Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 00:08 UTC

bhargavamin / contexer

Contexer keeps the important engineering decisions behind your software current and available to every coding agent.

PythonCustom license★ 9 stars⑂ 0 forkssince Jun 2026View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined

bhargavamin/contexer holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Community & Adoption (51/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

77
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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

Bhargav AminPersonal account
17 followers3 public repossince May 2015

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
PyPIcontexer0.46.02,926762 days agoaiclaudecodexcontextcursordecisionsgeminillmmcp

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 963 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year963
human_commit_share0.92
days_since_last_push2
active_weeks_last_year15
How it's scored
27/27Ships releases — 71 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~0.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count71
latest_release_tagv0.46.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases0.9

Community & Adoption

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

51Moderate · 17% of overall
How it's scored
14.6/60Stars — 9 stars
0/25Forks — 0 forks
0/15Watchers — 2 watchers
Inputs used
forks0
stars9
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

86Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
46.2/80Monthly downloads — 2,926 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescontexer
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,926
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?

54Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.3/22.5Commit distribution — top contributor authored 76% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.765
How it's scored
35/42Issue resolution — 83% of issues closed
28.4/30PR acceptance — 255/269 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs255
open_issues4
closed_issues20
prs_merged_7d2
prs_decided_7d2
prs_merged_30d37
prs_decided_30d45
issue_closed_ratio0.833
closed_unmerged_prs14
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
9/25Owner reach — 17 followers of bhargavamin
16.4/25Track record — 3 public repos, account ~11 yr old
Inputs used
followers17
owner_typeUser
is_verified—
owner_loginbhargavamin
public_repos3
account_age_days4,144
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 76 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescontexer
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 9 out of 11 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://contexer.ai
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicsclaude, python, codex, cursor, gemini, decision, drift-detection, governance, guardrails, provenance
has_wikino
homepagehttps://contexer.ai
docs_sitehttps://contexer.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 9 out of 11 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/6 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages29
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:contexer@0.46.0 runtime dependency closure — what installing the published package pulls in — 29 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.

64Moderate · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://contexer.ai/llms.txt)
40/40Legible commit history — 88 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://contexer.ai/llms.txt
legible_history_share0.957
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes61,550
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 30 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.3
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
46.7/55Manageable file sizes — 24/159 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes360,508
source_files_sampled159
oversized_source_files24
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

9GitHub stars
2contributors
963commits, last 12 months
2days since last push
71releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'contexer' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for contexer carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-09 00:08 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests9 out of 11 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/6 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPImcp>=1.9.4,<2pyproject.toml
All dependencies 39

Full resolved dependency set from the GitHub dependency graph: 1 direct and 38 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImcp1.29.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcontexer0.42.0indirect
PyPIcoverage7.14.1indirect
PyPIcryptography50.0.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIidna3.17indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIpackaging26.2indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32311indirect
PyPIreferencing0.37.0indirect
PyPIrpds-py2026.5.1indirect
PyPIsse-starlette3.4.4indirect
PyPIstarlette1.6.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuvicorn0.48.0indirect
Dependency advisories 0

Installing pypi:contexer@0.46.0 pulls in 29 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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 v0.34.0 — full methodology · metrics wiki.

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