Public record
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-08-02 03:25 UTC

hoonseokyoon / monoid-agent-kernel

Embeddable agent kernel for durable, provider-neutral LLM agents with permissions, pluggable tools, observability, and subagents.

PythonApache-2.0★ 1 star⑂ 0 forkssince Jun 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

hoonseokyoon/monoid-agent-kernel holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (75/100) and lowest on Community & Adoption (40/100). It was last updated today. A single contributor accounts for most of its recent work.

65
overall / 100
Good

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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

Hoonseok YoonPersonal account
4 followers11 public repossince Sep 2022Catholic University, School of Medicine

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImonoid-agent-kernel0.20.1-90 days agoagentaikernelllmmcpobservabilityruntimetools

Metrics by category

Vitality

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

75Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
4.8/36Commit cadence7/52 weeks with commits
18/18Commit volume734 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year734
human_commit_share1
days_since_last_push0
active_weeks_last_year7

Release discipline

100Exceptional
How it's scored
27/27Ships releases15 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~3.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count15
latest_release_tagv0.20.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.1
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?

40Weak · 17% of overall
How it's scored
0/60Stars1 stars
0/25Forks0 forks
0/15Watchers0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

54Moderate · 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
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
42/42Issue resolution100% of issues closed
29.3/30PR acceptance86/88 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/11 approved changesets -- score normalized to 0
Inputs used
merged_prs86
open_issues0
closed_issues3
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio1
closed_unmerged_prs2
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
5/25Owner reach4 followers of hoonseokyoon
15.5/25Track record11 public repos, account ~3 yr old
Inputs used
followers4
owner_typeUser
is_verified
owner_loginhoonseokyoon
public_repos11
account_age_days1,402
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history9 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmonoid-agent-kernel
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics12 topics
10/10Wiki
Inputs used
topicsagent-framework, agent-runtime, agentic-ai, ai-agents, durable-execution, llm, model-context-protocol, multi-agent, observability, permissions, python, tools
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.5/2.5CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/11 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject was created within the last 90 days. Please review its contents carefully
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.1
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 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
advisories1
affected_packages1
assessed_packages97
unassessed_packages16
affected_by_severityhigh 1
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 97 resolved dependencies against OSV. 16 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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history97 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.97
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checkingsrc/monoid_agent_kernel/py.typed, src/native_agent_runner/py.typed, studio-ui/tsconfig.json
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice52 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configssrc/monoid_agent_kernel/py.typed, src/native_agent_runner/py.typed, studio-ui/tsconfig.json
agent_commit_share0.52
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/monoid_agent_kernel/py.typed, src/native_agent_runner/py.typed, studio-ui/tsconfig.json)
53.4/55Manageable file sizes11/388 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes253,847
source_files_sampled388
oversized_source_files11
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

1GitHub stars
1contributors
734commits, last 12 months
0days since last push
15releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:monoid-agent-kernel@0.20.1; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-08-02 03:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/11 approved changesets -- score normalized to 0
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
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
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
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIclick>=8.1pyproject.toml
PyPIjsonschema>=4.21pyproject.toml
PyPIpathspec>=1.1,<2pyproject.toml
PyPIpydantic>=2.6pyproject.toml
All dependencies 113

Full resolved dependency set from the GitHub dependency graph: 4 direct and 109 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclickdirect
PyPIjsonschemadirect
PyPIpathspecdirect
PyPIpydanticdirect
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npm@emnapi/runtime1.11.1indirect
npm@emnapi/wasi-threads1.2.2indirect
npm@jridgewell/gen-mapping0.3.13indirect
npm@jridgewell/remapping2.3.5indirect
npm@jridgewell/resolve-uri3.1.2indirect
npm@jridgewell/sourcemap-codec1.5.5indirect
npm@jridgewell/trace-mapping0.3.31indirect
npm@napi-rs/wasm-runtime1.1.6indirect
npm@oxc-project/types0.139.0indirect
npm@rolldown/binding-android-arm641.1.5indirect
npm@rolldown/binding-darwin-arm641.1.5indirect
npm@rolldown/binding-darwin-x641.1.5indirect
npm@rolldown/binding-freebsd-x641.1.5indirect
npm@rolldown/binding-linux-arm-gnueabihf1.1.5indirect
npm@rolldown/binding-linux-arm64-gnu1.1.5indirect
npm@rolldown/binding-linux-arm64-musl1.1.5indirect
npm@rolldown/binding-linux-ppc64-gnu1.1.5indirect
npm@rolldown/binding-linux-s390x-gnu1.1.5indirect
npm@rolldown/binding-linux-x64-gnu1.1.5indirect
npm@rolldown/binding-linux-x64-musl1.1.5indirect
npm@rolldown/binding-openharmony-arm641.1.5indirect
npm@rolldown/binding-wasm32-wasi1.1.5indirect
npm@rolldown/binding-win32-arm64-msvc1.1.5indirect
npm@rolldown/binding-win32-x64-msvc1.1.5indirect
npm@rolldown/pluginutils1.0.1indirect
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npm@tailwindcss/oxide-linux-arm64-musl4.3.2indirect
npm@tailwindcss/oxide-linux-x64-gnu4.3.2indirect
npm@tailwindcss/oxide-linux-x64-musl4.3.2indirect
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npmtapable2.3.3indirect
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npmtslib2.8.1indirect
npmtypescript5.9.3indirect
npmvite8.1.4indirect
npmvitefu1.1.3indirect
npmzimmerframe1.1.4indirect
PyPIdbosindirect
PyPIhatchlingindirect
PyPIhttpxindirect
PyPIhypothesisindirect
PyPIopenaiindirect
PyPIopentelemetry-apiindirect
PyPIopentelemetry-exporter-otlp-proto-httpindirect
PyPIopentelemetry-sdkindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-timeoutindirect
PyPIpytest-xdistindirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 97 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 16 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
postcss8.5.17indirecthigh18.5.18

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 v0.27.0 — full methodology · metrics wiki.

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