy/v55.5.0indirecthigh46.0.0-alpha.1
github.com/golang/glog1.1.0indirecthigh21.2.4
google.golang.org/protobuf1.31.0indirecthigh21.33.0
gradio5.31.0indirecthigh136.16.0
gradio5.38.0indirecthigh136.16.0
gradio5.48.0indirecthigh136.16.0
js-yaml4.1.0indirecthigh34.3.0
langchain0.2.2indirecthigh21.2.3
langchain0.3.24indirecthigh41.4.6
langchain0.3.26indirecthigh41.4.6
langchain-community0.3.22indirecthigh20.3.27
langsmith0.1.28indirecthigh31.0.7
streamlit1.27.2indirecthigh71.54.0
uuid9.0.1indirecthigh113.0.1
github.com/cloudflare/circl1.3.3indirectmoderate61.6.3
golang.org/x/net0.17.0indirectmoderate181.26.3
python-dotenv1.0.1indirectmoderate21.2.2
streamlit1.42.0indirectmoderate41.54.0
yaml2.4.2indirectmoderate12.8.3
langchain-openai0.1.14indirectlow21.1.14
langchain-openai0.3.28indirectlow21.1.14
github.com/yuin/goldmark1.4.13indirectunknown11.7.17
golang.org/x/sys0.13.0indirectunknown10.44.0
golang.org/x/sys0.14.0indirectunknown10.44.0
golang.org/x/text0.13.0indirectunknown10.39.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable
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        "metrics": [
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            "key": "security_posture",
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                "key": "no_advisories_left_outstanding",
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                "status": "excluded",
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            "key": "malicious_dependencies",
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            "value": 100,
            "inputs": {
              "source": "osv",
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            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 9
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 45,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 19,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.35,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "35 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 18.7,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 35,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 62,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "go.sum",
                "package-lock.json"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [
                "ai/ai-endpoints/java-langchain4j-chatbot/pom.xml",
                "ai/ai-endpoints/mcp-quarkus-langchain4j/ovh-mcp-server/pom.xml",
                "ai/ai-endpoints/quarkus-langchain4j-streaming/pom.xml",
                "ai/ai-endpoints/quarkus-langchain4j/pom.xml",
                "containers-orchestration/managed-kubernetes/create-cluster-with-cdktf-and-go/go.mod",
                "containers-orchestration/managed-private-registry/create-registry-with-pulumi/ovhcloud-registry-go/go.mod",
                "databases-analytics/databases/hello-pg-java/pom.xml"
              ],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "ai/ai-endpoints/java-langchain4j-chatbot/pom.xml, ai/ai-endpoints/mcp-quarkus-langchain4j/ovh-mcp-server/pom.xml, ai/ai-endpoints/quarkus-langchain4j-streaming/pom.xml (toolchain convention, no task runner)",
                "points": 12.6,
                "status": "partial",
                "details": [
                  {
                    "code": "toolchain_convention",
                    "params": {
                      "files": "ai/ai-endpoints/java-langchain4j-chatbot/pom.xml, ai/ai-endpoints/mcp-quarkus-langchain4j/ovh-mcp-server/pom.xml, ai/ai-endpoints/quarkus-langchain4j-streaming/pom.xml"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "HCL",
              "largest_source_bytes": 12731,
              "source_files_sampled": 53,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "HCL without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "HCL"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/53 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 53,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T10:12:36.764847Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/ovh/public-cloud-examples.svg",
  "full_name": "ovh/public-cloud-examples",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.