AI Slop Code Risk Monitor

microsoft/AI-For-Beginners

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

12 Weeks, 24 Lessons, AI for All!

0.5 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for microsoft/AI-For-Beginners, a Jupyter Notebook project with 70,395 GitHub stars. SynthScan examined 364,914 lines of code across 3933 source files, recording 105 pattern matches distributed across 7 syntactic categories. The legacy adjusted pattern signal is 0.5 (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.

0.5
Adjusted Signal
0.5
Raw Pattern Score
100%
Time Factor
2026-10-23
Last Push
70.4K
Stars
Jupyter Notebook
Language
364.9K
Lines of Code
3.9K
Files
105
Pattern Hits
2026-10-31
Scan Date
0.00
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 2.3/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 85 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.1/100 · LOW

Are imports declared and package/API names verified? 9 finding(s).

Agent Over-Engineering Ratio 0.2/100 · LOW

Are wrappers, guards, and repeated structures necessary? 11 finding(s).

PR Review Velocity Impact 3.1/100 · LOW

Which changes need focused human review? 105 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 0MEDIUM 63LOW 42

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 105 distinct pattern matches across 7 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.

Modern AI Meta-Vocabulary56 hits · 112 pts
SeverityFileLineSnippetContext
MEDIUMlessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/sl/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/sk/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ur/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/sw/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/pl/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/vi/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/sv/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/he/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ms/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/km/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/da/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/mr/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/no/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/ja/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/el/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/it/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/cs/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/te/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ru/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/tl/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ro/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUM…anslations/zh-CN/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/uk/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/sr/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/pcm/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/pa/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUM…anslations/pt-PT/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ml/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/kn/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUM…anslations/zh-TW/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/my/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/ar/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/hr/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUM…anslations/pt-BR/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/hu/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/nl/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/bg/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/bn/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/ne/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/hi/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/de/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/ko/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/fi/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/id/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/fr/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/es/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/et/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/en/lessons/5-NLP/20-LangModels/README.md39| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/fa/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/lt/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUM…anslations/zh-HK/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/ta/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUM…anslations/zh-MO/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
MEDIUMtranslations/th/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT 3](https://openai.com/research/lanCODE
MEDIUMtranslations/tr/lessons/5-NLP/20-LangModels/README.md30| [GPT-2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) | [GPT-3](https://openai.com/research/lanCODE
Verbosity Indicators13 hits · 27 pts
SeverityFileLineSnippetContext
LOW⚡examples/04-text-sentiment.py192 # Step 1: Create training dataCOMMENT
LOW⚡examples/04-text-sentiment.py197 # Step 2: Create and train analyzerCOMMENT
LOW⚡examples/04-text-sentiment.py202 # Step 3: Test on new reviewsCOMMENT
LOWexamples/01-hello-ai-world.py90 # Step 1: Create training dataCOMMENT
LOW⚡examples/01-hello-ai-world.py103 # Step 2: Create and train our AICOMMENT
LOW⚡examples/01-hello-ai-world.py108 # Step 3: Test our AI with new dataCOMMENT
LOW⚡examples/02-simple-neural-network.py94 # Step 1: Multiply each input by its weight and sum themCOMMENT
LOW⚡examples/02-simple-neural-network.py97 # Step 2: Add biasCOMMENT
LOW⚡examples/02-simple-neural-network.py100 # Step 3: Apply activation function (sigmoid)COMMENT
LOWexamples/02-simple-neural-network.py197 # Step 1: Generate training dataCOMMENT
LOW⚡examples/02-simple-neural-network.py209 # Step 2: Create neuronCOMMENT
LOW⚡examples/02-simple-neural-network.py215 # Step 3: Train the neuronCOMMENT
LOWexamples/02-simple-neural-network.py237 # Step 4: Test the neuronCOMMENT
Structural Annotation Overuse13 hits · 27 pts
SeverityFileLineSnippetContext
LOW⚡examples/04-text-sentiment.py192 # Step 1: Create training dataCOMMENT
LOW⚡examples/04-text-sentiment.py197 # Step 2: Create and train analyzerCOMMENT
LOW⚡examples/04-text-sentiment.py202 # Step 3: Test on new reviewsCOMMENT
LOWexamples/01-hello-ai-world.py90 # Step 1: Create training dataCOMMENT
LOW⚡examples/01-hello-ai-world.py103 # Step 2: Create and train our AICOMMENT
LOW⚡examples/01-hello-ai-world.py108 # Step 3: Test our AI with new dataCOMMENT
LOW⚡examples/02-simple-neural-network.py94 # Step 1: Multiply each input by its weight and sum themCOMMENT
LOW⚡examples/02-simple-neural-network.py97 # Step 2: Add biasCOMMENT
LOW⚡examples/02-simple-neural-network.py100 # Step 3: Apply activation function (sigmoid)COMMENT
LOWexamples/02-simple-neural-network.py197 # Step 1: Generate training dataCOMMENT
LOW⚡examples/02-simple-neural-network.py209 # Step 2: Create neuronCOMMENT
LOW⚡examples/02-simple-neural-network.py215 # Step 3: Train the neuronCOMMENT
LOWexamples/02-simple-neural-network.py237 # Step 4: Test the neuronCOMMENT
Excessive Try-Catch Wrapping11 hits · 17 pts
SeverityFileLineSnippetContext
MEDIUMetc/quiz-src/qzmkjson.py41 print(f"Error: {l}")CODE
LOWexamples/04-text-sentiment.py249 except Exception as e:CODE
MEDIUMexamples/04-text-sentiment.py250 print(f"Error: {e}")CODE
LOWlessons/4-ComputerVision/07-ConvNets/pytorchcv.py137 except Exception:CODE
MEDIUMlessons/4-ComputerVision/07-ConvNets/pytorchcv.py132def check_image(fn):CODE
LOWlessons/4-ComputerVision/07-ConvNets/tfcv.py51 except Exception:CODE
MEDIUMlessons/4-ComputerVision/07-ConvNets/tfcv.py46def check_image(fn):CODE
LOW…sons/4-ComputerVision/08-TransferLearning/pytorchcv.py137 except Exception:CODE
MEDIUM…sons/4-ComputerVision/08-TransferLearning/pytorchcv.py132def check_image(fn):CODE
LOWlessons/4-ComputerVision/08-TransferLearning/tfcv.py51 except Exception:CODE
MEDIUMlessons/4-ComputerVision/08-TransferLearning/tfcv.py46def check_image(fn):CODE
Unused Imports9 hits · 9 pts
SeverityFileLineSnippetContext
LOWetc/quiz-src/qzmkjson.py7CODE
LOWlessons/5-NLP/16-RNN/torchnlp.py1CODE
LOWlessons/5-NLP/16-RNN/torchnlp.py5CODE
LOWlessons/5-NLP/14-Embeddings/torchnlp.py1CODE
LOWlessons/5-NLP/14-Embeddings/torchnlp.py5CODE
LOWlessons/5-NLP/17-GenerativeNetworks/torchnlp.py1CODE
LOWlessons/5-NLP/17-GenerativeNetworks/torchnlp.py5CODE
LOWlessons/5-NLP/18-Transformers/torchnlp.py1CODE
LOWlessons/5-NLP/18-Transformers/torchnlp.py5CODE
Slop Phrases1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUM.github/workflows/codeql.yml58 # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize howCOMMENT
Over-Commented Block2 hits · 2 pts
SeverityFileLineSnippetContext
LOW.github/workflows/codeql.yml1# For most projects, this workflow file will not need changing; you simply needCOMMENT
LOW.github/workflows/scorecard.yml41 with:COMMENT