Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 16:16 UTC

hi-godot / godot-ai

Production-grade MCP server and AI tools for the Godot engine. A Snap to install. Totally free and fun.

GDScript · PythonMIT★ 3,104 stars⑂ 180 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolMCP serverLibraryNetwork servicehow this is determined

hi-godot/godot-ai holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on AI Readiness (59/100). It was last updated today. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

hi-godotOrganization
28 followers6 public repossince Apr 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgodot-ai4.3.068,03210816 days agogodotgodot-enginemcpmodel-context-protocolaillmgamedeveditor-plugin

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
17.3/36Commit cadence — 25/52 weeks with commits
18/18Commit volume — 1,122 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,122
human_commit_share0.98
days_since_last_push0
active_weeks_last_year25

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 16 days ago
27/27Release cadence — a release every ~2.9 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tagv4.3.0
releases_from_tagsno
days_since_latest_release16
mean_days_between_releases2.9

Community & Adoption

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

78Good · 17% of overall
How it's scored
56.6/60Stars — 3,104 stars
18.8/25Forks — 180 forks
6.8/15Watchers — 18 watchers
Inputs used
forks180
stars3,104
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
64.4/80Monthly downloads — 68,032 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgodot-ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads68,032
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.6/22.5Commit distribution — top contributor authored 84% of commits
13.5/13.5Contributor breadth — 30 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled30
top_contributor_share0.838
How it's scored
39.3/42Issue resolution — 94% of issues closed
26.9/30PR acceptance — 674/753 decided PRs merged
13/13Newcomer PR acceptance — 6/6 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 6/28 approved changesets -- score normalized to 2
Inputs used
merged_prs674
open_issues26
closed_issues373
prs_merged_7d0
prs_decided_7d0
prs_merged_30d53
prs_decided_30d53
issue_closed_ratio0.935
closed_unmerged_prs79
first_time_authors_30d1
first_time_prs_merged_30d6
first_time_prs_decided_30d6
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.5/25Owner reach — 28 followers of hi-godot
7.2/25Track record — 6 public repos, account ~0 yr old
Inputs used
followers28
owner_typeOrganization
is_verifiedno
owner_loginhi-godot
public_repos6
account_age_days191

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 16 days ago
20/20Version history — 108 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgodot-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 8 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 — 30 out of 30 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://github.com/hi-godot/godot-ai#readme
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsai, game-development, godot, godot-plugin, mcp
has_wikiyes
homepage—
docs_sitehttps://github.com/hi-godot/godot-ai#readme
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 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
2.5/2.5CI-Tests — 30 out of 30 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 6/28 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 5 contributing companies or organizations
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
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_aggregate6

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_packages72
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:godot-ai@4.3.0 runtime dependency closure — what installing the published package pulls in — 72 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.

59Moderate · 4% of overall
How it's scored
45/45Agent instructions — .claude/CLAUDE.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 96 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files.claude/CLAUDE.md, AGENTS.md
agent_instruction_max_bytes32,533
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 33 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.33
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable code — GDScript without a type-check config
54.1/55Manageable file sizes — 5/313 source files over 60KB
Inputs used
primary_languageGDScript
largest_source_bytes288,888
source_files_sampled313
oversized_source_files5
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

3,104GitHub stars
30contributors
1,122commits, last 12 months
0days since last push
100releases
1bus factor
26open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 180 ⇿
0Stars
180Forks
100Releases

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.

0408012016020017962026-042026-072026-10
Major 3Minor 17Patch 80
OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 16:15 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests30 out of 30 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 6/28 approved changesets -- score normalized to 2
10Contributorsproject has 5 contributing companies or organizations
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
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIfastmcp==4.0.10pyproject.toml
PyPIfastmcp-slim==4.0.10pyproject.toml
PyPIanyio==4.15.1pyproject.toml
PyPImcp==2.2.0pyproject.toml
PyPImcp-types==2.2.0pyproject.toml
PyPIwebsockets==17.1pyproject.toml
PyPIpydantic==2.13.5pyproject.toml
PyPIhttpx==0.28.1pyproject.toml
PyPIsniffio==1.3.1pyproject.toml
PyPIhttpx2==2.13.1pyproject.toml
PyPIhttpcore2==2.13.1pyproject.toml
PyPIuvicorn==0.54.0pyproject.toml
PyPIstarlette==1.7.0pyproject.toml
PyPIh11==0.16.0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:godot-ai@4.3.0 pulls in 72 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.