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varun-ml/buddy

A little pet on your Mac that tells you when Claude Code or Codex needs you. 100% local.

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  • Swift
  • ★ 11
  • commit 24a42083e475
  • scored 2026-11-14
  • scoring prov-5+qual-2+sec-2

unreviewed-ai-risk

AI provenance

100%

explicit

Confidence
87%
Coverage
100%

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

Code quality

56/100

weak

Confidence
90%
Coverage
100%

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

Security

86/100

strong

Confidence
85%
Coverage
100%

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

AI provenance

100% explicit

Explicit AI attribution on 100% of first-party code added; an estimated 100% including velocity signals.

How the score is built

  • Explicitly attributed share100%
  • Unattributed share in AI-pace bursts0%
  • Estimated AI-generated share100%
  • AI tool configuration files0
  • Work sessions at AI pace1
  • Releases at AI pace0
  • Coding-style index (1.0+ means possible)6.68

Attributed AI tools

ToolCommitsLines addedFirst seenLast seen
Claude Code6815,8192026-10-072026-11-02

Lines added per month all AI-attributed share

  1. 2026-1015,671 · 100% AI
  2. 2026-11148 · 100% AI

Findings in AI-attributed lines vs the rest

From git blame: 10,397 lines trace to AI-attributed commits, 0 to others. Too few lines in one group for a fair comparison. Reported, not scored.

Findings per 1,000 linesAI-attributedOtherRatio
Code quality2.02——
Security1.06——

Evidence by analyzer

Explicit AI attributionok26 items
attributed_commit_share
100.0%
attributed_commits
68
attributed_loc
15,819
attributed_loc_share
100.0%
commits
68
effective_loc
15,819
tools_detected
1
AI tool configurationok
artifacts
0
tools_configured
0
workflow_agents
0
Commit velocityok1 item
excluded_import_loc
8,352
flagged_loc
1,705
flagged_loc_share
22.8%
flagged_units
1
max_loc_per_hour
1,654.89
measured_loc
7,467
median_loc_per_hour
49.43
pr_timed_units
52
pre_ai_era_burst_loc
0
pre_ai_era_bursts
0
pre_ai_era_measured_loc
0
work_units
55
Release velocityok
flagged_releases
0
max_loc_per_day
1,367.20
releases
4
Coding styleok
count:assistant_voice
0
count:emoji_in_code
139
count:narrated_steps
0
count:placeholder
0
files:assistant_voice
0
files:emoji_in_code
26
files:narrated_steps
0
files:placeholder
0
index
6.68
lines_scanned
10,397
per_kloc:assistant_voice
0
per_kloc:emoji_in_code
13.37
per_kloc:narrated_steps
0
per_kloc:placeholder
0
Findings in AI-written linesok
ai_lines
10,397
blame_failures
0
files_blamed
51
other_lines
0
quality:ai_findings
21
quality:ai_per_kloc
2.02
quality:other_findings
0
security:ai_findings
11
security:ai_per_kloc
1.06
security:other_findings
0

Code quality

56 weak

Code quality is weak: test-to-source ratio 0.02, no CI test run detected; 36% of function code in complex or long functions; 0% duplicated lines. Weakest area: complexity.

How the score is built

  • Complexity34
  • Duplication98
  • Lint and smells58
  • Tests and CI42
  • Documentation80
  • Type safety40
  • Review processnot measured

Evidence by analyzer

Complexity (lizard)ok10 items
complex_functions
45
function_nloc
7,279
functions
682
long_functions
9
many_param_functions
1
mean_ccn
4.85
p90_ccn
11
risky_nloc_share
36.1%
Duplication (jscpd)ok2 items
compared_lines
8,215
duplicated_lines
24
duplicated_share
0.3%
files
51
Lintok
category:best-practice
21
findings
21
scanned_lines
10,397
weighted_findings
23
Tests and CIok1 item
  • CI config: .github/workflows/ci.yml .github/workflows/ci.yml
check:ci_present
yes
check:ci_runs_lint
no
check:ci_runs_tests
no
check:has_tests
yes
check:test_ratio
no
check:tests_cochange
no
ci_files
1
cochange_commits
64
cochange_share
15.6%
source_lines
10,397
test_lines
215
test_ratio
0.02
Documentationok3 items
  • README.md README.md
  • LICENSE LICENSE
  • CONTRIBUTING.md CONTRIBUTING.md
check:changelog
no
check:contributing
yes
check:license
yes
check:readme
yes
readme_lines
166
Type safetyok
check:low_escape_density
yes
check:strict_config
no
escapes
0
escapes_per_kloc
0

Security

86 strong

Security posture is strong: 7 high-severity SAST findings. Weakest area: posture.

