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JohnCoates/Aerial

Apple TV Aerial Screensaver for Mac

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Swift
★ 21,274
commit 6b4aa82ab3d5
scored 2026-11-14
scoring prov-5+qual-2+sec-2

AI provenance

possible

Confidence: 65%
Coverage: 100%

Estimated share of AI-generated code. Explicit attribution is a lower bound.

Code quality

55/100

weak

Confidence: 90%
Coverage: 100%

Complexity, duplication, lint density, tests, CI, docs and review process.

Security

72/100

adequate

Confidence: 85%
Coverage: 100%

Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.

Dispute or request a re-score Full report JSON

AI provenance

0% possible

Weak signals consistent with AI-assisted development. Comments and strings use phrasing typical of LLM-written code (see the coding style evidence).

How the score is built

Explicitly attributed share0%
Unattributed share in AI-pace bursts0%
Estimated AI-generated share0%
AI tool configuration files0
Work sessions at AI pace0
Releases at AI pace0
Coding-style index (1.0+ means possible)1.92

Lines added per month all AI-attributed share

2015-102,575 · 0% AI
2015-11509 · 0% AI
2015-120 · 0% AI
2016-041 · 0% AI
2016-050 · 0% AI
2016-091,330 · 0% AI
2016-120 · 0% AI
2017-010 · 0% AI
2017-030 · 0% AI
2017-060 · 0% AI
2017-100 · 0% AI
2017-11132 · 0% AI
2017-120 · 0% AI
2018-070 · 0% AI
2018-091,031 · 0% AI
2018-107,893 · 0% AI
2018-11984 · 0% AI
2018-12351 · 0% AI
2019-0181 · 0% AI
2019-0240 · 0% AI
2019-030 · 0% AI
2019-04497 · 0% AI
2019-052,053 · 0% AI
2019-062,675 · 0% AI
2019-0772 · 0% AI
2019-088 · 0% AI
2019-09505 · 0% AI
2019-10196 · 0% AI
2019-1158 · 0% AI
2019-123,871 · 0% AI
2020-01613 · 0% AI
2020-021,237 · 0% AI
2020-03632 · 0% AI
2020-041,570 · 0% AI
2020-05640 · 0% AI
2020-06740 · 0% AI
2020-075,531 · 0% AI
2020-083,317 · 0% AI
2020-09381 · 0% AI
2020-1039 · 0% AI
2020-11392 · 0% AI
2020-1271 · 0% AI
2021-0150 · 0% AI
2021-020 · 0% AI
2021-031,055 · 0% AI
2021-041,592 · 0% AI
2021-0572 · 0% AI
2021-06230 · 0% AI
2021-07864 · 0% AI
2021-11611 · 0% AI
2021-120 · 0% AI
2022-01886 · 0% AI
2022-02253 · 0% AI
2022-030 · 0% AI
2022-0450 · 0% AI
2022-07500 · 0% AI
2022-08654 · 0% AI
2022-0943 · 0% AI
2022-1087 · 0% AI
2022-11227 · 0% AI
2023-017 · 0% AI
2023-032 · 0% AI
2023-0579 · 0% AI
2023-06175 · 0% AI
2023-07327 · 0% AI
2023-08114 · 0% AI
2023-09211 · 0% AI
2023-1053 · 0% AI
2023-11225 · 0% AI
2024-0248 · 0% AI
2024-11142 · 0% AI
2024-1256 · 0% AI
2025-029 · 0% AI
2025-0417 · 0% AI
2025-076 · 0% AI
2025-0859 · 0% AI
2026-050 · 0% AI

Evidence by analyzer

Explicit AI attributionok

attributed_commit_share: 0.0%
attributed_commits: 0
attributed_loc: 0
attributed_loc_share: 0.0%
commits: 1,085
effective_loc: 48,729
tools_detected: 0

AI tool configurationok

artifacts: 0
tools_configured: 0
workflow_agents: 0

Commit velocityok

excluded_import_loc: 0
flagged_loc: 0
flagged_loc_share: 0.0%
flagged_units: 0
max_loc_per_hour: 689
measured_loc: 48,729
median_loc_per_hour: 59.57
pr_timed_units: 1
pre_ai_era_burst_loc: 2,756
pre_ai_era_bursts: 1
pre_ai_era_measured_loc: 43,024
work_units: 394

Release velocityok

flagged_releases: 0
max_loc_per_day: 650.10
releases: 99

Coding styleok6 items

count:assistant_voice: 0
count:emoji_in_code: 82
count:narrated_steps: 6
count:placeholder: 0
files:assistant_voice: 0
files:emoji_in_code: 8
files:narrated_steps: 5
files:placeholder: 0
index: 1.92
lines_scanned: 24,429
per_kloc:assistant_voice: 0
per_kloc:emoji_in_code: 3.36
per_kloc:narrated_steps: 0.25
per_kloc:placeholder: 0

Code quality

55 weak

Code quality is weak: test-to-source ratio 0.00, CI runs tests; 8% of function code in complex or long functions; 12% duplicated lines. Weakest area: process.

