AI Slop Code Risk Monitor

charmbracelet/bubbletea

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

A powerful little TUI framework 🏗

3.4 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for charmbracelet/bubbletea, a Go project with 45,566 GitHub stars. SynthScan examined 17,693 lines of code across 173 source files, recording 57 pattern matches distributed across 4 syntactic categories. The legacy adjusted pattern signal is 3.4 (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.

3.4
Adjusted Signal
3.4
Raw Pattern Score
100%
Time Factor
2026-10-28
Last Push
45.6K
Stars
Go
Language
17.7K
Lines of Code
173
Files
57
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 15.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 57 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 0.0/100 · LOW

Are wrappers, guards, and repeated structures necessary? 0 finding(s).

PR Review Velocity Impact 15.4/100 · LOW

Which changes need focused human review? 57 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 1LOW 56

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 57 distinct pattern matches across 4 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.

Over-Commented Block54 hits · 54 pts
SeverityFileLineSnippetContext
LOWraw.go1package teaCOMMENT
LOWraw.go21// for _, attr := range msg {COMMENT
LOWcolor.go41// String returns the hex representation of the color.COMMENT
LOWcolor.go61// return RequestBackgroundColorCOMMENT
LOWoptions.go41// Note that with input disabled, no terminal query is ever sent, since theCOMMENT
LOWoptions.go101// This can be useful if you want to use the Bubble Tea framework for a non-TUICOMMENT
LOWoptions.go121// func filter(m tea.Model, msg tea.Msg) tea.Msg {COMMENT
LOWtea.go61COMMENT
LOWtea.go81COMMENT
LOWtea.go101 // breaking the unidirectional data flow of Bubble Tea.COMMENT
LOWtea.go121 // }COMMENT
LOWtea.go141 // WindowTitle sets the terminal window title. Support depends on theCOMMENT
LOWtea.go161 ProgramStatus *ProgramStatusCOMMENT
LOWtea.go181 // Note that while most terminals and multiplexers support focus reporting,COMMENT
LOWtea.go201 // receive a [KeyboardEnhancementsMsg] that indicates which features areCOMMENT
LOWtea.go221// Example:COMMENT
LOWtea.go241// case tea.KeyReleaseMsg:COMMENT
LOWtea.go261 ReportEventTypes boolCOMMENT
LOWtea.go281}COMMENT
LOWtea.go301 // MouseModeNone disables mouse events.COMMENT
LOWtea.go461 disableCatchPanics boolCOMMENT
LOWtea.go481 // return nilCOMMENT
LOWtea.go501 // initialModel is the initial model for the program and is the onlyCOMMENT
LOWtea.go581// QuitMsg signals that the program should quit. You can send a [QuitMsg] withCOMMENT
LOWtea.go1221COMMENT
LOWscreen.go21COMMENT
LOWscreen.go41// switch msg := msg.(type) {COMMENT
LOWexec.go21// For non-interactive i/o you should use a Cmd (that is, a tea.Cmd).COMMENT
LOWexec.go41// cmd := ExecProcess(c, func(err error) Msg {COMMENT
LOWkey.go201// convenient and readable to use this method when matching against keys.COMMENT
LOWkey.go221}COMMENT
LOWkey.go261COMMENT
LOWkey.go281//COMMENT
LOWkey.go301// 'A', '1', '!', etc.).COMMENT
LOWkey.go321 //COMMENT
LOWkey.go341 // Console API.COMMENT
LOWkey.go361// - altCOMMENT
LOWmouse.go41 MouseButton11 = uv.MouseButton11COMMENT
LOWmouse.go61// case MouseMsg:COMMENT
LOWcursed_renderer.go181 // so that we can restore them when we start the renderer again. This isCOMMENT
LOWcursed_renderer.go421 // the program exits.COMMENT
LOWcursed_renderer.go561 // 1. Synchronized output updates are supported. In this case, we want toCOMMENT
LOWprogramstatus.go41COMMENT
LOWtermcap.go1package teaCOMMENT
LOWtermcap.go21//COMMENT
LOWenviron.go1package teaCOMMENT
LOWkeyboard.go1package teaCOMMENT
LOWkeyboard.go21 // }COMMENT
LOWcommands.go61// the entire specified duration. For example, if we're ticking for one minuteCOMMENT
LOWcommands.go81// func tickEvery() Cmd {COMMENT
LOWcommands.go121// a message containing the time at which the tick occurred.COMMENT
LOWcommands.go141// func (m model) Init() (Model, Cmd) {COMMENT
LOWclipboard.go61// readPrimaryClipboardMsg is an internal message used to read the primaryCOMMENT
LOWexamples/progress-static/main.go1package mainCOMMENT
AI Slop Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMexamples/keyboard-enhancements/main.go41 // This allows for more nuanced input handling in terminal applications.COMMENT
Example Usage Blocks1 hit · 2 pts
SeverityFileLineSnippetContext
LOWoptions.go14// Example usage:COMMENT
Slop Phrases1 hit · 2 pts
SeverityFileLineSnippetContext
LOWlogging.go15// Don't forget to close the file when you're done with it.COMMENT