Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-13 18:39 UTC

phantomcyber / splunk-soar-sdk

Splunk SOAR SDK - the official tool for Splunk SOAR app development

PythonApache-2.0★ 10 stars⑂ 4 forkssince Oct 2024View on GitHub ↗
KindCommand-line toolLibraryMCP serverhow this is determined
#app#cisco#connector#phantom#sdk#soar#splunk

phantomcyber/splunk-soar-sdk holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (44/100). It was last updated today. 2 contributors account 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

Splunk SOAR (Phantom)Organization
99 followers27 public repossince Mar 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsplunk-soar-sdk6.1.43,6041720 days agoappciscoconnectorphantomsdksoarsplunk

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 0 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 406 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year406
human_commit_share0.94
days_since_last_push0
active_weeks_last_year41

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tag6.1.4
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.1

Community & Adoption

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

44Weak · 17% of overall

Popularity & adoption

24At Risk
How it's scored
15.5/60Stars — 10 stars
4/25Forks — 4 forks
4.3/15Watchers — 7 watchers
Inputs used
forks4
stars10
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.4/80Monthly downloads — 3,604 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessplunk-soar-sdk
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,604
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.5/22.5Commit distribution — top contributor authored 31% of commits
12.2/13.5Contributor breadth — 9 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled9
top_contributor_share0.309

Issue & PR responsiveness

69Good
How it's scored
35/42Issue resolution — 83% of issues closed
28/30PR acceptance — 242/259 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 9/19 approved changesets -- score normalized to 4
Inputs used
merged_prs242
open_issues2
closed_issues10
prs_merged_7d1
prs_decided_7d3
prs_merged_30d11
prs_decided_30d14
issue_closed_ratio0.833
closed_unmerged_prs17
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

67Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.4/25Owner reach — 99 followers of phantomcyber
22.5/25Track record — 27 public repos, account ~11 yr old
Inputs used
followers99
owner_typeOrganization
is_verifiedno
owner_loginphantomcyber
public_repos27
account_age_days4,214

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 172 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessplunk-soar-sdk
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 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 — 10 out of 10 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/splunk-soar-sdk/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsapp, cisco, connector, phantom, sdk, soar, splunk
has_wikiyes
homepagehttps://pypi.org/project/splunk-soar-sdk/
docs_sitehttps://pypi.org/project/splunk-soar-sdk/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 16% of overall

Security posture

48Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 10 out of 10 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
3/7.5Code-Review — Found 9/19 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 7 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 28 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

Dependency advisories

66Good
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pyjwt 2.13.0 (critical 9.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories79
affected_packages11
assessed_packages259
unassessed_packages0
affected_by_severitycritical 4, high 4, moderate 3
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 259 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.

72Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://phantomcyber.github.io/splunk-soar-sdk/llms.txt)
40/40Legible commit history — 94 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://phantomcyber.github.io/splunk-soar-sdk/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes2,169

Verify loop (build / test / typecheck)

62Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/soar_sdk/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/soar_sdk/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.04

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/soar_sdk/py.typed)
54.8/55Manageable file sizes — 1/229 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes169,249
source_files_sampled229
oversized_source_files1

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

10GitHub stars
9contributors
406commits, last 12 months
0days since last push
100releases
2bus factor
2open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'soar-test-assistant' from its registry
  • deps.dev does not index pypi:splunk-soar-sdk@6.1.4; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 4 ⇿
0Stars
4Forks
52Releases

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.

1223344412025-112026-032026-07
Major 0Minor 24Patch 28
OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-10-13 18:38 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 9/19 approved changesets -- score normalized to 4
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities28 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPImcp>=1.28.1,<2.0.0mcp_server/pyproject.toml
PyPIsplunk-soar-sdk>=3.0.0mcp_server/pyproject.toml
PyPItoml>=0.10.2, <1pyproject.toml
PyPItyper>=0.17.3, <0.18pyproject.toml
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PyPIpyjwt>=2.8.0pyproject.toml
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PyPIpip-licenses>=5.0.0pyproject.toml
All dependencies 259

Full resolved dependency set from the GitHub dependency graph: 46 direct and 213 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPItraitlets5.14.3indirect
PyPItrove-classifiers2025.12.1.14indirect
PyPItrove-classifiers2026.1.14.14indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPIty0.0.23indirect
PyPItyper-slim0.17.3indirect
PyPItypes-beautifulsoup44.12.0.20250204indirect
PyPItypes-html5lib1.1.11.20241018indirect
PyPItypes-requests2.32.0.20250328indirect
PyPItypes-toml0.10.8.20240310indirect
PyPItypes-tqdm4.67.0.20250417indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.13.2indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPItzlocal5.3.1indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.35.0indirect
PyPIuvicorn0.38.0indirect
PyPIvirtualenv20.30.0indirect
PyPIvirtualenv20.36.1indirect
PyPIvirtualenv20.38.0indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.0indirect
PyPIwcwidth0.2.13indirect
PyPIwcwidth0.6.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIwin-unicode-console0.5indirect
PyPIyarl1.22.0indirect
Dependency advisories 11

This repository publishes no package the index resolves, so its own dependency graph was assessed — 259 packages, which also include development and test pins that never ship: 11 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pyjwt2.13.0directcritical282.15.0
anyio4.11.0indirectcritical44.14.2
anyio4.12.0indirectcritical44.14.2
anyio4.12.1indirectcritical44.14.2
urllib32.7.0indirecthigh62.8.0
virtualenv20.30.0indirecthigh1021.7.13
virtualenv20.36.1indirecthigh821.7.13
virtualenv20.38.0indirecthigh821.7.13
filelock3.18.0indirectmoderate43.20.3
multidict6.7.0indirectmoderate16.9.1
pytest7.4.2indirectmoderate29.0.3

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.

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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.