Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-30 08:16 UTC

DigitalKin-ai / digitalkin

PythonCustom license★ 4 stars⑂ 0 forkssince Feb 2025View on GitHub ↗
KindLibraryNetwork servicehow this is determined
#agentic-ai#agentic-framework#digitalkin#python#sdk#agentic-mesh

DigitalKin-ai/digitalkin holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (33/100). It was last updated today. 2 contributors account for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

DigitalKinOrganization · verified domain
21 followers9 public repossince Aug 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdigitalkin1.0.32,79416028 days agoagentdigitalkingrpckinsdk

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

78Good
How it's scored
36/36Push recency — last push 0 days ago
17.3/36Commit cadence — 25/52 weeks with commits
18/18Commit volume — 111 commits in the last year
7/10OpenSSF Scorecard: Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year111
human_commit_share1
days_since_last_push0
active_weeks_last_year25

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 61 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~2.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count61
latest_release_tagv1.0.5.dev2
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.4
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?

33At Risk · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars4
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

44Weak
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

58Moderate
How it's scored
46/80Monthly downloads — 2,794 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdigitalkin
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,794
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?

74Good · 23% of overall

Maintainer resilience (bus factor)

49Weak
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.9/22.5Commit distribution — top contributor authored 38% of commits
6.8/13.5Contributor breadth — 5 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled5
top_contributor_share0.382

Issue & PR responsiveness

84Excellent
How it's scored
35/42Issue resolution — 83% of issues closed
26.1/30PR acceptance — 147/169 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 15/17 approved changesets -- score normalized to 8
Inputs used
merged_prs147
open_issues8
closed_issues40
prs_merged_7d0
prs_decided_7d0
prs_merged_30d6
prs_decided_30d12
issue_closed_ratio0.833
closed_unmerged_prs22
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

73Good
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
9.7/25Owner reach — 21 followers of DigitalKin-ai
13.5/25Track record — 9 public repos, account ~3 yr old
Inputs used
followers21
owner_typeOrganization
is_verifiedyes
owner_loginDigitalKin-ai
public_repos9
account_age_days1,133

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 28 days ago
20/20Version history — 160 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdigitalkin
ecosystemspypi
any_deprecatedno
min_days_since_publish28

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://digitalkin-ai.github.io/digitalkin/main
0/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsagentic-ai, agentic-framework, digitalkin, python, sdk, agentic-mesh
has_wikiyes
homepagehttps://digitalkin-ai.github.io/digitalkin/main
docs_sitehttps://digitalkin-ai.github.io/digitalkin/main
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

55Moderate · 16% of overall

Security posture

44Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 17 out of 17 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
6/7.5Code-Review — Found 15/17 approved changesets -- score normalized to 8
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
5.2/7.5Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 53 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.4
Excluded from scoring (no data or not applicable): Branch-Protection, 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages61
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:digitalkin@1.0.3 runtime dependency closure — what installing the published package pulls in — 61 packages. 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

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes13,963

Verify loop (build / test / typecheck)

72Good
How it's scored
18/18One-command bootstrap — taskfile.yaml
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/digitalkin/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
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filestaskfile.yaml
has_devcontainerno
has_linter_configyes
typecheck_configssrc/digitalkin/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/digitalkin/py.typed)
54.7/55Manageable file sizes — 2/432 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes80,583
source_files_sampled432
oversized_source_files2

Machine-readable interfaces

80Excellent
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — examples/base_server/mock/mock.proto
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesexamples/base_server/mock/mock.proto
interfaces_expected_ofnetwork-service

Key facts

4GitHub stars
5contributors
111commits, last 12 months
0days since last push
61releases
2bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-09-30 08:16 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
10CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 15/17 approved changesets -- score normalized to 8
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
7Maintained9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities53 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIag-ui-protocol==0.1.21.dev1787220377pyproject.toml
PyPIagentic-mesh-protocol==1.0.1pyproject.toml
PyPIagno>=2.8.0,<3pyproject.toml
PyPIanyio>=4.13.0pyproject.toml
PyPIgrpcio-health-checking==1.82.1pyproject.toml
PyPIgrpcio-reflection==1.82.1pyproject.toml
PyPIgrpcio-status==1.82.1pyproject.toml
PyPIpydantic-settings>=2.14.1pyproject.toml
PyPIpydantic>=2.12.4pyproject.toml
PyPIredis>=7.4.0,<9pyproject.toml
All dependencies 199

Full resolved dependency set from the GitHub dependency graph: 10 direct and 189 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 0

Installing pypi:digitalkin@1.0.3 pulls in 61 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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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.