AI Slop Code RIsk Monitor

frenck/awesome-home-assistant

A curated list of amazingly awesome Home Assistant resources.

5.3 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for frenck/awesome-home-assistant, a Python project with 8,527 GitHub stars. SynthScan examined 4,181 lines of code across 39 source files, recording 14 pattern matches distributed across 5 syntactic categories. The legacy adjusted pattern signal is 5.3 (Moderate pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

5.3
Adjusted Signal
5.3
Raw Pattern Score
100%
Time Factor
2026-10-09
Last Push
8.5K
Stars
Python
Language
4.2K
Lines of Code
39
Files
14
Pattern Hits
2026-10-12
Scan Date
0.03
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 3.5/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 3 finding(s).

Hallucinated Dependency & Supply Chain Risk 5.8/100 · LOW

Are imports declared and package/API names verified? 5 finding(s).

Agent Over-Engineering Ratio 15.4/100 · LOW

Are wrappers, guards, and repeated structures necessary? 6 finding(s).

PR Review Velocity Impact 24.1/100 · LOW

Which changes need focused human review? 14 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 1MEDIUM 2LOW 11

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 14 distinct pattern matches across 5 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Decorative Section Separators2 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMscripts/build.sh2# ==============================================================================COMMENT
MEDIUMscripts/build.sh5# ==============================================================================COMMENT
Unused Imports5 hits · 5 pts
SeverityFileLineSnippetContext
LOWscripts/update_stars.py25CODE
LOWscripts/update_youtube_subs.py35CODE
LOWscripts/check_activity.py32CODE
LOWscripts/_hacs.py13CODE
LOWscripts/check_listing.py14CODE
Empty Error Handlers1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHscripts/check_listing.py315except Exception:CODE
Excessive Try-Catch Wrapping3 hits · 3 pts
SeverityFileLineSnippetContext
LOWscripts/update_stars.py126 except Exception as e:CODE
LOWscripts/check_activity.py146 except Exception as e:CODE
LOWscripts/check_listing.py315 except Exception:CODE
Deep Nesting3 hits · 3 pts
SeverityFileLineSnippetContext
LOWscripts/update_stars.py82CODE
LOWscripts/check_activity.py84CODE
LOWscripts/check_listing.py268CODE