AI Slop Code Risk Monitor

yuin/goldmark

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

:trophy: The Golden Swiss Army Knife for markdown processing. 100% CommonMark compliant, AST w/ CST, Extensible, Fast, CJK-friendly.

1.0 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for yuin/goldmark, a Go project with 5,084 GitHub stars. SynthScan examined 62,929 lines of code across 146 source files, recording 50 pattern matches distributed across 4 syntactic categories. The legacy adjusted pattern signal is 1.0 (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.

1.0
Adjusted Signal
1.0
Raw Pattern Score
100%
Time Factor
2026-10-31
Last Push
5.1K
Stars
Go
Language
62.9K
Lines of Code
146
Files
50
Pattern Hits
2026-10-31
Scan Date
0.01
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 2.7/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 26 finding(s).

Hallucinated Dependency & Supply Chain Risk 2.0/100 · LOW

Are imports declared and package/API names verified? 24 finding(s).

Agent Over-Engineering Ratio 0.0/100 · LOW

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

PR Review Velocity Impact 4.3/100 · LOW

Which changes need focused human review? 50 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 1MEDIUM 0LOW 49

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 50 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.

Fake / Example Data24 hits · 26 pts
SeverityFileLineSnippetContext
LOWextension/testdata/definition_list.txt92: This is a definition with two paragraphs. Lorem ipsumCODE
LOWextension/testdata/definition_list.txt93 dolor sit amet, consectetuer adipiscing elit. AliquamCODE
LOWextension/testdata/definition_list.txt117<p>This is a definition with two paragraphs. Lorem ipsumCODE
LOWextension/testdata/definition_list.txt118dolor sit amet, consectetuer adipiscing elit. AliquamCODE
LOW_benchmark/go/testdata/commonmark-spec.md9399 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/go/testdata/commonmark-spec.md9458> Lorem ipsum dolorCODE
LOW_benchmark/go/testdata/commonmark-spec.md9473> Lorem ipsum dolorCODE
LOW_benchmark/go/testdata/commonmark-spec.md9485 "Lorem ipsum dolor"CODE
LOW_benchmark/go/testdata/commonmark-spec.md9501 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/go/testdata/commonmark-spec.md9519 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/go/testdata/commonmark-spec.md9541 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/go/testdata/commonmark-spec.md9564 str "Lorem ipsum dolor"CODE
LOW⚡_benchmark/go/testdata/cmark-samples/lorem1.md1Lorem ipsum dolor sit amet, __consectetur__ adipiscing elit. Cras imperdiet nec erat ac condimentum. Nulla vel rutrum liCODE
LOW⚡_benchmark/go/testdata/cmark-samples/lorem1.md1Lorem ipsum dolor sit amet, __consectetur__ adipiscing elit. Cras imperdiet nec erat ac condimentum. Nulla vel rutrum liCODE
LOW⚡_benchmark/go/testdata/cmark-samples/lorem1.md7Suspendisse potenti. Donec ante velit, ornare at augue quis, tristique laoreet sem. Etiam in ipsum elit. Nullam cursus dCODE
LOW⚡_benchmark/go/testdata/cmark-samples/lorem1.md7Suspendisse potenti. Donec ante velit, ornare at augue quis, tristique laoreet sem. Etiam in ipsum elit. Nullam cursus dCODE
LOW_benchmark/cmark/_data.md9399 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/cmark/_data.md9458> Lorem ipsum dolorCODE
LOW_benchmark/cmark/_data.md9473> Lorem ipsum dolorCODE
LOW_benchmark/cmark/_data.md9485 "Lorem ipsum dolor"CODE
LOW_benchmark/cmark/_data.md9501 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/cmark/_data.md9519 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/cmark/_data.md9541 "Lorem ipsum dolor\nsit amet."CODE
LOW_benchmark/cmark/_data.md9564 str "Lorem ipsum dolor"CODE
Over-Commented Block17 hits · 17 pts
SeverityFileLineSnippetContext
LOWtestdata/options-auto-heading-id.txt11COMMENT
LOWtestdata/options-auto-heading-id.txt413COMMENT
LOWtestdata/options-auto-heading-id.txt81# Test ## {data-attr="&quot; &amp; &#39; &#x27;"}COMMENT
LOWextension/table.go321 }),COMMENT
LOWextension/table.go421}COMMENT
LOWextension/table.go441COMMENT
LOWutil/util.go141// If the line contains tab characters, paddings may be not zero.COMMENT
LOWparser/list.go161 if util.IsBlank(line) {COMMENT
LOWparser/parser.go661// A Parser interface parses Markdown text into AST nodes.COMMENT
LOWparser/parser.go681 // Open parses the current line and returns a result of parsing.COMMENT
LOWparser/parser.go721 // Halfspaces triggers this parser when character is any spaces characters orCOMMENT
LOWparser/parser.go1141COMMENT
LOWparser/parser.go1521//COMMENT
LOWparser/parser.go1541// Paragraph transformers:COMMENT
LOWast/ast.go101 // If target is not a child of this node, ReplaceChild appends insertee to theCOMMENT
LOWtext/value.go661 // Padding is a padding length of the segment.COMMENT
LOW_benchmark/go/testdata/cmark-samples/block-heading.md1# headingCOMMENT
Structural Annotation Overuse8 hits · 12 pts
SeverityFileLineSnippetContext
LOWREADME.md751### Step 1: Define AST nodesCOMMENT
LOWREADME.md827### Step 2: Write a parserCOMMENT
LOWREADME.md961### Step 3: Write a rendererCOMMENT
LOWREADME.md1065### Step 4: Package as extensionsCOMMENT
LOW…sion-v1-to-v2/references/how-to-create-an-extension.md42### Step 1: Define AST nodesCOMMENT
LOW…sion-v1-to-v2/references/how-to-create-an-extension.md118### Step 2: Write a parserCOMMENT
LOW…sion-v1-to-v2/references/how-to-create-an-extension.md252### Step 3: Write a rendererCOMMENT
LOW…sion-v1-to-v2/references/how-to-create-an-extension.md356### Step 4: Package as extensionsCOMMENT
Synthetic Comment Markers1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHCONTRIBUTING.md68There have also been many submissions that were essentially **AI slop**: large amounts of low-value, unnecessary, or pooCODE