How the score is built

  • Secrets100
  • Static analysis (SAST)75
  • Vulnerable dependenciesnot measured
  • CI workflows94
  • Security posture60
  • OpenSSF Scorecardnot measured

Evidence by analyzer

OpenSSF Scorecardskipped

no published OpenSSF Scorecard result for this repo

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
12
findings_high
7
findings_low
0
findings_medium
5
parse_errors
5
scanned_lines
10,397
weighted_findings
8.60
Dependencies (osv-scanner)skipped
CI workflows (zizmor)ok
findings
2
findings_high
0
findings_low
0
findings_medium
2
penalty
3.60
workflows
1
Security postureok1 item
  • Security policy: SECURITY.md SECURITY.md
check:dependency_updates
no
check:lockfiles
yes
check:security_policy
yes
check:signed_commits
yes
signed_commit_share
79.4%
unpinned_manifests
0
Release downloadsok
binary_assets
0
signals
0
suspicious
0

Findings

8 high27 medium

SeverityRuleLocationMessageTool
high opengrep/python.lang.best-practice.arbitrary-sleep phone.py:271 time.sleep() call; did you mean to leave this in? Lint
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit beat.py:133 Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external... Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit beat.py:147 Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external... Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-tainted-env-args beat.py:147 Detected subprocess function 'run' with user controlled data. A malicious actor could leverage this to perform command injection. You may consider using 'shlex.quote()'. [confidence medium] Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit beat.py:349 Detected subprocess function 'Popen' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external... Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-tainted-env-args beat.py:349 Detected subprocess function 'Popen' with user controlled data. A malicious actor could leverage this to perform command injection. You may consider using 'shlex.quote()'. [confidence medium] Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit buddy-cli:22 Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external... Static analysis (opengrep)
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit phone.py:39 Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external... Static analysis (opengrep)
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:106 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:161 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:165 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:226 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:233 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:300 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:345 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:364 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:383 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.hardcoded-tmp-path beat.py:396 Detected hardcoded temp directory. Consider using 'tempfile.TemporaryFile' instead. Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding beat.py:396 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:139 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:156 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:169 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:219 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:268 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:281 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:31 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:33 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding phone.py:336 Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). Lint
medium zizmor/excessive-permissions .github/workflows/ci.yml:5 overly broad permissions [confidence medium] CI workflows (zizmor)
medium zizmor/artipacked .github/workflows/ci.yml:8 credential persistence through GitHub Actions artifacts [confidence low] CI workflows (zizmor)
medium opengrep/swift.lang.crypto.insecure-random Sources/Model.swift:521 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)
medium opengrep/swift.lang.crypto.insecure-random Sources/Model.swift:529 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)
medium opengrep/swift.lang.crypto.insecure-random Sources/Window.swift:497 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)
medium opengrep/swift.lang.crypto.insecure-random Sources/Window.swift:535 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)
medium opengrep/swift.lang.crypto.insecure-random Sources/Window.swift:547 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.

AnalyzerPillarStatusVersionFindingsNote
AI tool configurationAI provenanceoksignatures-v10
Explicit AI attributionAI provenanceoksignatures-v10
Release velocityAI provenanceokprov-40
Coding styleAI provenanceok—0
Commit velocityAI provenanceokprov-40
Findings in AI-written linesAI provenanceokgit-blame0
Complexity (lizard)Code qualityoklizard 1.25.10
DocumentationCode qualityok—0
Duplication (jscpd)Code qualityokrepotrust-dup-w60
LintCode qualityokopengrep 1.33.1; rules f1d2b562b41421
Tests and CICode qualityok—0
Type safetyCode qualityok—0
CI workflows (zizmor)Securityokzizmor 1.32.02
Dependencies (osv-scanner)Securityskipped—0
Release downloadsSecurityok—0
Security postureSecurityok—0
Package registriesSecurityskipped—0no registry dependencies declared
Static analysis (opengrep)Securityokopengrep 1.33.1; rules f1d2b562b41412
OpenSSF ScorecardSecurityskipped—0no published OpenSSF Scorecard result for this repo
Secrets (gitleaks)Securityokgitleaks 8.30.10

Score history

Scores from different scoring versions aren't directly comparable.

ScoredCommitScoringAI provenanceQualitySecurity
2026-11-1424a42083e475prov-5+qual-2+sec-2100%5686
2026-11-1424a42083e475prov-4+qual-2+sec-2100%5686

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/varun-ml/buddy
  • Commit: 24a42083e475676a74ef0611c91e151201d96d25
  • Generated: 2026-11-14T14:52:08+00:00
  • Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2

Scores

Unreviewed AI code risk: a large share of this code is explicitly AI-attributed, and its tests or review process are weak while quality or security scores are low.

