Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-14 14:53 UTC

app-sre / qontract-reconcile

CLI tool to reconcile services with their desired state as defined in App-Interface

PythonApache-2.0★ 37 stars⑂ 106 forkssince Nov 2018View on GitHub ↗

app-sre/qontract-reconcile holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (84/100) and lowest on Engineering Quality (52/100). It was last updated today. 4 contributors account for most of its recent work.

64
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.

64
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

AppSREOrganization
91 followers140 public repossince Sep 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIqontract-reconcile0.10.141,3902,928581 days ago
PyPIqontract-api-client0.1.08541159 days ago
PyPIqontract-utils0.1.08511159 days ago

Metrics by category

Vitality

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

60Moderate · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 480 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year480
human_commit_share
days_since_last_push0
active_weeks_last_year51
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

56Moderate · 18% of overall
How it's scored
25.2/60Stars — 37 stars
16.8/25Forks — 106 forks
5.8/15Watchers — 12 watchers
Inputs used
forks106
stars37
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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
How it's scored
61.8/80Monthly downloads — 43,095 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesqontract-reconcile, qontract-api-client, qontract-utils
dependents
ecosystemspypi
total_downloads
monthly_downloads43,095
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?

84Good · 24% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
15/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 62 contributors
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled62
top_contributor_share0.333
How it's scored
38.9/46.8Issue resolution — 83% of issues closed
34.9/38.3PR acceptance — 5,110/5,598 decided PRs merged
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs5,110
open_issues3
closed_issues15
issue_closed_ratio0.833
closed_unmerged_prs488
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.1/25Owner reach — 91 followers of app-sre
25/25Track record — 140 public repos, account ~7 yr old
Inputs used
followers91
owner_typeOrganization
is_verified
owner_loginapp-sre
public_repos140
account_age_days2,864
How it's scored
25/25Published & resolvable — 3 package(s) on pypi
35/35Publish recency — latest publish 159 days ago
20/20Version history — 2,928 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesqontract-reconcile, qontract-api-client, qontract-utils
ecosystemspypi
any_deprecatedno
min_days_since_publish159

Engineering Quality

Are baseline engineering and documentation practices in place?

52Moderate · 20% of overall
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 3 out of 30 merged PRs checked by a CI test -- score normalized to 1
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://quay.io/repository/redhat-services-prod/app-sre-tenant/qontract-reconcile-master/qontract-reconcile-master
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://quay.io/repository/redhat-services-prod/app-sre-tenant/qontract-reconcile-master/qontract-reconcile-master
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0.2/2.5CI-Tests — 3 out of 30 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 19 contributing companies or organizations
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
5/5Pinned-Dependencies — all dependencies are pinned
0.5/5SAST — SAST tool is not run on all commits -- score normalized to 1
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate6.3
Excluded from scoring (no data or not applicable): branch_protection, dangerous_workflow, packaging, signed_releases, token_permissions. 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.

76Good · 0% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,858
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — Makefile, opa/Makefile, qontract_api/Makefile, qontract_api_client/Makefile, qontract_utils/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, opa/Makefile, qontract_api/Makefile, qontract_api_client/Makefile, qontract_utils/Makefile
has_devcontainerno
has_linter_configno
typecheck_configsqontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/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 (qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed)
54.7/55Manageable file sizes — 9/1,478 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes308,179
source_files_sampled1,478
oversized_source_files9
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — qontract_api/openapi.json
0/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filesqontract_api/openapi.json

Key facts

37GitHub stars
62contributors
480commits, last 12 months
0days since last push
0releases
4bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'qontract-api' from its registry

More detail

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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).Scorecard v5.5.0 · 2026-07-14 14:52 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
1CI-Tests3 out of 30 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 19 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
1SASTSAST tool is not run on all commits -- score normalized to 1
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 80
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PyPIqontract-api-clientqontract_api/pyproject.toml
PyPIqontract-utilsqontract_api/pyproject.toml
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PyPIuvicorn==0.47.0qontract_api/pyproject.toml
PyPIclientele==2.2.2qontract_api_client/pyproject.toml
PyPIboto3==1.43.10qontract_utils/pyproject.toml
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PyPIpygithub==1.58.2qontract_utils/pyproject.toml
PyPIpython-gitlab==6.0.0qontract_utils/pyproject.toml
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PyPIrequests==2.34.2qontract_utils/pyproject.toml
PyPIruamel-yaml==0.19.1qontract_utils/pyproject.toml
PyPIslack_sdk==3.42.0qontract_utils/pyproject.toml
PyPIstamina==26.1.0qontract_utils/pyproject.toml
PyPIstructlog==25.5.0qontract_utils/pyproject.toml
All dependencies 240

Full resolved dependency set from the GitHub dependency graph: 65 direct and 175 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 1",
                "points": 0.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "No tokens found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "8 existing vulnerabilities detected",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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": "good",
        "name": "AI Readiness",
        "value": 76,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "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": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 7858
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, CLAUDE.md"
                    }
                  }
                ],
                "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": "excellent",
            "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": 87,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "opa/Makefile",
                "qontract_api/Makefile",
                "qontract_api_client/Makefile",
                "qontract_utils/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "qontract_api/qontract_api/py.typed",
                "qontract_api_client/qontract_api_client/py.typed",
                "qontract_utils/qontract_utils/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, opa/Makefile, qontract_api/Makefile, qontract_api_client/Makefile, qontract_utils/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, opa/Makefile, qontract_api/Makefile, qontract_api_client/Makefile, qontract_utils/Makefile"
                    }
                  }
                ],
                "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed"
                    }
                  }
                ],
                "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 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": "all dependencies are pinned",
                "points": 10,
                "status": "met",
                "details": [],
                "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": 308179,
              "source_files_sampled": 1478,
              "oversized_source_files": 9
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "qontract_api/qontract_api/py.typed, qontract_api_client/qontract_api_client/py.typed, qontract_utils/qontract_utils/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "9/1478 source files over 60KB",
                "points": 54.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1478,
                      "oversized": 9
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [],
              "has_mcp_signal": false,
              "api_schema_files": [
                "qontract_api/openapi.json"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "qontract_api/openapi.json",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "qontract_api/openapi.json"
                    }
                  }
                ],
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": [
    "Could not fetch pypi package 'qontract-api' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-14T14:53:15.654599Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/app-sre/qontract-reconcile.svg",
  "full_name": "app-sre/qontract-reconcile",
  "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 v0.11.0 — full methodology · metrics wiki.

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