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whyhowie/RokuPyRemote

A Python-based Roku remote controller on local network.

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  • Python
  • ★ 0
  • commit 30aab7ed75d7
  • scored 2026-11-14
  • scoring prov-5+qual-2+sec-2

AI provenance

0%

possible

Confidence
42%
Coverage
100%

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

Code quality

51/100

weak

Confidence
90%
Coverage
100%

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

Security

64/100

weak

Confidence
85%
Coverage
100%

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

AI provenance

0% possible

Weak signals consistent with AI-assisted development.

How the score is built

  • Explicitly attributed share0%
  • Unattributed share in AI-pace bursts78%
  • Estimated AI-generated share0%
  • AI tool configuration files0
  • Work sessions at AI pace1
  • Releases at AI pacenot measured
  • Coding-style index (1.0+ means possible)0.50

Lines added per month all AI-attributed share

  1. 2026-051,377 · 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
9
effective_loc
1,377
tools_detected
0
AI tool configurationok
artifacts
0
tools_configured
0
workflow_agents
0
Commit velocityok1 item
excluded_import_loc
0
flagged_loc
1,073
flagged_loc_share
77.9%
flagged_units
1
max_loc_per_hour
677.33
measured_loc
1,377
median_loc_per_hour
376.66
pr_timed_units
0
pre_ai_era_burst_loc
0
pre_ai_era_bursts
0
pre_ai_era_measured_loc
0
work_units
2
Release velocityskipped
Coding styleok
count:assistant_voice
0
count:emoji_in_code
1
count:narrated_steps
0
count:placeholder
0
files:assistant_voice
0
files:emoji_in_code
1
files:narrated_steps
0
files:placeholder
0
index
0.50
lines_scanned
987
per_kloc:assistant_voice
0
per_kloc:emoji_in_code
1
per_kloc:narrated_steps
0
per_kloc:placeholder
0

Code quality

51 weak

Code quality is weak: test-to-source ratio 0.00, no CI test run detected; 0% of function code in complex or long functions; 2% duplicated lines. Weakest area: testing.

How the score is built

  • Complexity100
  • Duplication91
  • Lint and smells22
  • Tests and CI0
  • Documentation65
  • Type safety40
  • Review processnot measured

Evidence by analyzer

Complexity (lizard)ok
complex_functions
0
function_nloc
652
functions
82
long_functions
0
many_param_functions
1
mean_ccn
1.91
p90_ccn
3
risky_nloc_share
0.0%
Duplication (jscpd)ok1 item
compared_lines
770
duplicated_lines
12
duplicated_share
1.6%
files
11
Lintok
category:best-practice
3
category:maintainability
1
findings
4
scanned_lines
987
weighted_findings
6
Tests and CIok
check:ci_present
no
check:ci_runs_lint
no
check:ci_runs_tests
no
check:has_tests
no
check:test_ratio
no
check:tests_cochange
no
ci_files
0
cochange_commits
3
cochange_share
0.0%
source_lines
987
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
yes
readme_lines
44
Type safetyok
check:low_escape_density
yes
check:strict_config
no
escapes
0
escapes_per_kloc
0

Security

64 weak

Security posture is weak: 2 high-severity SAST findings. Weakest area: posture.

How the score is built

  • Secrets100
  • Static analysis (SAST)50
  • Vulnerable dependenciesnot measured
  • CI workflowsnot measured
  • Security posture0
  • 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
4
findings_high
2
findings_low
0
findings_medium
2
parse_errors
0
scanned_lines
987
weighted_findings
2
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
0.0%
unpinned_manifests
0
Release downloadsok1 item
binary_assets
1
signals
1
suspicious
0

Findings

3 high5 medium

SeverityRuleLocationMessageTool
high opengrep/python.lang.best-practice.arbitrary-sleep dev.py:49 time.sleep() call; did you mean to leave this in? Lint
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit dev.py:30 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.use-defused-xml roku_remote/network.py:4 The Python documentation recommends using `defusedxml` instead of `xml` because the native Python `xml` library is vulnerable to XML External Entity (XXE) attacks. These attacks can leak confidential data and "XML bombs" can cause... Static analysis (opengrep)
medium opengrep/python.lang.maintainability.is-function-without-parentheses dev.py:33 Is "is_directory" a function or an attribute? If it is a function, you may have meant event.is_directory() because event.is_directory is always true. Lint
medium opengrep/python.lang.best-practice.unspecified-open-encoding roku_remote/config.py:23 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 roku_remote/config.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.security.audit.dynamic-urllib-use-detected roku_remote/network.py:22 Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control... Static analysis (opengrep)
medium opengrep/python.lang.security.audit.dynamic-urllib-use-detected roku_remote/network.py:45 Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control... 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 provenanceskipped—0
Coding styleAI provenanceok—0
Commit velocityAI provenanceokprov-40
Complexity (lizard)Code qualityoklizard 1.25.10
DocumentationCode qualityok—0
Duplication (jscpd)Code qualityokrepotrust-dup-w60
LintCode qualityokopengrep 1.33.1; rules f1d2b562b4144
Tests and CICode qualityok—0
Type safetyCode qualityok—0
CI workflows (zizmor)Securityskipped—0
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 f1d2b562b4144
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
2026-11-1430aab7ed75d7prov-5+qual-2+sec-20%5164
2026-11-1430aab7ed75d7prov-4+qual-2+sec-20%5164

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Full text report
  • Repository: https://github.com/whyhowie/RokuPyRemote
  • Commit: 30aab7ed75d7b7a477bdff7abb7401992f155e74
  • Generated: 2026-11-14T14:52:08+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 42% 100%
Code quality 51 weak 90% 100%
Security 64 weak 85% 100%

AI provenance

Weak signals consistent with AI-assisted development.

  • Explicitly attributed share (lower bound): 0.0%

  • Unattributed share in AI-consistent velocity bursts: 77.9%

  • Estimated AI-generated share: 0.0%

  • Stylometry index: 0.50 per 1,000 lines (narrated steps 0, placeholders 0, assistant phrasing 0, emoji 1). Reported as a signal, not scored.

Month Lines added Attributed to AI
2026-05 1,377 0%

Evidence

  • 1,073 lines of first-party code in ~1.6h (677 lines/hour, 2 commit session) (b6be0788305e)

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, no CI test run detected; 0% of function code in complex or long functions; 2% duplicated lines. Weakest area: testing.

Area Score
Complexity (lizard) 100
Duplication 91
Code smells (Opengrep) 22
Tests and CI 0
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a
  • Functions: 82; mean complexity 1.9, 90th percentile 3; 0 complex and 0 long functions
  • Duplicated lines: 1.6% of 770 compared
  • Tests: 0 test lines for 987 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
  • Docs missing or thin: contributing, changelog

Security

Security posture is weak: 2 high-severity SAST findings. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 50
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard n/a
  • Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits

Top findings

Severity Finding Location
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] dev.py:30
high opengrep/python.lang.security.use-defused-xml: The Python documentation recommends using defusedxml instead of xml because the native Python xml library is vulnerable to XML External Entity (XXE) attacks. These attacks can leak confidential data and "XML bombs" can cause denial of service. [confidence low] roku_remote/network.py:4
medium opengrep/python.lang.security.audit.dynamic-urllib-use-detected: Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control the URLs, or consider using the 'requests' library instead. [confidence low] roku_remote/network.py:22
medium opengrep/python.lang.security.audit.dynamic-urllib-use-detected: Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control the URLs, or consider using the 'requests' library instead. [confidence low] roku_remote/network.py:45

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

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: 987; test lines: 0
Language Lines
Python 987