AI Slop Code RIsk Monitor

dimitri/pgloader

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12.6 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for dimitri/pgloader, a Common Lisp project with 6,544 GitHub stars. SynthScan examined 9,280 lines of code across 270 source files, recording 41 pattern matches distributed across 5 syntactic categories. The legacy adjusted pattern signal is 12.6 (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.

12.6
Adjusted Signal
12.6
Raw Pattern Score
100%
Time Factor
2026-09-14
Last Push
6.5K
Stars
Common Lisp
Language
9.3K
Lines of Code
270
Files
41
Pattern Hits
2026-10-12
Scan Date
0.00
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 3.7/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 5 finding(s).

Hallucinated Dependency & Supply Chain Risk 5.0/100 · LOW

Are imports declared and package/API names verified? 8 finding(s).

Agent Over-Engineering Ratio 41.8/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 28 finding(s).

PR Review Velocity Impact 41.3/100 · MEDIUM

Which changes need focused human review? 41 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 0HIGH 0MEDIUM 29LOW 12

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 41 distinct pattern matches across 5 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.

Decorative Section Separators28 hits · 100 pts
SeverityFileLineSnippetContext
MEDIUMclojure/tests/bench/docker-compose.yml2 # ── Source: MariaDB with employees pre-seeded ─────────────────────────────COMMENT
MEDIUMclojure/tests/bench/docker-compose.yml29 # ── Target: PostgreSQL ────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/docker-compose.yml42 # ── Test runner ───────────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py38# ── parsers ───────────────────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py92# ── field accessors (index into 5-tuple) ──────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py101# ── formatting helpers ─────────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py149# ── table builder ─────────────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py172 # ── header ────────────────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py187 # ── per-dataset blocks ────────────────────────────────────────────────────COMMENT
MEDIUMclojure/tests/bench/report.py259# ── entry point ───────────────────────────────────────────────────────────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml18 # ── Unit tests ─────────────────────────────────────────────────────────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml93 # ── Build test-runner Docker image (contains v3 pgloader binary) ───────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml131 # ── Build pgloader v4 JAR ──────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml177 # ── Integration test matrix ────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml187 # ── CSV ────────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml195 # ── COPY ───────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml203 # ── FIXED ──────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml211 # ── DBF ────────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml219 # ── SQLite ─────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml227 # ── MySQL 8.0 ──────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml237 # ── MariaDB ────────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml247 # ── PostgreSQL → PostgreSQL ─────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml255 # ── SQL Server ─────────────────────────────────────────────────────COMMENT
MEDIUM⚡.github/workflows/clojure-integration-tests.yml263 # ── Citus (distributed PostgreSQL) ─────────────────────────────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml299 # ── Build bench MariaDB source image ──────────────────────────────────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml337 # ── Bench: employees + lahman timing comparison (v4 vs v3) ────────────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml438 # ── Bench report: aggregate timing JSON from all four bench jobs ───────────COMMENT
MEDIUM.github/workflows/clojure-integration-tests.yml461 # ── Publish evergreen dev release ─────────────────────────────────────────COMMENT
Fake / Example Data8 hits · 10 pts
SeverityFileLineSnippetContext
LOW⚡test/mysql/my.sql202values('Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque vulputate nisl sapien, vel posuere ex pulvCODE
LOW⚡test/mysql/my.sql202values('Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque vulputate nisl sapien, vel posuere ex pulvCODE
LOW⚡test/mysql/my.sql212Curabitur fermentum rutrum mauris. Cras vestibulum odio ornare ante consequat aliquet. Suspendisse elit lorem, gravida nCODE
LOWtest/mysql/my.sql268In hac habitasse platea dictumst. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla in facilisis metus, ut CODE
LOWtest/mysql/my.sql268In hac habitasse platea dictumst. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla in facilisis metus, ut CODE
LOWclojure/tests/citus/source.sql63(1, 'Acme Corp', 'https://example.com/acme.png', '2017-06-13 16:41:52', '2017-06-13 16:41:52'),CODE
LOWclojure/tests/mysql/mytest/mytest.sql198 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',CODE
LOWclojure/tests/mysql/mytest/mytest.sql198 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',CODE
Over-Commented Block3 hits · 3 pts
SeverityFileLineSnippetContext
LOWclojure/tests/mysql/data/load-datasets.sh21echo "pgloader_mytest loaded successfully"COMMENT
LOWdocs/conf.py1#!/usr/bin/env python3COMMENT
LOWdocs/conf.py61# Add any paths that contain custom static files (such as style sheets) here,COMMENT
Self-Referential Comments1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMdocs/conf.py7# This file is execfile()d with the current directory set to itsCOMMENT
Deep Nesting1 hit · 1 pts
SeverityFileLineSnippetContext
LOWclojure/tests/bench/report.py56CODE