How the score is built

Complexity79
Duplication49
Lint and smells100
Tests and CI35
Documentation45
Type safetynot measured
Review process5

Evidence by analyzer

Complexity (lizard)ok10 items

complex_functions: 15
function_nloc: 13,665
functions: 1,105
long_functions: 2
many_param_functions: 1
mean_ccn: 3.12
p90_ccn: 7
risky_nloc_share: 7.9%

Duplication (jscpd)ok10 items

compared_lines: 16,343
duplicated_lines: 1,964
duplicated_share: 12.0%
files: 141

Lintok

findings: 0
scanned_lines: 24,419
weighted_findings: 0

Tests and CIok2 items

CI config: .travis.yml .travis.yml
CI runs tests (make test)

check:ci_present: yes
check:ci_runs_lint: no
check:ci_runs_tests: yes
check:has_tests: no
check:test_ratio: no
check:tests_cochange: no
ci_files: 1
cochange_commits: 167
cochange_share: 0.0%
source_lines: 24,429
test_lines: 0
test_ratio: 0

Documentationok2 items

Readme.md Readme.md
LICENSE LICENSE

check:changelog: no
check:contributing: no
check:license: yes
check:readme: no
readme_lines: 9

Type safetyskipped

Security

72 adequate

Security posture is adequate: no high-impact findings. Weakest area: posture.

How the score is built

Secrets100
Static analysis (SAST)100
Vulnerable dependenciesnot measured
CI workflowsnot measured
Security posture0
OpenSSF Scorecard20

Evidence by analyzer

OpenSSF Scorecardok10 items

aggregate: 1.90
check:Binary-Artifacts: yes
check:Branch-Protection: no
check:CII-Best-Practices: no
check:Code-Review: yes
check:Fuzzing: no
check:License: yes
check:Maintained: no
check:SAST: no
check:Security-Policy: no
check:Signed-Releases: no

Package registriesskipped

no registry dependencies declared

Secrets (gitleaks)ok

secrets_current: 0
secrets_history: 0
secrets_low_confidence: 0
secrets_nonprod: 0

Static analysis (opengrep)ok

findings: 1
findings_high: 0
findings_low: 0
findings_medium: 1
parse_errors: 1
scanned_lines: 24,419
weighted_findings: 0.25

Dependencies (osv-scanner)skipped

CI workflows (zizmor)skipped

Security postureok

check:dependency_updates: no
check:lockfiles: yes
check:security_policy: no
check:signed_commits: no
signed_commit_share: 30.0%
unpinned_manifests: 0

Release downloadsok5 items

binary_assets: 10
signals: 1
suspicious: 0

Findings

1 medium

Severity	Rule	Location	Message	Tool
medium	`opengrep/swift.lang.crypto.insecure-random`	Aerial/Source/Views/Layers/AnimatableLayer.swift:158	A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the...	Static analysis (opengrep)

Tools and coverage

Every analyzer that ran on this commit. A failed or skipped tool is a coverage gap: its share of the score is left out and the coverage figure drops.

Analyzer	Pillar	Status	Version	Findings	Note
AI tool configuration	AI provenance	ok	`signatures-v1`	0
Explicit AI attribution	AI provenance	ok	`signatures-v1`	0
Release velocity	AI provenance	ok	`prov-5`	0
Coding style	AI provenance	ok	`—`	0
Commit velocity	AI provenance	ok	`prov-5`	0
Complexity (lizard)	Code quality	ok	`lizard 1.25.1`	0
Documentation	Code quality	ok	`—`	0
Duplication (jscpd)	Code quality	ok	`repotrust-dup-w6`	0
Lint	Code quality	ok	`opengrep 1.33.1; rules f1d2b562b414`	0
Tests and CI	Code quality	ok	`—`	0
Type safety	Code quality	skipped	`—`	0
CI workflows (zizmor)	Security	skipped	`—`	0
Dependencies (osv-scanner)	Security	skipped	`—`	0
Release downloads	Security	ok	`—`	0
Security posture	Security	ok	`—`	0
Package registries	Security	skipped	`—`	0	no registry dependencies declared
Static analysis (opengrep)	Security	ok	`opengrep 1.33.1; rules f1d2b562b414`	1
OpenSSF Scorecard	Security	ok	`scorecard v5.6.0`	0
Secrets (gitleaks)	Security	ok	`gitleaks 8.30.1`	0

Score history

Scored	Commit	Scoring	AI provenance	Quality	Security
2026-11-14	`6b4aa82ab3d5`	`prov-5+qual-2+sec-2`	0%	55	72

Embed a badge

Maintainers can show these in a README. Badges update when the repository is re-scored.

