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AI Slop Code Risk Monitor

sadmann7/tablecn

SlopCodeMonitor badge for sadmann7/tablecn Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).
0.9 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for sadmann7/tablecn. SynthScan examined 86,843 lines of code across 322 source files, recording 26 pattern matches distributed across 3 syntactic categories. The legacy adjusted pattern signal is 0.9 (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.

0.9
Adjusted Signal
0.9
Raw Pattern Score
100%
Time Factor
—
Last Push
—
Stars
—
Language
86.8K
Lines of Code
322
Files
26
Pattern Hits
2026-10-31
Scan Date
0.02
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 1.1/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 19 finding(s).

Hallucinated Dependency & Supply Chain Risk 3.5/100 · LOW

Are imports declared and package/API names verified? 7 finding(s).

Agent Over-Engineering Ratio 1.1/100 · LOW

Are wrappers, guards, and repeated structures necessary? 19 finding(s).

PR Review Velocity Impact 4.5/100 · LOW

Which changes need focused human review? 26 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

Run additional scans to build a history of the legacy pattern signal. Score changes are not a measure of AI adoption or code quality.

No multi-scan history yet — run the scanner again to build trend data.

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 6HIGH 0MEDIUM 0LOW 20

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 26 distinct pattern matches across 3 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.

Hallucination Indicators6 hits · 60 pts
SeverityFileLineSnippetContext
CRITICALsrc/hooks/test/use-data-grid.test.tsx1252 expect(result.current.table.atoms.undoRedo.get()).toEqual({CODE
CRITICALsrc/hooks/test/use-data-grid.test.tsx4190 const rowSelection = result.current.table.atoms.rowSelection.get();CODE
CRITICALsrc/hooks/test/use-data-grid.test.tsx4224 const rowSelection = result.current.table.atoms.rowSelection.get();CODE
CRITICALsrc/hooks/test/use-data-grid.test.tsx4249 const rowSelection = result.current.table.atoms.rowSelection.get();CODE
CRITICALsrc/hooks/test/use-data-grid.test.tsx4276 const rowSelection = result.current.table.atoms.rowSelection.get();CODE
CRITICALsrc/hooks/test/use-data-grid.test.tsx5400 expect(result.current.table.atoms.columnPinning.get().start).toEqual([CODE
Hyper-Verbose Identifiers19 hits · 19 pts
SeverityFileLineSnippetContext
LOW…tiplayer/components/data-grid-multiplayer-skeleton.tsx7export function DataGridMultiplayerSkeleton() {CODE
LOW…table-launch/components/data-table-launch-director.tsx43export function useDataTableLaunchDirector() {CODE
LOW…table-launch/components/data-table-launch-director.tsx265function DataTableLaunchCursorOverlay({CODE
LOW…ata-table-launch/components/data-table-launch-demo.tsx212function DataTableLaunchSceneFrame(props: DataTableLaunchSceneFrameProps) {CODE
LOW…ata-table-launch/components/data-table-launch-demo.tsx263function DataTableLaunchSceneContent({CODE
LOW…ata-table-launch/components/data-table-launch-demo.tsx281function DataTableLaunchColumnsStory({CODE
LOW…a-table-launch/components/data-table-launch-scenes.tsx22export function DataTableLaunchIntroScene() {CODE
LOW…a-table-launch/components/data-table-launch-scenes.tsx144export function DataTableLaunchOutroScene() {CODE
LOW…a-table-launch/hooks/use-data-table-launch-timeline.ts43export function useDataTableLaunchTimeline(CODE
LOWsrc/app/components/tasks-table-action-bar.tsx42function TasksTableActionBarContent({ table }: TasksTableActionBarProps) {CODE
LOWsrc/app/components/tasks-table-control-menu.tsx80function TasksTableControlMenuSkeleton() {CODE
LOW…p/data-grid/components/people-data-grid-action-bar.tsx41function PeopleDataGridActionBarImpl({ table }: PeopleDataGridActionBarProps) {CODE
LOWsrc/hooks/use-multiplayer-room.ts195function getOrCreateIdentity(): Identity {CODE
LOW…/components/data-grid/data-grid-keyboard-shortcuts.tsx42function DataGridKeyboardShortcutsImpl({CODE
LOW…/components/data-grid/data-grid-keyboard-shortcuts.tsx42function DataGridKeyboardShortcutsImpl({CODE
LOWsrc/lib/data-grid-filters.ts89export function getFilterValueForOperator(CODE
LOWsrc/lib/data-grid-row-models.ts545function getUpdatedUnfilteredCache(CODE
LOWsrc/lib/data-table-utils.ts376export function getValidRangeFilterBounds(CODE
LOWsrc/lib/data-table-utils.ts548function getFilterValueStringifier(CODE
Fake / Example Data1 hit · 1 pts
SeverityFileLineSnippetContext
LOWsrc/app/data-grid/lib/worst-case.ts144 email: "noor.abdelrahman@example.org",CODE