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 100 explicit 87% 100%
Code quality 56 weak 90% 100%
Security 86 strong 85% 100%

AI provenance

Explicit AI attribution on 100% of first-party code added; an estimated 100% including velocity signals.

  • Explicitly attributed share (lower bound): 100.0%
  • Unattributed share in AI-consistent velocity bursts: 0.0%
  • Estimated AI-generated share: 100.0%
AI tool Attributed commits Lines added
Claude Code 68 15,819

Current source lines last changed by AI-attributed commits: 10,397 of 10,397.

Too few lines in one group to compare finding densities.

  • Stylometry index: 6.68 per 1,000 lines (narrated steps 0, placeholders 0, assistant phrasing 0, emoji 139). Reported as a signal, not scored.
Month Lines added Attributed to AI
2026-10 15,671 100%
2026-11 148 100%

Evidence

  • Claude Code: trailer 'Co-authored-by: Claude' (24a42083e475)
  • Claude Code: trailer 'Co-authored-by: Claude' (1539cf385ea8)
  • Claude Code: trailer 'Co-authored-by: Claude' (f85ab0141b23)
  • Claude Code: trailer 'Co-authored-by: Claude' (eb75dca2a67c)
  • Claude Code: trailer 'Co-authored-by: Claude' (437d2c3667aa)
  • Claude Code: trailer 'Co-authored-by: Claude' (ffd16c3f0d6f)
  • Claude Code: trailer 'Co-authored-by: Claude' (deb2f853a516)
  • Claude Code: trailer 'Co-authored-by: Claude' (72f6fef7bad6)
  • Claude Code: trailer 'Co-authored-by: Claude' (b34fd979f6e5)
  • Claude Code: trailer 'Co-authored-by: Claude' (101f10a7c62e)
  • Claude Code: trailer 'Co-authored-by: Claude' (ea893f6e6006)
  • Claude Code: trailer 'Co-authored-by: Claude' (2c1b4763bd80)
  • Claude Code: trailer 'Co-authored-by: Claude' (9ae54330c517)
  • Claude Code: trailer 'Co-authored-by: Claude' (271f60060076)
  • Claude Code: trailer 'Co-authored-by: Claude' (dd9fd8a4d09e)

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 0.02, no CI test run detected; 36% of function code in complex or long functions; 0% duplicated lines. Weakest area: complexity.

Area Score
Complexity (lizard) 34
Duplication 98
Code smells (Opengrep) 58
Tests and CI 42
Documentation 80
Type safety 40
Process (Scorecard review/maintenance) n/a
  • Functions: 682; mean complexity 4.8, 90th percentile 11; 45 complex and 9 long functions
  • Duplicated lines: 0.3% of 8,215 compared
  • Tests: 215 test lines for 10,397 source lines (ratio 0.02); CI test commands: none detected; 16% of recent source commits also change tests
  • Docs missing or thin: changelog

Most complex functions:

Security

Security posture is strong: 7 high-severity SAST findings. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 75
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) 94
Posture (policy, updates, signing, lockfiles) 60
OpenSSF Scorecard n/a
  • Posture checks passed: security policy, signed commits, lockfiles; missing: dependency updates

Top findings

Severity Finding Location
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] beat.py:133
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] beat.py:147
high opengrep/python.lang.security.audit.dangerous-subprocess-use-tainted-env-args: Detected subprocess function 'run' with user controlled data. A malicious actor could leverage this to perform command injection. You may consider using 'shlex.quote()'. [confidence medium] beat.py:147
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] beat.py:349
high opengrep/python.lang.security.audit.dangerous-subprocess-use-tainted-env-args: Detected subprocess function 'Popen' with user controlled data. A malicious actor could leverage this to perform command injection. You may consider using 'shlex.quote()'. [confidence medium] beat.py:349
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] buddy-cli:22
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] phone.py:39
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] Sources/Model.swift:521
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] Sources/Model.swift:529
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] Sources/Window.swift:497
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] Sources/Window.swift:535
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] Sources/Window.swift:547
medium zizmor/artipacked: credential persistence through GitHub Actions artifacts [confidence low] .github/workflows/ci.yml:8
medium zizmor/excessive-permissions: overly broad permissions [confidence medium] .github/workflows/ci.yml:5

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.

Repository profile

  • Source lines: 10,397; test lines: 215
Language Lines
Swift 8,146
Kotlin 1,311
Python 999
Shell 156