2.3

Adjusted Signal

2.3

Raw Pattern Score

100%

Time Factor

2026-10-24

Last Push

37.0K

Stars

Python

Language

37.5K

Lines of Code

145

Files

Pattern Hits

2026-10-31

Scan Date

0.00

HC Hit Rate

Risk Review · Payload v1

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

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 10.2/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 56 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.3/100 · LOW

Are imports declared and package/API names verified? 2 finding(s).

Agent Over-Engineering Ratio 0.5/100 · LOW

Are wrappers, guards, and repeated structures necessary? 4 finding(s).

PR Review Velocity Impact 7.7/100 · LOW

Which changes need focused human review? 60 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 0LOW 60

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 60 distinct pattern matches across 7 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.

Structural Annotation Overuse50 hits · 75 pts

Severity	File	Line	Snippet	Context
LOW	SKILL.md	78	#### Step 1: 需求定位	COMMENT
LOW	SKILL.md	116	#### Step 2: 候选推荐	COMMENT
LOW	SKILL.md	148	#### Step 3: 用户选择	COMMENT
LOW	SKILL.md	440	#### Step 1: 读取模板	COMMENT
LOW	SKILL.md	443	#### Step 2: 填充内容	COMMENT
LOW	SKILL.md	477	### Step 1: 问题分类	COMMENT
LOW	SKILL.md	520	#### Step 3: 质量自检	COMMENT
LOW	SKILL.md	523	#### Step 4: 输出	COMMENT
LOW	examples/andrej-karpathy-perspective/SKILL.md	98	### Step 1: 问题分类	COMMENT
LOW	examples/andrej-karpathy-perspective/SKILL.md	116	### Step 2: Karpathy式研究（按问题类型选择）	COMMENT
LOW	examples/andrej-karpathy-perspective/SKILL.md	147	### Step 3: Karpathy式回答	COMMENT
LOW	examples/steve-jobs-perspective/SKILL.md	35	### Step 1: 问题分类	COMMENT
LOW	examples/steve-jobs-perspective/SKILL.md	54	### Step 2: 乔布斯式研究（按问题类型选择）	COMMENT
LOW	examples/steve-jobs-perspective/SKILL.md	85	### Step 3: 乔布斯式回答	COMMENT
LOW	examples/trump-perspective/SKILL.md	92	### Step 1: 问题分类	COMMENT
LOW	examples/trump-perspective/SKILL.md	104	### Step 2: 特朗普式研究（按问题类型选择）	COMMENT
LOW	examples/trump-perspective/SKILL.md	128	### Step 3: 特朗普式回答	COMMENT
LOW	examples/zhangxuefeng-perspective/SKILL.md	36	### Step 1: 问题分类	COMMENT
LOW	examples/zhangxuefeng-perspective/SKILL.md	48	### Step 2: 张雪峰式研究（按问题类型选择）	COMMENT
LOW	examples/zhangxuefeng-perspective/SKILL.md	72	### Step 3: 张雪峰式回答	COMMENT
LOW	examples/mrbeast-perspective/SKILL.md	41	### Step 1: 问题分类	COMMENT
LOW	examples/mrbeast-perspective/SKILL.md	53	### Step 2: MrBeast式研究（按问题类型选择）	COMMENT
LOW	examples/mrbeast-perspective/SKILL.md	77	### Step 3: MrBeast式回答	COMMENT
LOW	examples/zhang-yiming-perspective/SKILL.md	69	### Step 1: 问题分类	COMMENT
LOW	examples/zhang-yiming-perspective/SKILL.md	81	### Step 2: 张一鸣式研究（按问题类型选择）	COMMENT
LOW	examples/zhang-yiming-perspective/SKILL.md	105	### Step 3: 张一鸣式回答	COMMENT
LOW	examples/taleb-perspective/SKILL.md	74	### Step 1: 问题分类	COMMENT
LOW	examples/taleb-perspective/SKILL.md	86	### Step 2: 塔勒布式研究（按问题类型选择）	COMMENT
LOW	examples/taleb-perspective/SKILL.md	114	### Step 3: 塔勒布式回答	COMMENT
