Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 10:45 UTC

shcherbak-ai / contextgem

ContextGem: Effortless LLM extraction from documents

Python · Jupyter NotebookApache-2.0★ 2,003 stars⑂ 186 forkssince Oct 2024View on GitHub ↗
KindLibraryhow this is determined
#ai#contract-analysis#data-extraction#document-intelligence#generative-ai#legaltech#llm#llm-extraction#llm-framework#llm-pipeline#llms#nlp#prompt-engineering#text-analysis#unstructured-data#autoprompting

shcherbak-ai/contextgem holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (88/100) and lowest on Security (48/100). It was last updated 37 days ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Shcherbak AIOrganization
30 followers6 public repossince Jun 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcontextgem0.27.011,0285137 days agoartificial-intelligenceaspect-extractionautomated-promptingconcept-extractioncontent-extractioncontext-awarecontextgemcontract-analysiscontract-automationcontract-intelligencecontract-managementcontract-parsingcontract-reviewdata-extractiondocumentdocument-analysisdocument-extractiondocument-intelligencedocument-parsingdocument-pipelinedocument-processingdocument-qadocument-understandingentity-extractionextraction-justificationsextraction-pipelinefintechgenerative-aiinformation-extractioninsights-extractionknowledge-extractionlarge-language-modelslegaltechllmllm-extractionllm-frameworkllm-libraryllm-reasoninglow-codemachine-learningmultilingualmultimodalneural-segmentationnlpno-prompt-engineeringprompt-freequestion-answeringreference-mappingsemantic-analysisstructured-datastructured-data-extractiontext-analysistext-processingtopic-extractionunstructured-datazero-shot

Metrics by category

Vitality

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

69Good · 21% of overall

Development activity

49Weak
How it's scored
18/36Push recency — last push 37 days ago
6.2/36Commit cadence — 9/52 weeks with commits
15.1/18Commit volume — 47 commits in the last year
10/10OpenSSF Scorecard: Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year47
human_commit_share1
days_since_last_push37
active_weeks_last_year9

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 51 releases published
36/36Release recency — latest release 37 days ago
27/27Release cadence — a release every ~26.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count51
latest_release_tagv0.27.0
releases_from_tagsno
days_since_latest_release37
mean_days_between_releases26.4
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?

81Excellent · 17% of overall

Popularity & adoption

79Good
How it's scored
53.6/60Stars — 2,003 stars
18.9/25Forks — 186 forks
6.7/15Watchers — 17 watchers
Inputs used
forks186
stars2,003
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges27
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io, www.bestpractices.dev
has_pull_request_templateyes

Ecosystem adoption (downloads)

67Good
How it's scored
53.9/80Monthly downloads — 11,028 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescontextgem
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,028
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

18Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.4/22.5Commit distribution — top contributor authored 98% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.981

Issue & PR responsiveness

78Good
How it's scored
39.6/42Issue resolution — 94% of issues closed
28.6/30PR acceptance — 61/64 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/24 approved changesets -- score normalized to 0
Inputs used
merged_prs61
open_issues1
closed_issues17
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.944
closed_unmerged_prs3
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.

Ownership & stewardship

51Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.7/25Owner reach — 30 followers of shcherbak-ai
10.7/25Track record — 6 public repos, account ~2 yr old
Inputs used
followers30
owner_typeOrganization
is_verifiedno
owner_loginshcherbak-ai
public_repos6
account_age_days824

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 37 days ago
20/20Version history — 51 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescontextgem
ecosystemspypi
any_deprecatedno
min_days_since_publish37

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

86Excellent
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 4 out of 6 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://contextgem.dev/
10/10Repository description
10/10Topics — 16 topics
0/10Wiki
Inputs used
topicsai, contract-analysis, data-extraction, document-intelligence, generative-ai, legaltech, llm, llm-extraction, llm-framework, llm-pipeline, llms, nlp, prompt-engineering, text-analysis, unstructured-data, autoprompting
has_wikino
homepagehttps://contextgem.dev/
docs_sitehttps://contextgem.dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall

Security posture

43Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
1.5/2.5CI-Tests — 4 out of 6 merged PRs checked by a CI test -- score normalized to 6
1.2/2.5CII-Best-Practices — badge detected: Passing
0/7.5Code-Review — Found 2/24 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 22 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

67Good
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pillow 11.3.0 (critical 9.1)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
32.6/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 220 days ago
Inputs used
sourceosv
advisories36
affected_packages1
assessed_packages67
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages1
Matched the pypi:contextgem@0.27.0 runtime dependency closure — what installing the published package pulls in — 67 packages. 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.

76Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 97 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_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes6,687

Verify loop (build / test / typecheck)

69Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.2/55Manageable file sizes — 3/197 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes361,064
source_files_sampled197
oversized_source_files3

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

2,003GitHub stars
4contributors
47commits, last 12 months
37days since last push
51releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 186 ⇿
0Stars
186Forks
50Releases

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.

04080120160200186152025-042025-122026-09
Major 0Minor 26Patch 23

Each point covers 2 days.

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-09-20 10:45 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
6CI-Tests4 out of 6 merged PRs checked by a CI test -- score normalized to 6
5CII-Best-Practicesbadge detected: Passing
0Code-ReviewFound 2/24 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
8SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities22 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
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PyPIcolorlog(>=6.9.0,<7.0.0)pyproject.toml
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PyPIonnxruntime(<1.24.0)pyproject.toml
PyPIonnxruntime(>=1.24.0)pyproject.toml
All dependencies 168

Full resolved dependency set from the GitHub dependency graph: 18 direct and 150 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 1

Installing pypi:contextgem@0.27.0 pulls in 67 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.3.0directcritical3612.3.0

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

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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.