AI Slop Code RIsk Monitor

EvanLi/Github-Ranking

:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新

6.6 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for EvanLi/Github-Ranking, a Python project with 12,319 GitHub stars. SynthScan examined 4,999 lines of code across 42 source files, recording 17 pattern matches distributed across 2 syntactic categories. The legacy adjusted pattern signal is 6.6 (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.

6.6
Adjusted Signal
6.6
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
12.3K
Stars
Python
Language
5.0K
Lines of Code
42
Files
17
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 27.4/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 16 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 1.0/100 · LOW

Are wrappers, guards, and repeated structures necessary? 1 finding(s).

PR Review Velocity Impact 38.7/100 · MEDIUM

Which changes need focused human review? 17 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 0MEDIUM 16LOW 1

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 17 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.

Modern AI Meta-Vocabulary16 hits · 32 pts
SeverityFileLineSnippetContext
MEDIUMREADME.md332| 5 | [claude-code-best-practice](https://github.com/shanraisshan/claude-code-best-practice) | 67361 | 6729 | HTML | 7 |CODE
MEDIUMREADME.md616| 1 | [superpowers](https://github.com/obra/superpowers) | 297285 | 26536 | Shell | 186 | An agentic skills framework & CODE
MEDIUMTop100/Go.md56| 49 | [tidb](https://github.com/pingcap/tidb) | 40631 | 6257 | Go | 5308 | TiDB is built for agentic workloads that groCODE
MEDIUMTop100/Python.md85| 78 | [OpenMontage](https://github.com/calesthio/OpenMontage) | 66327 | 8450 | Python | 112 | World's first open-sourceCODE
MEDIUMTop100/Python.md99| 92 | [autogen](https://github.com/microsoft/autogen) | 61345 | 9273 | Python | 558 | A programming framework for agentCODE
MEDIUMTop100/Python.md100| 93 | [litellm](https://github.com/BerriAI/litellm) | 60933 | 12217 | Python | 1823 | The fastest, litest AI Gateway. RCODE
MEDIUMTop100/CSS.md53| 46 | [scaffold-eth](https://github.com/scaffold-eth/scaffold-eth) | 9028 | 3380 | CSS | 0 | 🏗 forkable Ethereum dev stCODE
MEDIUMTop100/Rust.md26| 19 | [warp](https://github.com/warpdotdev/warp) | 65412 | 5628 | Rust | 3927 | Warp is an agentic development environmCODE
MEDIUMTop100/Top-100-stars.md19| 12 | [superpowers](https://github.com/obra/superpowers) | 297283 | 26535 | Shell | 186 | An agentic skills framework &CODE
MEDIUMTop100/Top-100-stars.md68| 61 | [claude-code](https://github.com/anthropics/claude-code) | 150086 | 26103 | TypeScript | 13968 | Claude Code is aCODE
MEDIUMTop100/Java.md48| 41 | [conductor](https://github.com/conductor-oss/conductor) | 32278 | 1030 | Java | 165 | Conductor is an event driveCODE
MEDIUMTop100/MATLAB.md40| 33 | [matlab-agentic-toolkit](https://github.com/matlab/matlab-agentic-toolkit) | 1149 | 138 | MATLAB | 8 | The MATLABCODE
MEDIUMTop100/TypeScript.md18| 11 | [claude-code](https://github.com/anthropics/claude-code) | 150088 | 26103 | TypeScript | 13969 | Claude Code is aCODE
MEDIUMTop100/Shell.md8| 1 | [superpowers](https://github.com/obra/superpowers) | 297285 | 26536 | Shell | 186 | An agentic skills framework & CODE
MEDIUMTop100/Shell.md41| 34 | [A2A](https://github.com/a2aproject/A2A) | 26102 | 2657 | Shell | 212 | Agent2Agent (A2A) is an open protocol enaCODE
MEDIUMTop100/HTML.md12| 5 | [claude-code-best-practice](https://github.com/shanraisshan/claude-code-best-practice) | 67361 | 6729 | HTML | 7 |CODE
Excessive Try-Catch Wrapping1 hit · 1 pts
SeverityFileLineSnippetContext
LOWsource/common.py85 except Exception as e:CODE