Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-27 20:58 UTC

octo-models / octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

PythonMIT★ 1,721 stars⑂ 274 forkssince Dec 2023View on GitHub ↗

octo-models/octo holds a health index of 31 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (91/100) and lowest on Vitality (18/100). It was last updated 726 days ago. 2 contributors account for most of its recent work.

31
overall / 100
At risk

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.

31
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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Ownership

octo-modelsOrganization
30 followers2 public repossince Dec 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIoctopoints to another repo — not scored0.3.019564793 days ago

Metrics by category

Vitality

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

18Critical · 22% of overall
How it's scored
0/36Push recency — last push 726 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push726
active_weeks_last_year0
How it's scored
27/27Ships releases — 2 releases published
0/36Release recency — latest release 794 days ago
12.6/27Release cadence — a release every ~157.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count2
latest_release_tagv1.5
releases_from_tagsno
days_since_latest_release794
mean_days_between_releases157.3

Community & Adoption

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

66Moderate · 18% of overall
How it's scored
52.5/60Stars — 1,721 stars
20.3/25Forks — 274 forks
7/15Watchers — 19 watchers
Inputs used
forks274
stars1,721
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

56Moderate · 24% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 13 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled13
top_contributor_share0.262
How it's scored
16/46.8Issue resolution — 34% of issues closed
32.1/38.3PR acceptance — 26/31 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs26
open_issues88
closed_issues46
issue_closed_ratio0.343
closed_unmerged_prs5
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.7/25Owner reach — 30 followers of octo-models
8.7/25Track record — 2 public repos, account ~2 yr old
Inputs used
followers30
owner_typeOrganization
is_verified
owner_loginocto-models
public_repos2
account_age_days957

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 20% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — .flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://octo-models.github.io/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://octo-models.github.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

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
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
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
advisories0
affected_packages0
assessed_packages12
unassessed_packages14
affected_by_severitynone
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 12 resolved dependencies against OSV. 14 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.

34At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
14.9/40Legible commit history — 28 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.28
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8
0/11Static type checking
0/10Reproducible environment
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
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/48 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,209
source_files_sampled48
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

1,721GitHub stars
13contributors
0commits, last 12 months
726days since last push
2releases
2bus factor
88open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'octo' points at a different repository (http://octo.zoni.nl); excluded from ecosystem scoring
  • OpenSSF Scorecard did not return a usable result (2026/07/27 20:58:10 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 274 ⇿
0Stars
274Forks
2Releases

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.

05010015020025030026382023-122025-042026-07
Major 0Minor 1Patch 0

Each point covers 3 days.

All dependencies 26

Full resolved dependency set from the GitHub dependency graph: 0 direct and 26 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIabsl-pyindirect
PyPIchex0.1.85indirect
PyPIdistrax0.1.5indirect
PyPIeinopsindirect
PyPIflax0.7.5indirect
PyPIgymindirect
PyPIimageioindirect
PyPIjax0.4.20indirect
PyPImatplotlibindirect
PyPIml-collectionsindirect
PyPIml-dtypes0.2.0indirect
PyPImoviepyindirect
PyPInumpy1.24.3indirect
PyPIoptax0.1.5indirect
PyPIplotlyindirect
PyPIpre-commit3.3.3indirect
PyPIscipyindirect
PyPItensorflow2.15.0indirect
PyPItensorflow-datasets4.9.2indirect
PyPItensorflow-graphics2021.12.3indirect
PyPItensorflow-hubindirect
PyPItensorflow-probability0.23.0indirect
PyPItensorflow-textindirect
PyPItqdmindirect
PyPItransformersindirect
PyPIwandbindirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 12 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 14 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

No known advisories affect the assessed dependencies.

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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                "key": "release_cadence",
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              "cap": 49,
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                "key": "openssf_scorecard_code_review",
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        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
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        "weight": 0.2,
        "metrics": [
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            "name": "Engineering practices",
            "note": null,
            "notes": [],
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            "inputs": {
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                "status": "met",
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                "key": "tests_present",
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                "points": 24,
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              },
              {
                "key": "linter_config",
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                "details": [
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                "max_points": 16
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              {
                "key": "pre_commit_hooks",
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                "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",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
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                ],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
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            "notes": [],
            "value": 90,
            "inputs": {
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              "homepage": "https://octo-models.github.io/",
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                "name": "README",
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                "points": 30,
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                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
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                "status": "met",
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              },
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                "key": "documentation_homepage_site",
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                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
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                "points": 10,
                "status": "met",
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                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
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                "status": "missed",
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              },
              {
                "key": "wiki",
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                "points": 10,
                "status": "met",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "critical",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 1,
            "inputs": {
              "source": "file_signals",
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              "has_dependabot_config": false
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            "components": [
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                "key": "security_policy_security_md",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
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              },
              {
                "key": "codeql_workflow",
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            ]
          },
          {
            "key": "dependency_advisories",
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              },
              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_repository",
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              },
              {
                "code": "advisories_unassessed",
                "params": {
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              },
              {
                "code": "advisories_repo_graph_caveat",
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              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
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              "affected_packages": 0,
              "assessed_packages": 12,
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              "affected_by_severity": "none",
              "direct_affected_packages": 0
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
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                    "code": "no_direct_advisories",
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                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 12,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "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": [
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                    "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"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 10
            },
            "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": 34,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 15,
            "inputs": {
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              "legible_history_share": 0.28,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                ],
                "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",
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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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "pypi package 'octo' points at a different repository (http://octo.zoni.nl); excluded from ecosystem scoring",
    "OpenSSF Scorecard did not return a usable result (2026/07/27 20:58:10 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T20:58:34.910620Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/octo-models/octo.svg",
  "full_name": "octo-models/octo",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 statisticsPyPI.