AI Slop Code RIsk Monitor

GMOogway/shadowrocket-rules

小火箭规则🚀,小火箭模块,小火箭配置,shadowrocket规则,shadowrocket rules,最全面的直连(DIRECT)、代理(PROXY)、屏蔽(REJECT)规则,自动构建,每日更新

69.0 High pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for GMOogway/shadowrocket-rules with 5,578 GitHub stars. SynthScan examined 587 lines of code across 10 source files, recording 14 pattern matches distributed across 2 syntactic categories. The legacy adjusted pattern signal is 69.0 (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.

69.0
Adjusted Signal
69.0
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
5.6K
Stars
—
Language
587
Lines of Code
10
Files
14
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 40.0/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 6 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 0 finding(s).

Agent Over-Engineering Ratio 94.7/100 · CRITICAL

Are wrappers, guards, and repeated structures necessary? 8 finding(s).

PR Review Velocity Impact 92.2/100 · CRITICAL

Which changes need focused human review? 14 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 8LOW 6

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 14 distinct pattern matches across 2 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 Separators8 hits · 34 pts
SeverityFileLineSnippetContext
MEDIUM⚡docs/01.shadowrocket_configure.md55# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md65# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md71# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md76# ----------COMMENT
MEDIUMdocs/01.shadowrocket_configure.md96# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md109# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md113# ----------COMMENT
MEDIUM⚡docs/01.shadowrocket_configure.md116# ----------COMMENT
Over-Commented Block6 hits · 6 pts
SeverityFileLineSnippetContext
LOWdocs/01.shadowrocket_configure.md21# 不开启时,REJECT策略默认只有在配置模式下生效。开启后,可以令该策略在其他全局路由模式下都生效。COMMENT
LOWdocs/01.shadowrocket_configure.md41# 节点名称=http,地址,端口,用户,密码COMMENT
LOWdocs/01.shadowrocket_configure.md61# 筛选排除节点名称含有关键词A或B的节点:COMMENT
LOWdocs/01.shadowrocket_configure.md81# DOMAIN-KEYWORD:匹配请求域名的关键词。如“DOMAIN-KEYWORD,exa,DIRECT”可以匹配到“a.example.com、a.b.example.com”。COMMENT
LOWdocs/01.shadowrocket_configure.md101# REJECT-DICT:拒绝。返回HTTP状态码200,内容为空的JSON对象。COMMENT
LOWdocs/01.shadowrocket_configure.md181[MITM]COMMENT