AI Slop Code Risk Monitor

rstudio/cheatsheets

SlopCodeMonitor badge for rstudio/cheatsheets Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

13.0 Moderate pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for rstudio/cheatsheets, a TeX project with 6,440 GitHub stars. SynthScan examined 2,954 lines of code across 57 source files, recording 17 pattern matches distributed across 7 syntactic categories. The legacy adjusted pattern signal is 13.0 (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.

13.0
Adjusted Signal
13.0
Raw Pattern Score
100%
Time Factor
2026-09-10
Last Push
6.4K
Stars
TeX
Language
3.0K
Lines of Code
57
Files
17
Pattern Hits
2026-10-31
Scan Date
0.04
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 46.1/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 15 finding(s).

Hallucinated Dependency & Supply Chain Risk 3.3/100 · LOW

Are imports declared and package/API names verified? 2 finding(s).

Agent Over-Engineering Ratio 3.3/100 · LOW

Are wrappers, guards, and repeated structures necessary? 2 finding(s).

PR Review Velocity Impact 54.9/100 · HIGH

Which changes need focused human review? 17 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 2MEDIUM 10LOW 5

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 17 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.

AI Slop Vocabulary5 hits · 12 pts
SeverityFileLineSnippetContext
LOWrenv/activate.R1096 # if RENV_PROFILE is already set, just use thatCOMMENT
MEDIUM_freeze/html/ml-create-models/execute-results/html.json5 "markdown": "---\ntitle: \"Create models with parsnip :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:CODE
MEDIUM_freeze/html/lubridate/execute-results/html.json5 "markdown": "---\ntitle: \"Dates and times with lubridate :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecCODE
MEDIUM⚡_freeze/html/posit-team/execute-results/html.json5 "markdown": "---\ntitle: \"Posit Team :: Cheatsheet\"\nimage-alt: \"\"\nengine: knitr\nexecute:\n eval: false\n ouCODE
MEDIUM⚡_freeze/html/posit-team/execute-results/html.json5 "markdown": "---\ntitle: \"Posit Team :: Cheatsheet\"\nimage-alt: \"\"\nengine: knitr\nexecute:\n eval: false\n ouCODE
AI Response Leakage2 hits · 10 pts
SeverityFileLineSnippetContext
HIGH_freeze/html/tidyr/execute-results/html.json5 "markdown": "---\ntitle: \"Data tidying with tidyr :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:\n CODE
HIGH_freeze/html/purrr/execute-results/html.json5 "markdown": "---\ntitle: \"Apply functions with purrr :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:CODE
Self-Referential Comments3 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMhtml/plumber_files/execute-results/html.json5 "markdown": "---\ntitle: \"REST APIs with plumber :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:\n CODE
MEDIUM_freeze/html/keras/execute-results/html.json5 "markdown": "---\ntitle: \"Deep Learning with Keras :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:\nCODE
MEDIUM_freeze/html/plumber/execute-results/html.json5 "markdown": "---\ntitle: \"REST APIs with plumber :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:\n CODE
Slop Phrases2 hits · 5 pts
SeverityFileLineSnippetContext
MEDIUM_freeze/html/nlp-with-llms/execute-results/html.json5 "markdown": "---\ntitle: \"Natural Language Processing using LLMs in R & Python :: Cheatsheet\"\ndescription: \" \"\CODE
MEDIUM⚡_freeze/html/posit-team/execute-results/html.json5 "markdown": "---\ntitle: \"Posit Team :: Cheatsheet\"\nimage-alt: \"\"\nengine: knitr\nexecute:\n eval: false\n ouCODE
Unused Imports2 hits · 2 pts
SeverityFileLineSnippetContext
LOWhtml/python.py1CODE
LOWmisc-code/python.py1CODE
Modern AI Meta-Vocabulary1 hit · 2 pts
SeverityFileLineSnippetContext
MEDIUM…eze/html/package-development/execute-results/html.json5 "markdown": "---\ntitle: \"Package Development :: Cheatsheet\"\ndescription: \" \"\nimage-alt: \"\"\nexecute:\n evaCODE
Hyper-Verbose Identifiers2 hits · 2 pts
SeverityFileLineSnippetContext
LOW_freeze/site_libs/quarto-listing/quarto-listing.js118function refreshPaginationHandlers(listingId) {CODE
LOW_freeze/site_libs/quarto-listing/quarto-listing.js132function renderVisibleProgressiveImages(list) {CODE