Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 10:18 UTC

arduino / compile-sketches

GitHub Actions action that checks whether Arduino sketches compile and produces a report of data from the compilations

PythonGPL-3.0★ 90 stars⑂ 16 forkssince Sep 2020View on GitHub ↗
#arduino#continuous-integration#ci#github-actions

arduino/compile-sketches holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (88/100) and lowest on AI Readiness (38/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

ArduinoOrganization
5,859 followers278 public repossince Aug 2010

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

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

96Exceptional
How it's scored
36/36Push recency — last push 2 days ago
32.5/36Commit cadence — 47/52 weeks with commits
18/18Commit volume — 269 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year269
human_commit_share—
days_since_last_push2
active_weeks_last_year47

Release discipline

76Good
How it's scored
27/27Ships releases — 6 releases published
36/36Release recency — latest release 17 days ago
5.4/27Release cadence — a release every ~382.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tagv1.1.3
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases382.1
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?

48Weak · 17% of overall

Popularity & adoption

46Weak
How it's scored
31.6/60Stars — 90 stars
9.8/25Forks — 16 forks
4.7/15Watchers — 8 watchers
Inputs used
forks16
stars90
watchers8
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 (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

70Good · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.8/22.5Commit distribution — top contributor authored 61% of commits
9.5/13.5Contributor breadth — 7 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.608

Issue & PR responsiveness

81Excellent
How it's scored
29.7/42Issue resolution — 71% of issues closed
28.4/30PR acceptance — 461/487 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs461
open_issues12
closed_issues29
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.707
closed_unmerged_prs26
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance, OpenSSF Scorecard: Code-Review. Remaining weights renormalized.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 5,859 followers of arduino
25/25Track record — 278 public repos, account ~15 yr old
Inputs used
followers5,859
owner_typeOrganization
is_verified—
owner_loginarduino
public_repos278
account_age_days5,803
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 17 workflow(s)
24/24Tests present
16/16Linter config — .flake8
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsarduino, continuous-integration, ci, github-actions
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

62Moderate
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
2.5/2.5CI-Tests — 15 out of 15 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
0/7.5Code-Review — no data
2.5/2.5Contributors — project has 4 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 1 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
5/5SAST — SAST tool is 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 — 15 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Code-Review, Packaging, Signed-Releases. Remaining weights renormalized.

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.

38Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

73Good
How it's scored
18/18One-command bootstrap — Taskfile.yml
22/22Automated tests
11/11Lint / format config — .flake8
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, poetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesTaskfile.yml
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

18Critical
How it's scored
0/45Type-checkable code — Python without a type-check config
18.3/55Manageable file sizes — 2/3 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes134,471
source_files_sampled3
oversized_source_files2

Key facts

90GitHub stars
7contributors
269commits, last 12 months
2days since last push
6releases
1bus factor
12open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-07-19 10:17 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
n/aCode-ReviewFound no human activity in the last 15 changesets
10Contributorsproject has 4 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 1 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities15 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIGitPython3.1.51pyproject.toml
PyPIPyGithub2.9.1pyproject.toml
PyPIPyYAML6.0.3pyproject.toml
PyPIsemver3.0.4pyproject.toml
All dependencies 378

Full resolved dependency set from the GitHub dependency graph: 4 direct and 374 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIdistlib0.3.8indirect
PyPIdulwich1.2.5indirect
PyPIfastjsonschema2.19.1indirect
PyPIfilelock3.20.3indirect
PyPIfindpython0.6.2indirect
PyPIflake87.3.0indirect
PyPIgitdb4.0.10indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.15indirect
PyPIiniconfig2.0.0indirect
PyPIinstaller1.0.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.1.0indirect
PyPIjeepney0.8.0indirect
PyPIkeyring25.6.0indirect
PyPImccabe0.7.0indirect
PyPImore-itertools10.3.0indirect
PyPImsgpack1.2.1indirect
PyPImypy-extensions1.0.0indirect
PyPIpackaging25.0indirect
PyPIpathspec1.0.3indirect
PyPIpbs-installer2026.1.14indirect
PyPIpep8-naming0.15.1indirect
PyPIpkginfo1.12.0indirect
PyPIplatformdirs4.2.2indirect
PyPIpluggy1.5.0indirect
PyPIpoetry2.4.1indirect
PyPIpoetry-core2.4.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser2.21indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpynacl1.6.2indirect
PyPIpyproject-hooks1.1.0indirect
PyPIpyserial3.5indirect
PyPIpytest9.1.1indirect
PyPIpytest-mock3.15.1indirect
PyPIpytokens0.4.1indirect
PyPIpywin32-ctypes0.2.2indirect
PyPIrapidfuzz3.9.3indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIsecretstorage3.3.3indirect
PyPIshellingham1.5.4indirect
PyPIsmmap5.0.0indirect
PyPIsniffio1.3.1indirect
PyPItomlkit0.12.5indirect
PyPItrove-classifiers2024.5.22indirect
PyPItyping-extensions4.8.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
PyPIxattr1.1.0indirect
PyPIyamllint1.38.0indirect
PyPIzstandard0.23.0indirect
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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 v0.15.0 — full methodology · metrics wiki.

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