AI Slop Code Risk Monitor

microsoft/Data-Science-For-Beginners

SlopCodeMonitor badge for microsoft/Data-Science-For-Beginners Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

10 Weeks, 20 Lessons, Data Science for All!

1.2 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for microsoft/Data-Science-For-Beginners, a Jupyter Notebook project with 37,854 GitHub stars. SynthScan examined 594,499 lines of code across 4092 source files, recording 217 pattern matches distributed across 6 syntactic categories. The legacy adjusted pattern signal is 1.2 (Low 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.

1.2
Adjusted Signal
1.2
Raw Pattern Score
100%
Time Factor
2026-10-21
Last Push
37.9K
Stars
Jupyter Notebook
Language
594.5K
Lines of Code
4.1K
Files
217
Pattern Hits
2026-10-31
Scan Date
0.03
HC Hit Rate

Risk Review · Payload v1

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

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 1.2/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 103 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 0 finding(s).

Agent Over-Engineering Ratio 4.7/100 · LOW

Are wrappers, guards, and repeated structures necessary? 114 finding(s).

PR Review Velocity Impact 6.4/100 · LOW

Which changes need focused human review? 217 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 112MEDIUM 7LOW 98

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 217 distinct pattern matches across 6 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.

Cross-File Repetition112 hits · 560 pts
SeverityFileLineSnippetContext
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HIGHtranslations/sl/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/sk/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ur/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/sw/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/pl/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/vi/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/sv/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/he/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ms/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/km/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/da/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/mr/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/no/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ja/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/el/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/it/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/cs/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/te/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ru/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/tl/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ro/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/zh-CN/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/uk/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/sr/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/pcm/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/pa/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/pt-PT/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ml/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/kn/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/zh-TW/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/my/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ar/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/hr/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/pt-BR/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/hu/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/nl/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/bg/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/bn/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ne/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/hi/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/de/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ko/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/fi/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/id/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/fr/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/es/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/et/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/en/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/fa/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/lt/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/zh-HK/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/ta/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/zh-MO/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/th/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHtranslations/tr/USAGE.md0assignment: [topic] objective: [learning goal] dataset: [provide or have students find one] tasks: 1. load and explore tSTRING
HIGHCONTRIBUTING.md0calculate the mean of a dataset. args: data (list): list of numerical values returns: float: mean of the datasetSTRING
HIGHtranslations/sl/CONTRIBUTING.md0calculate the mean of a dataset. args: data (list): list of numerical values returns: float: mean of the datasetSTRING
HIGHtranslations/sk/CONTRIBUTING.md0calculate the mean of a dataset. args: data (list): list of numerical values returns: float: mean of the datasetSTRING
HIGHtranslations/ur/CONTRIBUTING.md0calculate the mean of a dataset. args: data (list): list of numerical values returns: float: mean of the datasetSTRING
52 more matches not shown…
Over-Commented Block58 hits · 58 pts
SeverityFileLineSnippetContext
LOWINSTALLATION.md141**Linux:**COMMENT
LOWexamples/01_hello_world_data_science.py81# 1. Created a simple dataset (student names and scores)COMMENT
LOWexamples/02_loading_data.py121print("Next step: Try loading other CSV files from the data/ folder!")COMMENT
LOWtranslations/sl/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/sk/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ur/INSTALLATION.md141**لینکس:**COMMENT
