AI Slop Code RIsk Monitor

xingpingcn/enhanced-FaaS-in-China

提升部署在cloudflare、vercel或netlify的网页在中国的访问速度和稳定性 cf优选域名 | cf优选ip | cloudflare | vercel | netlify | 加速 | 国内 | 中国 | 境内 | 大陆

31.8 High pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for xingpingcn/enhanced-FaaS-in-China, a Python project with 3,103 GitHub stars. SynthScan examined 1,684 lines of code across 19 source files, recording 39 pattern matches distributed across 5 syntactic categories. The legacy adjusted pattern signal is 31.8 (High 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.

31.8
Adjusted Signal
31.8
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
3.1K
Stars
Python
Language
1.7K
Lines of Code
19
Files
39
Pattern Hits
2026-10-12
Scan Date
0.16
HC Hit Rate

Risk Review · v3

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

Cognitive Ownership Risk 36.9/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 15 finding(s).

Hallucinated Dependency & Supply Chain Risk 34.0/100 · MEDIUM

Are imports declared and package/API names verified? 14 finding(s).

Agent Over-Engineering Ratio 66.2/100 · HIGH

Are wrappers, guards, and repeated structures necessary? 22 finding(s).

PR Review Velocity Impact 81.0/100 · CRITICAL

Which changes need focused human review? 39 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 3MEDIUM 1LOW 35

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 39 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.

Empty Error Handlers3 hits · 15 pts
SeverityFileLineSnippetContext
HIGHdb.py70except IntegrityError:CODE
HIGHdb.py80except IntegrityError:CODE
HIGHdb.py111except:CODE
Unused Imports14 hits · 14 pts
SeverityFileLineSnippetContext
LOWmain.py2CODE
LOWset_DNS_record_to_HWcloud.py5CODE
LOWplatforms_to_test/cf.py4CODE
LOWplatforms_to_test/cf.py4CODE
LOWplatforms_to_test/cf.py5CODE
LOWplatforms_to_test/__init__.py1CODE
LOWplatforms_to_test/__init__.py2CODE
LOWplatforms_to_test/__init__.py3CODE
LOWplatforms_to_test/base_platform.py5CODE
LOWplatforms_to_test/base_platform.py6CODE
LOWplatforms_to_test/base_platform.py7CODE
LOWplatforms_to_test/base_platform.py8CODE
LOWplatforms_to_test/base_platform.py12CODE
LOWplatforms_to_test/base_platform.py14CODE
Hyper-Verbose Identifiers12 hits · 12 pts
SeverityFileLineSnippetContext
LOW⚡db.py74 async def just_refresh_last_test_time(self,isp:str,a_record:str):CODE
LOWdb.py149 async def get_now_down_but_alive_record(self, isp:str, limit:int = 10, offset:int = 0):CODE
LOWdb.py164 async def get_about_to_revive_record(self, isp:str, limit:int = 10, offset:int = 0):CODE
LOWset_DNS_record_to_HWcloud.py132 async def create_cname_record_with_batch_lines(self, subdomain, answer_dict: dict):CODE
LOWset_DNS_record_to_HWcloud.py149 async def update_batch_record_with_line(self, subdomain: str, answer_dict: dict):CODE
LOWplatforms_to_test/base_platform.py60 def _update_available_domains(self, current_time=None):CODE
LOWplatforms_to_test/base_platform.py147 async def wait_for_test_domain_available(self, timeout=None):CODE
LOWplatforms_to_test/base_platform.py170 async def wait_for_selected_domain_available(self, timeout=None):CODE
LOWplatforms_to_test/base_platform.py193 async def wait_for_any_domain_available(self, timeout=None):CODE
LOWplatforms_to_test/base_platform.py261 async def _set_domain_available_after_cooldown(self, domain):CODE
LOWplatforms_to_test/base_platform.py292 def is_all_test_domains_in_use(self):CODE
LOWplatforms_to_test/base_platform.py300 def is_all_selected_domains_in_use(self):CODE
Excessive Try-Catch Wrapping7 hits · 9 pts
SeverityFileLineSnippetContext
LOWdb.py58 except Exception as e:CODE
LOW⚡db.py72 except Exception as e:CODE
LOW⚡db.py82 except Exception as e:CODE
LOWdb.py101 except Exception as e:CODE
LOWplatforms_to_test/base_platform.py388 except Exception as e:CODE
LOWplatforms_to_test/base_platform.py554 except Exception as e:CODE
MEDIUMplatforms_to_test/base_platform.py538def run_crawler(test_url, test_ip, test_isps):CODE
Deep Nesting3 hits · 3 pts
SeverityFileLineSnippetContext
LOWplatforms_to_test/base_platform.py435CODE
LOWplatforms_to_test/base_platform.py575CODE
LOWplatforms_to_test/base_platform.py455CODE