Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-17 07:42 UTC

CyberSource / cybersource-sdk-dotnet

.Net SDK for the CyberSource Simple Order API

C#Custom license★ 37 stars⑂ 54 forkssince Dec 2014View on GitHub ↗

CyberSource/cybersource-sdk-dotnet holds a health index of 50 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (73/100) and lowest on Engineering Quality (21/100). It was last updated today. 3 contributors account for most of its recent work.

50
overall / 100
Moderate

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.

50
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 50 is calibrated to 50 on the published index scale (record calibration 2026-08-02).

Ownership

CybersourceOrganization
239 followers41 public repossince Apr 2013

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?

66Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
3.5/36Commit cadence5/52 weeks with commits
8.6/18Commit volume8 commits in the last year
6/10OpenSSF Scorecard: Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year8
human_commit_share1
days_since_last_push0
active_weeks_last_year5
How it's scored
27/27Ships releases13 releases published
36/36Release recencylatest release 0 days ago
12.6/27Release cadencea release every ~330.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count13
latest_release_tagcybersource-sdk-dotnet-1.4.11
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases330.2
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?

45Weak · 17% of overall
How it's scored
25.2/60Stars37 stars
14.4/25Forks54 forks
6.8/15Watchers18 watchers
Inputs used
forks54
stars37
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense 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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

73Good · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
18.3/22.5Commit distributiontop contributor authored 19% of commits
13.5/13.5Contributor breadth16 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor3
contributors_sampled16
top_contributor_share0.188
How it's scored
24/42Issue resolution57% of issues closed
24.4/30PR acceptance52/64 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 5/9 approved changesets -- score normalized to 5
Inputs used
merged_prs52
open_issues6
closed_issues8
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.571
closed_unmerged_prs12
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
17.1/25Owner reach239 followers of CyberSource
23.8/25Track record41 public repos, account ~13 yr old
Inputs used
followers239
owner_typeOrganization
is_verified
owner_loginCyberSource
public_repos41
account_age_days4,878
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

21At 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-Tests0 out of 8 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics15 topics
0/10Wiki
Inputs used
topicscybersource, cybersource-sdk-dotnet, cybersource-api, cybersource-services, visa, merchants, payment, payments, payment-gateway, payment-integration, payment-processing, payment-module, payment-service, payment-methods, payment-request
has_wikino
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?

42Weak · 16% of overall
How it's scored
6.8/7.5Binary-Artifactsbinaries present in source code
4.5/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Tests0 out of 8 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 5/9 approved changesets -- score normalized to 5
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflowno data
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
4.5/7.5Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
0/5Packagingno data
0/5Pinned-Dependenciesno data
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsno data
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

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.

35Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
14.9/40Legible commit history28 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.28
agent_instruction_files
agent_instruction_max_bytes
How it's scored
12.6/18One-command bootstrapCyberSource/Base/CyberSourceBase.csproj, CyberSource/Client/CyberSourceClients.csproj, CyberSourceSamples/src/nvp/NVPSample.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
0/8Automated maintenanceno automated dependency updates observed
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_manifestsCyberSource/Base/CyberSourceBase.csproj, CyberSource/Client/CyberSourceClients.csproj, CyberSourceSamples/src/nvp/NVPSample.csproj, CyberSourceSamples/src/scmp/SCMPSample.csproj, CyberSourceSamples/src/soap/SoapSample.csproj, CyberSourceSamples/src/xml/XmlSample.csproj, CyberSourceTests/BaseTest/BaseTest.csproj, CyberSourceTests/MTTest/MTTest.csproj
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
45/45Type-checkable codeC# (statically typed)
51.7/55Manageable file sizes2/33 source files over 60KB
Inputs used
primary_languageC#
largest_source_bytes2,068,963
source_files_sampled33
oversized_source_files2

Key facts

37GitHub stars
16contributors
8commits, last 12 months
0days since last push
13releases
3bus factor
6open issues
package ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 54 ⇿
0Stars
54Forks
12Releases

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.

010203040505022014-122020-062025-12
Major 1Minor 0Patch 0

Each point covers 11 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-08-17 07:42 UTC

9Binary-Artifactsbinaries present in source code
6Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 8 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 5/9 approved changesets -- score normalized to 5
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

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

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

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 v0.31.0 — full methodology · metrics wiki.

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