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Full text report

Repository: https://github.com/JohnCoates/Aerial
Commit: 6b4aa82ab3d5e247a198d86c3d645fcf68c98fec
Generated: 2026-11-14T15:58:49+00:00
Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2

Scores

Pillar	Score	Signal	Confidence	Coverage
AI provenance (estimated AI-generated share)	0	possible	65%	100%
Code quality	55	weak	90%	100%
Security	72	adequate	85%	100%

AI provenance

Weak signals consistent with AI-assisted development. Comments and strings use phrasing typical of LLM-written code (see the coding style evidence).

Explicitly attributed share (lower bound): 0.0%
Unattributed share in AI-consistent velocity bursts: 0.0%
Estimated AI-generated share: 0.0%
Stylometry index: 1.92 per 1,000 lines (narrated steps 6, placeholders 0, assistant phrasing 0, emoji 82). Reported as a signal, not scored.

Month	Lines added	Attributed to AI
2023-07	327	0%
2023-08	114	0%
2023-09	211	0%
2023-10	53	0%
2023-11	225	0%
2024-02	48	0%
2024-11	142	0%
2024-12	56	0%
2025-02	9	0%
2025-04	17	0%
2025-07	6	0%
2025-08	59	0%

Evidence

step-by-step narration comment: // Step 1 : Delete hidden videos (Aerial/Sourc)
step-by-step narration comment: // Step 2 : Delete videos that are out of rotation (Aerial/Sourc)
step-by-step narration comment: // Now we can finally add... (Aerial/Sourc)
step-by-step narration comment: // Now we can finally add... (Aerial/Sourc)
step-by-step narration comment: // Now we need to check if we should remove lingering stuff from the cache ! (Aerial/Sourc)
step-by-step narration comment: // Now we draw each individual screen (Aerial/Sourc)

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is weak: test-to-source ratio 0.00, CI runs tests; 8% of function code in complex or long functions; 12% duplicated lines. Weakest area: process.

Area	Score
Complexity (lizard)	79
Duplication	49
Code smells (Opengrep)	100
Tests and CI	35
Documentation	45
Type safety	n/a
Process (Scorecard review/maintenance)	5

Functions: 1,105; mean complexity 3.1, 90th percentile 7; 15 complex and 2 long functions
Duplicated lines: 12.0% of 16,343 compared
Tests: 0 test lines for 24,429 source lines (ratio 0.00); CI test commands: make test; 0% of recent source commits also change tests
Docs missing or thin: readme, contributing, changelog

Most complex functions:

Security

Security posture is adequate: no high-impact findings. Weakest area: posture.

Area	Score
Secrets (gitleaks, tree + history)	100
Static analysis (Opengrep)	100
Vulnerable dependencies (OSV)	n/a
CI workflows (zizmor)	n/a
Posture (policy, updates, signing, lockfiles)	0
OpenSSF Scorecard	20

Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
OpenSSF Scorecard aggregate: 1.9/10 (published 2026-11-09)

Top findings

Severity	Finding	Location
medium	`opengrep/swift.lang.crypto.insecure-random`: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the `SecCopyRandomBytes` API explicitly. [confidence low]	Aerial/Source/Views/Layers/AnimatableLayer.swift:158

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Distribution signals

binary-release-asset: release v3.6.3 ships Aerial.saver.zip (94611 downloads)
binary-release-asset: release v3.6.2 ships Aerial.saver.zip (166 downloads)
binary-release-asset: release v3.6.1 ships Aerial.saver.zip (16813 downloads)
binary-release-asset: release v3.6.0 ships Aerial.saver.zip (18325 downloads)
binary-release-asset: release v3.5.2beta6 ships Aerial.saver.zip (3367 downloads)

Signals consistent with a repository that exists to distribute a download. They are heuristics, not a verdict; release files were not downloaded or inspected.

Repository profile

Source lines: 24,429; test lines: 0

Language	Lines
Swift	24,400
C	19
Objective-C	10