Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 23:25 UTC

scarletkc / vexor

A semantic search engine for files and code.

PythonMIT★ 245 stars⑂ 16 forkssince Nov 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#embeddings#ai#cli#python#search#vector#claude#codex#skills#terminal#mcp-server

scarletkc/vexor holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (50/100). It was last updated 18 days ago. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

KcPersonal account
122 followers31 public repossince May 2019@FOGMOE

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
PyPIvexor0.30.01,7505223 days agoaiclifilesemantic-searchtypervector

Metrics by category

Vitality

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

77Good · 21% of overall

Development activity

69Good
How it's scored
28.8/36Push recency — last push 18 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 354 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year354
human_commit_share0.98
days_since_last_push18
active_weeks_last_year18

Release discipline

90Excellent
How it's scored
27/27Ships releases — 52 releases published
36/36Release recency — latest release 23 days ago
27/27Release cadence — a release every ~8.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count52
latest_release_tagv0.30.0
releases_from_tagsno
days_since_latest_release23
mean_days_between_releases8.6

Community & Adoption

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

50Moderate · 17% of overall

Popularity & adoption

48Weak
How it's scored
38.7/60Stars — 245 stars
9.8/25Forks — 16 forks
0/15Watchers — 0 watchers
Inputs used
forks16
stars245
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

54Moderate
How it's scored
43.2/80Monthly downloads — 1,750 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesvexor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,750
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?

56Moderate · 23% of overall

Maintainer resilience (bus factor)

20At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.5/22.5Commit distribution — top contributor authored 98% of commits
4.1/13.5Contributor breadth — 3 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.98

Issue & PR responsiveness

62Moderate
How it's scored
21/42Issue resolution — 50% of issues closed
28.6/30PR acceptance — 63/66 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 10/30 approved changesets -- score normalized to 3
Inputs used
merged_prs63
open_issues4
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.5
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

60Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15/25Owner reach — 122 followers of scarletkc
23/25Track record — 31 public repos, account ~7 yr old
Inputs used
followers122
owner_typeUser
is_verified—
owner_loginscarletkc
public_repos31
account_age_days2,711
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 23 days ago
20/20Version history — 52 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvexor
ecosystemspypi
any_deprecatedno
min_days_since_publish23

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/vexor/
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsembeddings, ai, cli, python, search, vector, claude, codex, skills, terminal, mcp-server
has_wikiyes
homepagehttps://pypi.org/project/vexor/
docs_sitehttps://pypi.org/project/vexor/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 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
2.2/7.5Code-Review — Found 10/30 approved changesets -- score normalized to 3
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 21 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.5

Dependency advisories

85Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
10.2/25Indirect dependencies free of known advisories — 1 affected: certifi 2026.10.18 (high 7.4)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages60
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:vexor@0.30.0 runtime dependency closure — what installing the published package pulls in — 60 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.

68Good · 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 — 88 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.898
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes4,381

Verify loop (build / test / typecheck)

61Moderate
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 — 22 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 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_configs—
agent_commit_share0.22
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
52.7/55Manageable file sizes — 4/96 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,035
source_files_sampled96
oversized_source_files4

Key facts

245GitHub stars
3contributors
354commits, last 12 months
18days since last push
52releases
1bus factor
4open 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 ★ / 16 ⇿
0Stars
16Forks
49Releases

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.

03581013151542025-112026-042026-10
Major 0Minor 24Patch 18
OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-10-20 23:24 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 10/30 approved changesets -- score normalized to 3
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
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
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities21 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIgoogle-genai>=1.57.0pyproject.toml
PyPIopenai>=1.0.0pyproject.toml
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIpathspec>=0.12.1pyproject.toml
PyPIrank-bm25>=0.2.2pyproject.toml
PyPInumpy>=1.23.0pyproject.toml
PyPItokenizers>=0.15.0pyproject.toml
PyPItyper>=0.20.0pyproject.toml
PyPIrich>=13.0.0pyproject.toml
PyPIcharset-normalizer>=3.3.0pyproject.toml
PyPIpypdf>=4.0.0pyproject.toml
PyPIpython-docx>=0.8.11pyproject.toml
PyPIpython-pptx>=0.6.21pyproject.toml
PyPItree-sitter>=0.23.0pyproject.toml
PyPItree-sitter-javascript>=0.23.0pyproject.toml
PyPItree-sitter-typescript>=0.23.0pyproject.toml
PyPIwatchdog>=6.0.0pyproject.toml
All dependencies 141

