Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 13:36 UTC

Nayjest / Gito

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

PythonMIT★ 432 stars⑂ 39 forkssince Apr 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#ai#code-analysis#code-review#github#github-actions#llm#code-quality#python#code-audit#developer-tools#software-engineering#static-analysis#ai-code-review#ai-code-reviewer#ai-coding#ai-coding-assistant#github-copilot#ai-code-analysis#ai-coding-tools#codereview

Nayjest/Gito holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Security (57/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Vitalii StepanenkoPersonal account
89 followers145 public repossince Nov 2009@metricinsights

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
PyPIgito.bot4.4.45,3363911 days agostatic-code-analysiscode-reviewcode-qualityaicodingassistantllmgithubautomationdevopsdeveloper-toolsgithub-actionsworkflowsgitpull-requestjiralineargitlabci-cdstatic-analysis

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

86Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 539 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year539
human_commit_share1
days_since_last_push0
active_weeks_last_year32

Release discipline

90Excellent
How it's scored
27/27Ships releases — 46 releases published
36/36Release recency — latest release 11 days ago
27/27Release cadence — a release every ~9.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count46
latest_release_tagv4.4.4
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases9.1

Community & Adoption

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

70Good · 17% of overall

Popularity & adoption

61Moderate
How it's scored
42.7/60Stars — 432 stars
13.2/25Forks — 39 forks
4.7/15Watchers — 8 watchers
Inputs used
forks39
stars432
watchers8
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, inspect.software, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

62Moderate
How it's scored
49.7/80Monthly downloads — 5,336 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgito.bot
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,336
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

35Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.7/22.5Commit distribution — top contributor authored 88% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.878

Issue & PR responsiveness

65Good
How it's scored
25.4/42Issue resolution — 60% of issues closed
26.3/30PR acceptance — 157/179 decided PRs merged
10.4/13Newcomer PR acceptance — 4/5 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/16 approved changesets -- score normalized to 2
Inputs used
merged_prs157
open_issues53
closed_issues81
prs_merged_7d2
prs_decided_7d2
prs_merged_30d13
prs_decided_30d14
issue_closed_ratio0.604
closed_unmerged_prs22
first_time_authors_30d4
first_time_prs_merged_30d4
first_time_prs_decided_30d5

Ownership & stewardship

61Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
14.1/25Owner reach — 89 followers of Nayjest
25/25Track record — 145 public repos, account ~16 yr old
Inputs used
followers89
owner_typeUser
is_verified—
owner_loginNayjest
public_repos145
account_age_days6,136
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 11 days ago
20/20Version history — 39 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgito.bot
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.flake8], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 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 — http://gito.bot/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsai, code-analysis, code-review, github, github-actions, llm, code-quality, python, code-audit, developer-tools, software-engineering, static-analysis, ai-code-review, ai-code-reviewer, ai-coding, ai-coding-assistant, github-copilot, ai-code-analysis, ai-coding-tools, codereview
has_wikiyes
homepagehttp://gito.bot/
docs_sitehttp://gito.bot/
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

Security posture

46Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 12 out of 12 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
1.5/7.5Code-Review — Found 4/16 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 6 contributing companies or organizations
0/10Dangerous-Workflow — 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 22 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
4.5/5Security-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_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

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_packages101
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:gito.bot@4.4.4 runtime dependency closure — what installing the published package pulls in — 101 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.

75Good · 4% of overall

Agent context & guidance

95Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
34.7/40Legible commit history — 65 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.65
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,164

Verify loop (build / test / typecheck)

67Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.flake8], [tool.black])
0/11Static type checking
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/76 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes22,400
source_files_sampled76
oversized_source_files0

Key facts

432GitHub stars
14contributors
539commits, last 12 months
0days since last push
46releases
1bus factor
53open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 432 stars today.

More detail

Star and fork history 395 ★ / 39 ⇿
395Stars
39Forks
43Releases

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.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

010020030040039538452025-052025-122026-08
Major 3Minor 13Patch 27

Each point covers 2 days.

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 · 2026-09-05 13:35 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/16 approved changesets -- score normalized to 2
10Contributorsproject has 6 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-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 10
RegistryPackageVersion constraintManifest
PyPIai-microcore~6.7.0pyproject.toml
PyPIGitPython^3.1.58pyproject.toml
PyPIunidiff^0.7.5pyproject.toml
PyPIgoogle-genai~2.10.0pyproject.toml
PyPIanthropic>=0.57.1,<1pyproject.toml
PyPItyper>=0.16.0,<0.26pyproject.toml
PyPIghapi~=1.0.8pyproject.toml
PyPIjira^3.10.5pyproject.toml
PyPIpydantic^2.12.5pyproject.toml
PyPIfastcore~=1.11.3pyproject.toml
All dependencies 157

Full resolved dependency set from the GitHub dependency graph: 10 direct and 147 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIanthropic0.121.0direct
PyPIfastcore1.11.5direct
PyPIghapi1.0.11direct
PyPIgitpython3.1.59direct
PyPIgoogle-genai2.10.0direct
PyPIjira3.10.5direct
PyPIpydantic2.12.5direct
PyPItyper0.25.1direct
PyPIunidiff0.7.5direct
PyPIaiofile3.12.3indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
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PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackports-zstd1.6.0indirect
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PyPIblack26.5.1indirect
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PyPIcachetools7.1.7indirect
PyPIcaio0.12.2indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.5.0indirect
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PyPIdocutils0.23indirect
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PyPIexceptiongroup1.3.1indirect
PyPIfastjsonschema2.22.1indirect
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PyPIfastmcp-slim3.4.7indirect
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PyPIflake87.3.0indirect
PyPIflake8-pyproject1.2.4indirect
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PyPIgoogle-auth2.56.3indirect
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PyPIid1.6.1indirect
PyPIidna3.18indirect
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PyPIiniconfig2.3.0indirect
PyPIinstaller1.0.1indirect
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PyPIkeyring25.7.0indirect
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PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIpbs-installer2026.8.7indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.11.2indirect
PyPIpluggy1.6.0indirect
PyPIpoetry2.4.1indirect
PyPIpoetry-core2.4.0indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyasn10.6.4indirect
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PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpylint4.0.7indirect
PyPIpyperclip1.11.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-discovery1.5.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIrapidfuzz3.14.5indirect
PyPIreadme-renderer45.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette3.4.8indirect
PyPIstarlette1.6.0indirect
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PyPItiktoken0.13.0indirect
PyPItomlkit0.15.1indirect
PyPItqdm4.70.0indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.52.1indirect
PyPIvirtualenv21.7.4indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.1.1indirect
PyPIxattr1.3.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:gito.bot@4.4.4 pulls in 101 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

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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.