Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 07:56 UTC

sireto / custom-domain

Self-hosted custom domains for multi-tenant SaaS: customers bring their own hostnames, get exact DNS records and automatic HTTPS (Caddy on-demand TLS), and every request reaches your app with a signed workspace assertion. API, Python SDK, webhooks, operator portal.

PythonApache-2.0★ 20 stars⑂ 4 forkssince Apr 2023View on GitHub ↗
KindNetwork serviceLibraryCommand-line toolMCP serverhow this is determined

sireto/custom-domain holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (59/100). It was last updated today. A single contributor accounts for most of its recent work.

87
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

87
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe 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.

The weighted overall 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Sireto I/OOrganization · verified domain
15 followers16 public repossince Oct 2017

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

Package ecosystems

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
2.1/36Commit cadence — 3/52 weeks with commits
18/18Commit volume — 141 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year141
human_commit_share1
days_since_last_push0
active_weeks_last_year3

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tag0.11.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.5
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?

59Moderate · 17% of overall
How it's scored
20.7/60Stars — 20 stars
4/25Forks — 4 forks
0/15Watchers — 0 watchers
Inputs used
forks4
stars20
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes
How it's scored
52.4/80Monthly downloads — 8,563 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescustom-domain-sdk, custom-domain-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads8,563
unverified_packages_excluded—
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?

70Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.7/22.5Commit distribution — top contributor authored 61% of commits
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.614
How it's scored
34/42Issue resolution — 81% of issues closed
30/30PR acceptance — 58/58 decided PRs merged
13/13Newcomer PR acceptance — 58/58 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 13/14 approved changesets -- score normalized to 9
Inputs used
merged_prs58
open_issues4
closed_issues17
prs_merged_7d19
prs_decided_7d19
prs_merged_30d58
prs_decided_30d58
issue_closed_ratio0.81
closed_unmerged_prs0
first_time_authors_30d2
first_time_prs_merged_30d58
first_time_prs_decided_30d58
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
8.7/25Owner reach — 15 followers of sireto
21/25Track record — 16 public repos, account ~9 yr old
Inputs used
followers15
owner_typeOrganization
is_verifiedyes
owner_loginsireto
public_repos16
account_age_days3,290

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 12 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescustom-domain-sdk, custom-domain-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://customdomainapi.com
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicscustom-domain, saas, acme, caddy, cname, custom-domains, dns, docker, fastapi, https, letsencrypt, multi-tenancy, multi-tenant, on-demand-tls, python, reverse-proxy, self-hosted, tls, webhooks, white-label
has_wikino
homepagehttps://customdomainapi.com
docs_sitehttps://customdomainapi.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 13/14 approved changesets -- score normalized to 9
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
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_packages82
unassessed_packages4
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 82 resolved dependencies against OSV. 4 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? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

79Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://customdomainapi.com/llms.txt)
40/40Legible commit history — 93 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://customdomainapi.com/llms.txt
legible_history_share0.93
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes11,659
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — sdk/custom_domain/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssdk/custom_domain/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (sdk/custom_domain/py.typed)
55/55Manageable file sizes — 0/143 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes56,049
source_files_sampled143
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — docs/openapi.json
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filesdocs/openapi.json
interfaces_expected_ofnetwork-service

Key facts

20GitHub stars
2contributors
141commits, last 12 months
0days since last push
11releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'custom-domain' from its registry
  • deps.dev does not index pypi:custom-domain-sdk@0.11.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 4 ⇿
0Stars
4Forks

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.

1223344412023-122025-012026-02

Each point covers 2 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-10-10 07:56 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 13/14 approved changesets -- score normalized to 9
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPIcustom-domain-sdk>=0.10.0mcp-server/pyproject.toml
PyPImcp>=2.3,<3mcp-server/pyproject.toml
PyPIalembic>=1.20.0pyproject.toml
PyPIdnspython>=2.8.0pyproject.toml
PyPIfastapi>=0.141.1pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIidna>=3.20pyproject.toml
PyPIprometheus-client>=0.26.0pyproject.toml
PyPIpsycopg>=3.3.6pyproject.toml
PyPIpublicsuffixlist>=1.0.2.20260925pyproject.toml
PyPIpython-dotenv>=1.2.3pyproject.toml
PyPIrequests>=2.34.2pyproject.toml
PyPIsqlalchemy>=2.0pyproject.toml
PyPIuvicorn>=0.54.0pyproject.toml
PyPIvalidators>=0.35.0pyproject.toml
PyPIhttpx>=0.27sdk/pyproject.toml
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 18 direct and 68 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalembic1.20.0direct
PyPIcustom-domain-sdk—direct
PyPIcustom-domain-sdk0.11.0direct
PyPIdnspython2.8.0direct
PyPIfastapi0.141.1direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIidna3.20direct
PyPImcp—direct
PyPImcp2.3.0direct
PyPIprometheus-client0.26.0direct
PyPIpsycopg3.3.6direct
PyPIpublicsuffixlist1.0.2.20260925direct
PyPIpython-dotenv1.2.3direct
PyPIrequests2.34.2direct
PyPIsqlalchemy2.1.0direct
PyPIuvicorn0.54.0direct
PyPIvalidators0.35.0direct
PyPIagent-detector2.0.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.2indirect
PyPIcustom-domain0.11.0indirect
PyPIcustom-domain-mcp0.11.0indirect
PyPIdetect-installer0.2.1indirect
PyPIemail-validator2.3.0indirect
PyPIfastapi-cli0.0.32indirect
PyPIfastapi-cloud-cli0.26.0indirect
PyPIfastar0.12.0indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.13.1indirect
PyPIhttptools0.8.0indirect
PyPIhttpx22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImako1.4.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp-types2.3.0indirect
PyPImdurl0.1.2indirect
PyPIopentelemetry-api1.45.1indirect
PyPIpackaging26.3indirect
PyPIpluggy1.6.0indirect
PyPIpsycopg-binary3.3.6indirect
PyPIpycparser3.11indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.15.1indirect
PyPIpytest9.1.1indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrich15.0.0indirect
PyPIrich-toolkit0.20.5indirect
PyPIrignore0.8.1indirect
PyPIrpds-py2026.9.1indirect
PyPIruff0.16.9indirect
PyPIsentry-sdk2.70.0indirect
PyPIshellingham1.5.4indirect
PyPIsse-starlette3.5.0indirect
PyPIstarlette1.7.0indirect
PyPItruststore0.10.4indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.4indirect
PyPIurllib32.8.0indirect
PyPIuvloop0.22.1indirect
PyPIwatchfiles1.3.0indirect
PyPIwebsockets17.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 82 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 4 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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