Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-24 11:25 UTC

luducat / luducat

Luducat. Privacy-first game catalog browser. Every store, one library. Extensible through plugins.

PythonCustom license★ 17 stars⑂ 0 forkssince Jan 2026View on GitHub ↗

luducat/luducat holds a health index of 47 out of 100, placing it in the At risk band. It scores highest on Vitality (70/100) and lowest on AI Readiness (16/100). It was last updated 30 days ago.

47
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.

47
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

LuducatOrganization
2 followers4 public repossince Jan 2026

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?

70Good · 22% of overall
How it's scored
28.8/36Push recency — last push 30 days ago
6.9/36Commit cadence — 10/52 weeks with commits
9.4/18Commit volume — 10 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year10
human_commit_share
days_since_last_push30
active_weeks_last_year10

Release discipline

100Excellent
How it's scored
27/27Ships releases — 10 releases published
36/36Release recency — latest release 30 days ago
27/27Release cadence — a release every ~11.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count10
latest_release_tagv0.8.3
releases_from_tagsno
days_since_latest_release30
mean_days_between_releases11.4

Community & Adoption

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

41At risk · 18% of overall
How it's scored
19.5/60Stars — 17 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars17
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
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?

52Moderate · 24% of overall
How it's scored
29.7/46.8Issue resolution — 64% of issues closed
0/38.3PR acceptance — no decided pull requests or no data
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs0
open_issues4
closed_issues7
issue_closed_ratio0.636
closed_unmerged_prs0
Excluded from scoring (no data or not applicable): PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
3.4/25Owner reach — 2 followers of luducat
6.1/25Track record — 4 public repos, account ~0 yr old
Inputs used
followers2
owner_typeOrganization
is_verified
owner_loginluducat
public_repos4
account_age_days184

Engineering Quality

Are baseline engineering and documentation practices in place?

41At risk · 20% of overall
How it's scored
0/24CI workflows
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://luducat.org
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsdata-hoarding, digital-preservation, dosbox, drm-free, epic-games, game-catalog, game-collection, game-library, game-preservation, gog, linux-gaming, multi-store, pc-gaming, plugin-system, privacy-first, proton, scummvm, steam, wine, game-archiving
has_wikiyes
homepagehttps://luducat.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

25Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes

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.

16Critical · 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
0/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
0/45Type-checkable code — Python without a type-check config
51.7/55Manageable file sizes — 14/235 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes221,906
source_files_sampled235
oversized_source_files14
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files

Key facts

17GitHub stars
-contributors
10commits, last 12 months
30days since last push
10releases
-bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Contributor list unavailable
  • Could not fetch pypi package 'luducat' from its registry
  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard did not return a usable result (2026/07/24 11:24:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIPySide6>=6.5.0pyproject.toml
PyPISQLAlchemy>=2.0.0pyproject.toml
PyPIplatformdirs>=3.0.0pyproject.toml
PyPItomli-w>=1.0.0pyproject.toml
PyPIkeyring>=24.0.0pyproject.toml
PyPIpackaging>=23.0pyproject.toml
PyPIaiohttp>=3.8.0pyproject.toml
PyPIrequests>=2.28.0pyproject.toml
PyPIbeautifulsoup4>=4.11.0pyproject.toml
PyPIoschmod>=0.3.12pyproject.toml
PyPIPillow>=10.0.0pyproject.toml
PyPISecretStorage>=3.3.0pyproject.toml
PyPIvdf>=3.4pyproject.toml
PyPIbrowser_cookie3@ git+https://github.com/luducat/browser_cookie3.git@fix-firefox-wal-copypyproject.toml
PyPIcryptography>=41.0.0pyproject.toml
PyPIpsutil>=5.9.0pyproject.toml
PyPIpillow-heif>=0.16.0pyproject.toml
PyPIpython-dateutil>=2.8.0pyproject.toml
PyPIorjson>=3.9.0pyproject.toml
PyPIurllib3>=1.26.0pyproject.toml
PyPIalembic>=1.12.0pyproject.toml
All dependencies 21

Full resolved dependency set from the GitHub dependency graph: 21 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttpdirect
PyPIalembicdirect
PyPIbeautifulsoup4direct
PyPIbrowser-cookie3direct
PyPIcryptographydirect
PyPIkeyringdirect
PyPIorjsondirect
PyPIoschmoddirect
PyPIpackagingdirect
PyPIpillowdirect
PyPIpillow-heifdirect
PyPIplatformdirsdirect
PyPIpsutildirect
PyPIpyside6direct
PyPIpython-dateutildirect
PyPIrequestsdirect
PyPIsecretstoragedirect
PyPIsqlalchemydirect
PyPItomli-wdirect
PyPIurllib3direct
PyPIvdfdirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable
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        "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": "critical",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 6,
            "inputs": {
              "has_nix": false,
              "has_tests": false,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "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": 0,
                "status": "missed",
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "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": 52,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 221906,
              "source_files_sampled": 235,
              "oversized_source_files": 14
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "14/235 source files over 60KB",
                "points": 51.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 235,
                      "oversized": 14
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "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",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "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",
    "Contributor list unavailable",
    "Could not fetch pypi package 'luducat' from its registry",
    "No resolved dependencies carried a version and a supported ecosystem",
    "OpenSSF Scorecard did not return a usable result (2026/07/24 11:24:51 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": "2026-07-24T11:25:38.684753Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/luducat/luducat.svg",
  "full_name": "luducat/luducat",
  "license_state": "custom",
  "license_spdx": null
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

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