Public record
Software health reportschema 0.16.0 · metrics 1.13.0 · 2026-07-21 00:15 UTC

misialq / ncbi-datasets-pyclient

PythonBSD-3-Clause★ 2 stars⑂ 0 forkssince Mar 2025View on GitHub ↗

misialq/ncbi-datasets-pyclient holds a health index of 54 out of 100, placing it in the Moderate band. It scores highest on Vitality (77/100) and lowest on Security (15/100). It was last updated 9 days ago. A single contributor accounts for most of its recent work.

54
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.

54
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

Michal ZiemskiPersonal account
24 followers59 public repossince Sep 2016ETH Zürich

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIncbi-datasets-pyclient18.33.1-329 days agoopenapiopenapi-generatorncbi-datasets-api

Metrics by category

Vitality

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

77Good · 22% of overall
How it's scored
28.8/36Push recency — last push 9 days ago
14.5/36Commit cadence — 21/52 weeks with commits
12.7/18Commit volume — 25 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year25
human_commit_share
days_since_last_push9
active_weeks_last_year21

Release discipline

100Excellent
How it's scored
27/27Ships releases — 34 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~10.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count34
latest_release_tagv18.33.1
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases10.6

Community & Adoption

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

24Critical · 18% of overall
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars2
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
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?

65Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.2/22.5Commit distribution — top contributor authored 77% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.767
How it's scored
46.8/46.8Issue resolution — 100% of issues closed
38.2/38.3PR acceptance — 1/1 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs1
open_issues0
closed_issues1
issue_closed_ratio1
closed_unmerged_prs0
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
10.1/25Owner reach — 24 followers of misialq
24.9/25Track record — 59 public repos, account ~9 yr old
Inputs used
followers24
owner_typeUser
is_verified
owner_loginmisialq
public_repos59
account_age_days3,592
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 9 days ago
20/20Version history — 32 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesncbi-datasets-pyclient
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 20% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
0/9.6Pre-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_configno

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?

15Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt, setup.cfg, setup.py
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
14/35Direct dependencies free of known advisories — 1 affected: urllib3 2.6.3 (high 7.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories10
affected_packages3
assessed_packages38
unassessed_packages10
affected_by_severityhigh 1, moderate 2
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 38 resolved dependencies against OSV. 10 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.

44At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — ncbi/datasets/openapi/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
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_configsncbi/datasets/openapi/py.typed
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.
How it's scored
27/45Type-checkable code — Python with type-check config (ncbi/datasets/openapi/py.typed)
54.6/55Manageable file sizes — 5/732 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes617,661
source_files_sampled732
oversized_source_files5

Key facts

2GitHub stars
2contributors
25commits, last 12 months
9days since last push
34releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:ncbi-datasets-pyclient@18.33.1; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIurllib3(>=2.1.0,<3.0.0)pyproject.toml
PyPIpython-dateutil(>=2.8.2)pyproject.toml
PyPIpydantic(>=2.11)pyproject.toml
PyPItyping-extensions(>=4.7.1)pyproject.toml
All dependencies 48

Full resolved dependency set from the GitHub dependency graph: 8 direct and 40 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpydanticdirect
PyPIpydantic2.13.4direct
PyPIpython-dateutildirect
PyPIpython-dateutil2.9.0.post0direct
PyPItyping-extensionsdirect
PyPItyping-extensions4.16.0direct
PyPIurllib3direct
PyPIurllib32.6.3direct
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIcachetools6.2.6indirect
PyPIchardet5.2.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.19.1indirect
PyPIflake8indirect
PyPIflake87.3.0indirect
PyPIiniconfig2.1.0indirect
PyPIlibrt0.13.0indirect
PyPImccabe0.7.0indirect
PyPImypyindirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.6.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.9.1indirect
PyPIpytestindirect
PyPIpytest8.4.2indirect
PyPIpytest-covindirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.4.4indirect
PyPIsix1.17.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItoxindirect
PyPItox4.30.3indirect
PyPItypes-python-dateutilindirect
PyPItypes-python-dateutil2.9.0.20260124indirect
PyPItyping-inspection0.4.2indirect
PyPIvirtualenv21.6.1indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 38 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 1 are direct. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib32.6.3directhigh42.7.0
filelock3.19.1indirectmoderate43.20.3
pytest8.4.2indirectmoderate29.0.3

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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                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 15,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "dependency_lockfiles"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [],
              "manifests": [
                "pyproject.toml",
                "requirements.txt",
                "setup.cfg",
                "setup.py"
              ],
              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": false
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "lockfiles_not_expected",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "good",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 38 resolved dependencies against OSV; 10 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.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 38
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 10
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 72,
            "inputs": {
              "source": "osv",
              "advisories": 10,
              "affected_packages": 3,
              "assessed_packages": 38,
              "unassessed_packages": 10,
              "affected_by_severity": "high 1, moderate 2",
              "direct_affected_packages": 1
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "1 affected: urllib3 2.6.3 (high 7.5)",
                "points": 14,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 1,
                      "packages": "urllib3 2.6.3 (high 7.5)"
                    }
                  }
                ],
                "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 has been public longer than 90 days",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "advisories_none_stale",
                    "params": {
                      "days": 90
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "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": 38,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "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": 2
            },
            "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": 44,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 61,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "ncbi/datasets/openapi/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "ncbi/datasets/openapi/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "ncbi/datasets/openapi/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "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": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 617661,
              "source_files_sampled": 732,
              "oversized_source_files": 5
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (ncbi/datasets/openapi/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "ncbi/datasets/openapi/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "5/732 source files over 60KB",
                "points": 54.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 732,
                      "oversized": 5
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": [
    "deps.dev does not index pypi:ncbi-datasets-pyclient@18.33.1; advisories assessed against the repository dependency graph instead",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T00:15:02.827497Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/misialq/ncbi-datasets-pyclient.svg",
  "full_name": "misialq/ncbi-datasets-pyclient",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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 v0.16.0 — full methodology · metrics wiki.

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