Public record
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-07-24 18:41 UTC

icanbwell / language-model-common

Provides the underlying framework to enhance langchain and add loading configurations

PythonApache-2.0★ 0 stars⑂ 0 forkssince Mar 2026View on GitHub ↗
KindLibraryMCP serverNetwork servicehow this is determined

icanbwell/language-model-common holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (24/100). It was last updated today. A single contributor accounts for most of its recent work.

73
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.

73
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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

b.wellOrganization
39 followers84 public repossince Jun 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlanguage-model-common2.0.91-1250 days ago

Metrics by category

Vitality

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

85Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
11.1/36Commit cadence16/52 weeks with commits
18/18Commit volume454 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year454
human_commit_share0.99
days_since_last_push0
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~4.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tag2.0.91
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases4.8
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?

24At Risk · 17% of overall
How it's scored
0/60Stars0 stars
0/25Forks0 forks
0/15Watchers0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
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?

62Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.2/22.5Commit distributiontop contributor authored 99% of commits
4.1/13.5Contributor breadth3 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.993
How it's scored
0/42Issue resolutionno issues or no data
16.8/30PR acceptance28/50 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs28
open_issues0
closed_issues0
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio
closed_unmerged_prs22
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
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 domainverified-domain status not read for this organization
11.5/25Owner reach39 followers of icanbwell
25/25Track record84 public repos, account ~11 yr old
Inputs used
followers39
owner_typeOrganization
is_verified
owner_loginicanbwell
public_repos84
account_age_days4,057
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 history125 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslanguage-model-common
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests7 out of 7 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
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?

55Moderate · 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-Tests7 out of 7 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
7.5/7.5Code-Reviewall changesets reviewed
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities12 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
11.9/35Direct dependencies free of known advisories2 affected: mcp 1.27.2 (high), pypdf 6.13.2 (high 7.5)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories16
affected_packages6
assessed_packages190
unassessed_packages4
affected_by_severityhigh 4, moderate 2
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 190 resolved dependencies against OSV. 4 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.

77Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history81 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.818
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes30,436
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkinglanguagemodelcommon/py.typed
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configslanguagemodelcommon/py.typed
agent_commit_share0.08
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable codePython with type-check config (languagemodelcommon/py.typed)
55/55Manageable file sizes0/273 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes52,599
source_files_sampled273
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

0GitHub stars
3contributors
454commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:language-model-common@2.0.91; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-07-24 18:41 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
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
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0Vulnerabilities12 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
PyPIboto3>=1.40.21pyproject.toml
PyPIfastapi>=0.115.8pyproject.toml
PyPIhttpx>=0.27.2pyproject.toml
PyPIlangchain>=1.0.0pyproject.toml
PyPIlangchain-aws>=1.2.0pyproject.toml
PyPIlangchain-community>=0.4pyproject.toml
PyPIopenai>=2.5.0pyproject.toml
PyPIlangchain-openai>=1.1.6pyproject.toml
PyPIlanggraph>=1.0.0pyproject.toml
PyPIpydantic>=2.0,<3.0.0pyproject.toml
PyPImcp>=1.27.2pyproject.toml
PyPIlanggraph-checkpoint>=3.0.0pyproject.toml
PyPIlanggraph-checkpoint-mongodb>=0.3.1pyproject.toml
PyPIlanggraph-store-mongodb>=0.1.0pyproject.toml
PyPItiktoken>=0.12.0pyproject.toml
PyPIsimple-container>=1.0.2pyproject.toml
PyPIpypdf>=6.6.0pyproject.toml
PyPImarkdownify>=0.14.1pyproject.toml
PyPIbeautifulsoup4>=4.12.3pyproject.toml
PyPIoidcauthlib>=3.0.13pyproject.toml
PyPIfsspec>=2026.2.0pyproject.toml
PyPIauthlib>=1.6.5pyproject.toml
PyPIlangchain-google-genai>=4.1.3pyproject.toml
PyPIpy-key-value-aio>=0.4.4pyproject.toml
PyPIPyJWT>=2.8.0pyproject.toml
All dependencies 194

