Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 14:02 UTC

ZatomicAI / Zatomic.AI.Providers

.NET SDK for integrating with various AI model providers.

C#MIT★ 4 stars⑂ 0 forkssince May 2025View on GitHub ↗

ZatomicAI/Zatomic.AI.Providers holds a health index of 48 out of 100, placing it in the Weak band. It scores highest on Vitality (91/100) and lowest on Engineering Quality (25/100). It was last updated today. A single contributor accounts for most of its recent work.

48
overall / 100
Weak

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.

48
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 49 is calibrated to 48 on the published index scale (record calibration 2026-08-02).

Ownership

Zatomic AIOrganization
1 follower1 public reposince Jul 2024

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?

91Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
22.8/36Commit cadence33/52 weeks with commits
17.4/18Commit volume85 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year85
human_commit_share0.97
days_since_last_push0
active_weeks_last_year33

Release discipline

100Exceptional
How it's scored
27/27Ships releases50 releases published
36/36Release recencylatest release 2 days ago
27/27Release cadencea release every ~25.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count50
latest_release_tagv5.5.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases25.5

Community & Adoption

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

35Weak · 17% of overall
How it's scored
7.7/60Stars4 stars
0/25Forks0 forks
0/15Watchers1 watchers
Inputs used
forks0
stars4
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
47.1/80Total downloads34,145 downloads all-time across nuget
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesZatomic.AI.Providers
dependents
ecosystemsnuget
total_downloads34,145
monthly_downloads
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?

42Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0/22.5Commit distributiontop contributor authored 100% of commits
1.4/13.5Contributor breadth1 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolutionno issues or no data
9.8/30PR acceptance52/159 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs52
open_issues0
closed_issues0
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio
closed_unmerged_prs107
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
2.2/25Owner reach1 followers of ZatomicAI
6.6/25Track record1 public repos, account ~2 yr old
Inputs used
followers1
owner_typeOrganization
is_verifiedno
owner_loginZatomicAI
public_repos1
account_age_days799

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on nuget
35/35Publish recencylatest publish 2 days ago
20/20Version history6 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesZatomic.AI.Providers
ecosystemsnuget
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

25At Risk · 19% 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-Testsno data
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics20 topics
10/10Wiki
Inputs used
topicsai21labs, amazon-bedrock, anthropic, cohere, deepinfra, fireworksai, google-gemini, meta, mistral, openai, togetherai, xai, hugging-face, hyperbolic, groq, perplexity, moonshot-ai, azure, nvidia, ibm-watson
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfilesno dependency manifests — not applicable
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifests
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages8
unassessed_packages0
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 8 resolved dependencies against OSV. 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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://docs.ai21.com/llms.txt)
8.2/40Legible commit history15 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.ai21.com/llms.txt
legible_history_share0.155
agent_instruction_files
agent_instruction_max_bytes
How it's scored
12.6/18One-command bootstrapsrc/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj, src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj (toolchain convention, no task runner)
0/22Automated tests
0/11Lint / format config
11/11Static type checkingC# (statically typed)
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance3 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsno
lockfiles
has_dockerfileno
typed_languageyes
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifestssrc/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj, src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj
dependency_bot_commit_share0.03
How it's scored
45/45Type-checkable codeC# (statically typed)
55/55Manageable file sizes0/508 source files over 60KB
Inputs used
primary_languageC#
largest_source_bytes6,651
source_files_sampled508
oversized_source_files0

Key facts

4GitHub stars
1contributors
85commits, last 12 months
0days since last push
50releases
1bus factor
0open issues
package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/ZatomicAI/Zatomic.AI.Providers: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-09-15T14:02:30Z. Please include `DB56:20415A:A6185DD:A201D7E:6AA94FF4` when reporting this issue.); skipping Scorecard checks

More detail

Direct dependencies 8
RegistryPackageVersion constraintManifest
NuGetMicrosoft.Extensions.Configuration.Json10.0.12src/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj
NuGetMicrosoft.NET.Test.Sdk18.10.1src/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj
NuGetNUnit4.6.1src/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj
NuGetNUnit3TestAdapter6.3.0src/Zatomic.AI.Providers.Samples/Zatomic.AI.Providers.Samples.csproj
NuGetAWSSDK.Bedrock4.0.102.2src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj
NuGetAWSSDK.BedrockRuntime4.0.101.7src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj
NuGetMicrosoft.Extensions.Configuration10.0.12src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj
NuGetNewtonsoft.Json13.0.4src/Zatomic.AI.Providers/Zatomic.AI.Providers.csproj
All dependencies 8

Full resolved dependency set from the GitHub dependency graph: 8 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
NuGetAWSSDK.Bedrock4.0.102.2direct
NuGetAWSSDK.BedrockRuntime4.0.101.7direct
NuGetMicrosoft.Extensions.Configuration10.0.12direct
NuGetMicrosoft.Extensions.Configuration.Json10.0.12direct
NuGetMicrosoft.NET.Test.Sdk18.10.1direct
NuGetNewtonsoft.Json13.0.4direct
NuGetNUnit4.6.1direct
NuGetNUnit3TestAdapter6.3.0direct
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 8 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 statisticsNuGet.