AI Slop Code RIsk Monitor

The-Swarm-Corporation/AutoHedge

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

17.0 Elevated pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for The-Swarm-Corporation/AutoHedge, a Python project with 6,254 GitHub stars. SynthScan examined 3,213 lines of code across 46 source files, recording 42 pattern matches distributed across 10 syntactic categories. The legacy adjusted pattern signal is 17.0 (Elevated 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.

17.0
Adjusted Signal
17.0
Raw Pattern Score
100%
Time Factor
2026-05-11
Last Push
6.3K
Stars
Python
Language
3.2K
Lines of Code
46
Files
42
Pattern Hits
2026-10-12
Scan Date
0.07
HC Hit Rate

Risk Review · v3

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

Cognitive Ownership Risk 19.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 8 finding(s).

Hallucinated Dependency & Supply Chain Risk 13.1/100 · LOW

Are imports declared and package/API names verified? 9 finding(s).

Agent Over-Engineering Ratio 39.7/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 26 finding(s).

PR Review Velocity Impact 58.8/100 · HIGH

Which changes need focused human review? 42 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 3MEDIUM 0LOW 39

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 42 distinct pattern matches across 10 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.

Excessive Try-Catch Wrapping21 hits · 20 pts
SeverityFileLineSnippetContext
LOWexperimental/market_making.py119 except Exception as e:CODE
LOWexperimental/market_making.py143 except Exception as inner_e:CODE
LOWexperimental/market_making.py292 except Exception as e:CODE
LOWexperimental/btc_agent.py135 except Exception as e:CODE
LOWexperimental/btc_agent.py182 except Exception as e:CODE
LOWautohedge/cli.py27except Exception:CODE
LOWautohedge/cli.py59 except Exception:STRING
LOWautohedge/cli.py71 except Exception:STRING
LOWautohedge/cli.py185 except Exception as e:STRING
LOWautohedge/main.py61 except Exception as e:CODE
LOWautohedge/tools/exa_search_tool.py102 except Exception as e:CODE
LOWautohedge/tools/ultra_tools.py64 except Exception as e:CODE
LOWautohedge/tools/ultra_tools.py202 except Exception as e:CODE
LOWautohedge/tools/ultra_tools.py209 except Exception as e:CODE
LOWautohedge/tools/yahoo_api.py40 except Exception:CODE
LOWautohedge/tools/yahoo_api.py63 except Exception as e:CODE
LOWautohedge/tools/yahoo_api.py94 except Exception:CODE
LOWautohedge/tools/yahoo_api.py119 except Exception as e:CODE
LOWautohedge/tools/yahoo_api.py160 except Exception as e:CODE
LOWautohedge/tools/yahoo_api.py191 except Exception as e:CODE
LOWautohedge/tools/yahoo_api.py249 except Exception as e:CODE
Empty Error Handlers2 hits · 10 pts
SeverityFileLineSnippetContext
HIGHautohedge/cli.py71except Exception:CODE
HIGHautohedge/tools/yahoo_api.py24except ImportError:CODE
Unused Imports9 hits · 9 pts
SeverityFileLineSnippetContext
LOWautohedge/__init__.py5CODE
LOWautohedge/tools/__init__.py1CODE
LOWautohedge/tools/__init__.py1CODE
LOWautohedge/tools/__init__.py1CODE
LOWautohedge/tools/__init__.py6CODE
LOWautohedge/tools/__init__.py7CODE
LOWautohedge/tools/__init__.py8CODE
LOWautohedge/tools/__init__.py8CODE
LOWautohedge/tools/__init__.py8CODE
Docstring Block Structure1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHautohedge/tools/exa_search_tool.py11 Exa Web Search Tool This function provides advanced, natural language web search capabilities using the ExSTRING
Redundant / Tautological Comments2 hits · 3 pts
SeverityFileLineSnippetContext
LOWexperimental/btc_agent.py98 # Check if this is a transaction messageCOMMENT
LOWexperimental/btc_agent.py102 # Check if transaction involves our monitored addressCOMMENT
Example Usage Blocks2 hits · 3 pts
SeverityFileLineSnippetContext
LOWexperimental/btc_agent.py228 # Example usageCOMMENT
LOWexperimental/crypto_agent_wrapper.py45# # Example usageCOMMENT
Modern Structural Boilerplate2 hits · 2 pts
SeverityFileLineSnippetContext
LOWautohedge/__init__.py7__all__ = ["AutoHedge"]CODE
LOWautohedge/tools/__init__.py14__all__ = [CODE
Over-Commented Block1 hit · 1 pts
SeverityFileLineSnippetContext
LOWexperimental/crypto_agent_wrapper.py41 )COMMENT
Deep Nesting1 hit · 1 pts
SeverityFileLineSnippetContext
LOWautohedge/tools/yahoo_api.py68CODE
AI Structural Patterns1 hit · 1 pts
SeverityFileLineSnippetContext
LOWautohedge/tools/polygon_api.py75CODE