Full resolved dependency set from the GitHub dependency graph: 36 direct and 105 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcharset-normalizer—direct
PyPIcharset-normalizer3.5.1direct
PyPIgoogle-genai—direct
PyPIgoogle-genai2.19.0direct
PyPInumpy—direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.2direct
PyPIopenai—direct
PyPIopenai3.3.1direct
PyPIpathspec—direct
PyPIpathspec1.1.1direct
PyPIpypdf—direct
PyPIpypdf6.16.1direct
PyPIpython-docx—direct
PyPIpython-docx1.2.0direct
PyPIpython-dotenv—direct
PyPIpython-dotenv1.2.3direct
PyPIpython-pptx—direct
PyPIpython-pptx1.0.2direct
PyPIrank-bm25—direct
PyPIrank-bm250.2.2direct
PyPIrich—direct
PyPIrich15.0.0direct
PyPItokenizers—direct
PyPItokenizers0.23.1direct
PyPItree-sitter—direct
PyPItree-sitter0.26.0direct
PyPItree-sitter-javascript—direct
PyPItree-sitter-javascript0.25.0direct
PyPItree-sitter-typescript—direct
PyPItree-sitter-typescript0.23.2direct
PyPItyper—direct
PyPItyper0.27.1direct
PyPIwatchdog—direct
PyPIwatchdog6.0.0direct
PyPIaltgraph0.17.5indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbuild—indirect
PyPIbuild1.5.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoloredlogs15.0.1indirect
PyPIcoverage7.15.4indirect
PyPIcryptography50.0.0indirect
PyPIdistro1.9.0indirect
PyPIdocutils0.23indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastembed—indirect
PyPIfastembed0.8.0indirect
PyPIfilelock3.32.3indirect
PyPIflashrank—indirect
PyPIflashrank0.2.10indirect
PyPIflatbuffers25.12.19indirect
PyPIfsspec2026.7.0indirect
PyPIgoogle-auth2.56.3indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhf-xet1.6.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhuggingface-hub1.28.0indirect
PyPIhumanfriendly10.0indirect
PyPIid1.6.1indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjiter0.16.0indirect
PyPIkeyring25.7.0indirect
PyPIloguru0.7.3indirect
PyPIlxml6.1.2indirect
PyPImacholib1.16.4indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImmh35.2.1indirect
PyPImore-itertools11.1.0indirect
PyPImpmath1.3.0indirect
PyPInh30.3.6indirect
PyPIonnxruntime1.23.2indirect
PyPIonnxruntime1.29.0indirect
PyPIonnxruntime-gpu—indirect
PyPIonnxruntime-gpu1.24.1indirect
PyPIonnxruntime-gpu1.29.0indirect
PyPIpackaging26.3indirect
PyPIpefile2024.8.26indirect
PyPIpillow12.3.0indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf7.36.0indirect
PyPIpy-rust-stemmers0.1.8indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.21.0indirect
PyPIpyinstaller—indirect
PyPIpyinstaller6.22.2indirect
PyPIpyinstaller-hooks-contrib2026.6indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyreadline33.5.6indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIruff0.16.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.4indirect
PyPItomli2.4.1indirect
PyPItqdm4.70.0indirect
PyPItruststore0.10.4indirect
PyPItwine—indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIwebsockets16.1.1indirect
PyPIwin32-setctime1.2.0indirect
PyPIxlsxwriter3.2.9indirect
PyPIzipp4.1.0indirect
Dependency advisories 1

Installing pypi:vexor@0.30.0 pulls in 60 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2026.10.18indirecthigh22026.10.19

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

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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.