Full resolved dependency set from the GitHub dependency graph: 28 direct and 166 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIauthlib1.7.2direct
PyPIbeautifulsoup44.15.0direct
PyPIboto31.43.30direct
PyPIfastapi0.137.1direct
PyPIfsspec2026.6.0direct
PyPIhttpxdirect
PyPIhttpx0.28.1direct
PyPIlangchain1.3.9direct
PyPIlangchain-awsdirect
PyPIlangchain-aws1.5.1direct
PyPIlangchain-community0.4.2direct
PyPIlangchain-google-genai4.2.5direct
PyPIlangchain-openai1.3.2direct
PyPIlanggraph1.2.5direct
PyPIlanggraph-checkpoint4.1.1direct
PyPIlanggraph-checkpoint-mongodb0.4.0direct
PyPIlanggraph-store-mongodb0.3.0direct
PyPImarkdownify1.2.2direct
PyPImcp1.27.2direct
PyPIoidcauthlib3.0.16direct
PyPIopenai2.41.1direct
PyPIpy-key-value-aio0.4.5direct
PyPIpydantic2.13.4direct
PyPIpyjwtdirect
PyPIpyjwt2.13.0direct
PyPIpypdf6.13.2direct
PyPIsimple-container1.0.2direct
PyPItiktoken0.13.0direct
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.109.2indirect
PyPIanyio4.14.0indirect
PyPIast-serialize0.5.0indirect
PyPIattrs26.1.0indirect
PyPIautoflake2.3.3indirect
PyPIbandit1.9.4indirect
PyPIbeartype0.22.9indirect
PyPIblack26.5.1indirect
PyPIbotocore1.43.30indirect
PyPIbotocore-stubs1.43.14indirect
PyPIbuild1.5.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcramjam2.11.0indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.23indirect
PyPIfilelock3.29.4indirect
PyPIfiletype1.2.0indirect
PyPIfrozenlist1.8.0indirect
PyPIgoogle-auth2.55.0indirect
PyPIgoogle-genai2.8.0indirect
PyPIgreenlet3.5.1indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIhyperframe6.1.0indirect
PyPIid1.6.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjiter0.15.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.1indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlangchain-anthropic1.4.6indirect
PyPIlangchain-classic1.0.8indirect
PyPIlangchain-core1.4.7indirect
PyPIlangchain-mongodb0.11.0indirect
PyPIlangchain-protocol0.0.17indirect
PyPIlangchain-text-splitters1.1.2indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.8.16indirect
PyPIlark1.3.1indirect
PyPIlibrt0.11.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImotoindirect
PyPImoto5.2.2indirect
PyPImultidict6.7.1indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.5indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.6indirect
PyPIopentelemetry-api1.42.1indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpy-partiql-parser0.6.3indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.1indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpymongo4.16.0indirect
PyPIpymongo-search-utils0.3.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.0indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-httpx0.36.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-snappy0.7.3indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIredis8.0.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.5.9indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIresponses0.26.1indirect
PyPIrespx0.23.1indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruff0.15.17indirect
PyPIs3transfer0.18.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools82.0.1indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsqlalchemy2.0.51indirect
PyPIsse-starlette3.4.4indirect
PyPIstarlette1.3.1indirect
PyPIstevedore5.8.0indirect
PyPItenacity9.1.4indirect
PyPItqdm4.68.2indirect
PyPItwine6.2.0indirect
PyPItypes-authlib1.6.11.20260518indirect
PyPItypes-awscrt0.34.1indirect
PyPItypes-beautifulsoup44.12.0.20250516indirect
PyPItypes-boto31.43.30indirect
PyPItypes-boto3-bedrock1.43.26indirect
PyPItypes-boto3-bedrock-runtime1.43.30indirect
PyPItypes-boto3-s31.43.14indirect
PyPItypes-boto3-textract1.43.0indirect
PyPItypes-botocore1.0.2indirect
PyPItypes-html5lib1.1.11.20260518indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItypes-s3transfer0.16.0indirect
PyPItypes-webencodings0.5.0.20260408indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.1indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwheel0.47.0indirect
PyPIxmltodict1.0.4indirect
PyPIxxhash3.7.0indirect
PyPIyarl1.24.2indirect
PyPIzstandard0.25.0indirect
Dependency advisories 6

This repository publishes no package the index resolves, so its own dependency graph was assessed — 190 packages, which also include development and test pins that never ship: 6 carry known advisories, of which 2 are direct. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
mcp1.27.2directhigh21.28.1
pypdf6.13.2directhigh56.14.2
langsmith0.8.16indirecthigh10.8.18
pyasn10.6.3indirecthigh50.6.4
pydantic-settings2.14.1indirectmoderate12.14.2
setuptools82.0.1indirectmoderate283.0.0

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.