LOW	examples/ilya-sutskever-perspective/SKILL.md	36	### Step 1: 问题分类	COMMENT
LOW	examples/ilya-sutskever-perspective/SKILL.md	53	### Step 2: Ilya式研究（按问题类型选择）	COMMENT
LOW	examples/ilya-sutskever-perspective/SKILL.md	87	### Step 3: Ilya 式回答	COMMENT
LOW	examples/paul-graham-perspective/SKILL.md	54	### Step 1: 问题分类	COMMENT
LOW	examples/paul-graham-perspective/SKILL.md	66	### Step 2: PG式研究（按问题类型选择）	COMMENT
LOW	examples/paul-graham-perspective/SKILL.md	91	### Step 3: PG式回答	COMMENT
LOW	examples/feynman-perspective/SKILL.md	55	### Step 1: 问题分类	COMMENT
LOW	examples/feynman-perspective/SKILL.md	73	### Step 2: 费曼式研究（按问题类型选择）	COMMENT
LOW	examples/feynman-perspective/SKILL.md	102	### Step 3: 费曼式回答	COMMENT
LOW	examples/munger-perspective/SKILL.md	61	### Step 1: 问题分类	COMMENT
LOW	examples/munger-perspective/SKILL.md	73	### Step 2: 芒格式研究（按问题类型选择）	COMMENT
LOW	examples/munger-perspective/SKILL.md	101	### Step 3: 芒格式回答	COMMENT
LOW	examples/naval-perspective/SKILL.md	39	### Step 1: 问题分类	COMMENT
LOW	examples/naval-perspective/SKILL.md	51	### Step 2: Naval式研究（按问题类型选择）	COMMENT
LOW	examples/naval-perspective/SKILL.md	76	### Step 3: Naval式回答	COMMENT
LOW	examples/elon-musk-perspective/SKILL.md	68	### Step 1: 问题分类	COMMENT
LOW	examples/elon-musk-perspective/SKILL.md	86	### Step 2: 马斯克式研究（按问题类型选择）	COMMENT
LOW	examples/elon-musk-perspective/SKILL.md	117	### Step 3: 马斯克式回答	COMMENT
LOW	examples/sun-yuchen-perspective/SKILL.md	89	### Step 1: 问题分类	COMMENT
LOW	examples/sun-yuchen-perspective/SKILL.md	101	### Step 2: 孙宇晨式研究（按问题类型选择）	COMMENT
LOW	examples/sun-yuchen-perspective/SKILL.md	128	### Step 3: 孙宇晨式回答	COMMENT

Hyper-Verbose Identifiers2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	examples/mrbeast-perspective/scripts/thumbnail_audit.py	45	def check_title_thumbnail_complementarity(title: str, thumb_text: str = "") -> dict:	CODE
LOW	examples/mrbeast-perspective/scripts/thumbnail_audit.py	123	def check_title_curiosity_gap(title: str) -> dict:	CODE

Excessive Try-Catch Wrapping2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	examples/mrbeast-perspective/scripts/thumbnail_audit.py	167	except Exception as e:	CODE
LOW	.github/scripts/community_check.py	105	except Exception:	CODE

Over-Commented Block2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	…mrbeast-perspective/scripts/fetch_youtube_subtitles.sh	1	#!/bin/bash	COMMENT
LOW	.github/scripts/community_check.py	21	import json	COMMENT

Deep Nesting2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	.github/scripts/community_check.py	76		CODE
LOW	.github/scripts/community_check.py	165		CODE

Unused Imports1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	examples/mrbeast-perspective/scripts/thumbnail_audit.py	23		CODE

Fake / Example Data1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	.github/scripts/community_check.py	65	(r"\bplaceholder\b", "placeholder"),	CODE

alchaincyf/nuwa-skill

Open-Source Code Quality, Security and Technical Debt Review