LOWtranslations/sw/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/pl/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/vi/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/sv/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/he/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ms/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/km/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/da/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/mr/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/no/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ja/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/el/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/it/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/cs/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/te/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ru/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/tl/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ro/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/zh-CN/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/uk/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/sr/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/pcm/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/pa/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/pt-PT/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ml/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/kn/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/zh-TW/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/my/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ar/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/hr/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/pt-BR/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/hu/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/nl/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/bg/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/bn/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ne/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/hi/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/de/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ko/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/fi/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/id/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/fr/INSTALLATION.md141**Linux :**COMMENT
LOWtranslations/es/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/et/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/en/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/fa/INSTALLATION.md141**لینوکس:**COMMENT
LOWtranslations/lt/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/zh-HK/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/ta/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/zh-MO/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/th/INSTALLATION.md141**Linux:**COMMENT
LOWtranslations/tr/INSTALLATION.md141**Linux:**COMMENT
Structural Annotation Overuse32 hits · 52 pts
SeverityFileLineSnippetContext
LOWINSTALLATION.md40### Step 1: Install GitCOMMENT
LOWINSTALLATION.md65### Step 2: Clone the RepositoryCOMMENT
LOWINSTALLATION.md75### Step 3: Install Python and JupyterCOMMENT
LOWINSTALLATION.md109### Step 4: Set Up Python EnvironmentCOMMENT
LOWINSTALLATION.md125### Step 5: Install Python PackagesCOMMENT
LOWINSTALLATION.md133### Step 6: Install Node.js and npm (For Quiz App)COMMENT
LOWINSTALLATION.md163### Step 7: Install Quiz App DependenciesCOMMENT
LOWINSTALLATION.md176### Step 8: Install Docsify (Optional)COMMENT
LOWexamples/02_loading_data.py25# Step 1: Load data from a CSV fileCOMMENT
LOWexamples/02_loading_data.py38# Step 2: Get basic information about the datasetCOMMENT
LOW⚡examples/02_loading_data.py54# Step 3: Look at the first few rows of dataCOMMENT
LOW⚡examples/02_loading_data.py62# Step 4: Look at the last few rowsCOMMENT
LOW⚡examples/02_loading_data.py69# Step 5: Get information about data typesCOMMENT
LOW⚡examples/02_loading_data.py76# Step 6: Get statistical summaryCOMMENT
LOW⚡examples/02_loading_data.py84# Step 7: Check for missing valuesCOMMENT
LOWexamples/02_loading_data.py99# Step 8: Get unique values in a columnCOMMENT
LOWtranslations/pcm/INSTALLATION.md40### Step 1: Install GitCOMMENT
LOWtranslations/pcm/INSTALLATION.md65### Step 2: Clone di RepositoryCOMMENT
LOWtranslations/pcm/INSTALLATION.md75### Step 3: Install Python and JupyterCOMMENT
LOWtranslations/pcm/INSTALLATION.md109### Step 4: Set Up Python EnvironmentCOMMENT
LOWtranslations/pcm/INSTALLATION.md125### Step 5: Install Python PackagesCOMMENT
LOWtranslations/pcm/INSTALLATION.md133### Step 6: Install Node.js and npm (For Quiz App)COMMENT
LOWtranslations/pcm/INSTALLATION.md163### Step 7: Install Quiz App DependenciesCOMMENT
LOWtranslations/pcm/INSTALLATION.md176### Step 8: Install Docsify (Optional)COMMENT
LOWtranslations/en/INSTALLATION.md40### Step 1: Install GitCOMMENT
LOWtranslations/en/INSTALLATION.md65### Step 2: Clone the RepositoryCOMMENT
LOWtranslations/en/INSTALLATION.md75### Step 3: Install Python and JupyterCOMMENT
LOWtranslations/en/INSTALLATION.md109### Step 4: Set Up Python EnvironmentCOMMENT
LOWtranslations/en/INSTALLATION.md125### Step 5: Install Python PackagesCOMMENT
LOWtranslations/en/INSTALLATION.md133### Step 6: Install Node.js and npm (For Quiz App)COMMENT
LOWtranslations/en/INSTALLATION.md163### Step 7: Install Quiz App DependenciesCOMMENT
LOWtranslations/en/INSTALLATION.md176### Step 8: Install Docsify (Optional)COMMENT
Verbosity Indicators8 hits · 16 pts
SeverityFileLineSnippetContext
LOWexamples/02_loading_data.py25# Step 1: Load data from a CSV fileCOMMENT
LOWexamples/02_loading_data.py38# Step 2: Get basic information about the datasetCOMMENT
LOW⚡examples/02_loading_data.py54# Step 3: Look at the first few rows of dataCOMMENT
LOW⚡examples/02_loading_data.py62# Step 4: Look at the last few rowsCOMMENT
LOW⚡examples/02_loading_data.py69# Step 5: Get information about data typesCOMMENT
LOW⚡examples/02_loading_data.py76# Step 6: Get statistical summaryCOMMENT
LOW⚡examples/02_loading_data.py84# Step 7: Check for missing valuesCOMMENT
LOWexamples/02_loading_data.py99# Step 8: Get unique values in a columnCOMMENT
Self-Referential Comments5 hits · 15 pts
SeverityFileLineSnippetContext
MEDIUMexamples/01_hello_world_data_science.py64# Create a dictionary by pairing students with their scoresCOMMENT
MEDIUMexamples/04_basic_visualization.py51 # Create the figure and axisCOMMENT
MEDIUMexamples/04_basic_visualization.py54 # Create the bar chartCOMMENT
MEDIUMexamples/04_basic_visualization.py92 # Create the line plotCOMMENT
MEDIUMexamples/04_basic_visualization.py129 # Create the pie chartCOMMENT
Decorative Section Separators2 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUM.github/PULL_REQUEST_TEMPLATE/co-op-translator.yml52 # =====================================================================COMMENT
MEDIUM.github/PULL_REQUEST_TEMPLATE/co-op-translator.yml54 # =====================================================================COMMENT