ggml-org/ggml

2.6

Adjusted Score

2.6

Raw Score

100%

Time Factor

2026-07-10

Last Push

15.0K

Stars

C++

Language

336.6K

Lines of Code

677

Files

796

Pattern Hits

2026-07-14

Scan Date

0.01

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 6MEDIUM 10LOW 780

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 796 distinct pattern matches across 16 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. 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 diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Over-Commented Block680 hits · 658 pts

Severity	File	Line	Snippet	Context
LOW	ci/run.sh	1	#/bin/bash	COMMENT
LOW	ci/run.sh	241	gg_printf '```\n'	COMMENT
LOW	ci/run.sh	261	#	COMMENT
LOW	include/ggml-cpp.h	1	#pragma once	COMMENT
LOW	include/ggml-sycl.h	1	//	COMMENT
LOW	include/ggml-backend.h	1	#pragma once	COMMENT
LOW	include/ggml-backend.h	381	// - most tensors have n_segments == 1 and a contiguous slice of the tensor data	COMMENT
LOW	include/ggml-cuda.h	1	#pragma once	COMMENT
LOW	include/ggml-opt.h	1	// This file contains functionality for training models using GGML.	COMMENT
LOW	include/ggml-opt.h	181	struct ggml_tensor * inputs,	COMMENT
LOW	include/ggml-metal.h	1	// Note: this description is outdated	COMMENT
LOW	include/ggml-metal.h	21		COMMENT
LOW	include/gguf.h	1	// This file contains functionality related to "GGUF" files, the binary file format used by ggml.	COMMENT
LOW	include/gguf.h	21	// 1. The size of the tensor in the dimension (int64_t).	COMMENT
LOW	include/gguf.h	161	// add tensor to GGUF context, tensor name must be unique	COMMENT
LOW	include/gguf.h	181	// fwrite(f, ...); // write tensor data	COMMENT
LOW	include/ggml-rpc.h	1	#pragma once	COMMENT
LOW	include/ggml.h	1	#pragma once	COMMENT
LOW	include/ggml.h	21	//	COMMENT
LOW	include/ggml.h	41	// struct ggml_context * ctx = ggml_init(params);	COMMENT
LOW	include/ggml.h	61	// struct ggml_cgraph * gf = ggml_new_graph(ctx);	COMMENT
LOW	include/ggml.h	81	// and after defining the computation graph, call the ggml_used_mem() function to find out how much memory was	COMMENT
LOW	include/ggml.h	101	// - ggml_conv_1d_2s()	COMMENT
LOW	include/ggml.h	121	// assert(c->src[0] == a);	COMMENT
LOW	include/ggml.h	141	// (float ) ((char ) a->data + ya->nb[1] + x*a->nb[0]) = x + y;	COMMENT
LOW	include/ggml.h	161	//	COMMENT
LOW	include/ggml.h	181	# define GGML_API __declspec(dllimport) extern	COMMENT
LOW	include/ggml.h	201	#elif defined(__MINGW32__) && !defined(__clang__)	COMMENT
LOW	include/ggml.h	221		COMMENT
LOW	include/ggml.h	241	#define GGML_MEM_ALIGN 8	COMMENT
LOW	include/ggml.h	261	__host__ __device__ constexpr inline void ggml_unused_vars_impl(Args&&...) noexcept {}	COMMENT
LOW	include/ggml.h	281	#elif defined(_MSC_VER)	COMMENT
LOW	include/ggml.h	1781		COMMENT
LOW	include/ggml.h	1801	//	COMMENT
LOW	include/ggml.h	1841	// if you need normal ordering, there are 2 methods:	COMMENT
LOW	include/ggml.h	2681	struct ggml_tensor * adamw_params); // parameters such as the learning rate	COMMENT
LOW	include/ggml.h	2701	// [0 1 ... idx ... n-1] <-- ggml_build_forward_select(..., n, idx)	COMMENT
LOW	include/ggml.h	2761		COMMENT
LOW	include/ggml.h	2801	# define GGML_RESTRICT __restrict__	COMMENT
LOW	tests/test-conv2d.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-timestep_embedding.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-conv1d-dw-c1.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-conv1d-dw-c2.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-pad-reflect-1d.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-quantize-fns.cpp	1	// Unit tests for quantization specific functions - quantize, dequantize and dot product	COMMENT
LOW	tests/test-roll.cpp	1	#include <ggml.h>	COMMENT
LOW	tests/test-opt.cpp	1	// TODO refactor	COMMENT
LOW	tests/test-conv-transpose-1d.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-quantize-perf.cpp	1	// Benchmark quantization specific functions on synthetic data	COMMENT
LOW	tests/test-arange.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-customop.c	1	#include "ggml.h"	COMMENT
LOW	tests/test-conv1d.cpp	1	#include "ggml.h"	COMMENT
LOW	tests/test-backend-ops.cpp	1	// This file defines tests for various GGML ops and backends.	COMMENT
LOW	tests/test-backend-ops.cpp	21	#include <ggml-cpp.h>	COMMENT
LOW	tests/test-backend-ops.cpp	41	#include <sstream>	COMMENT
LOW	tests/test-backend-ops.cpp	421	#define VARS_TO_STR2(a, b) VAR_TO_STR(a) + "," + VAR_TO_STR(b)	COMMENT
LOW	docs/gguf.md	201	// The value is a 8-bit signed integer.	COMMENT
LOW	docs/gguf.md	261		COMMENT
LOW	docs/gguf.md	281	// check for 0x46554747 and letting the endianness cancel out.	COMMENT
LOW	docs/gguf.md	301	uint64_t align_offset(uint64_t offset) {	COMMENT
620 more matches not shown…

Verbosity Indicators35 hits · 63 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/test-backend-ops.cpp	1970	// Step 1: create input tensors that don't depend on any other tensors:	COMMENT
LOW⚡	tests/test-backend-ops.cpp	1977	// Step 2: use the op that you want to test in the GGML compute graph.	COMMENT
LOW⚡	tests/test-backend-ops.cpp	1981	// Step 3: return the output tensor.	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	84	// Step 1: sum for mean	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	110	// Step 2: compute (x - mean) → dst, accumulate variance	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	143	// Step 3: apply scale to centered values in dst	COMMENT
LOW	src/ggml-et/et-kernels/src/rms_norm_f32.c	100	// Step 1: Compute sum of squares using 8-wide vectors	COMMENT
LOW⚡	src/ggml-et/et-kernels/src/rms_norm_f32.c	124	// Step 2: scale = rsqrt(mean + eps)	COMMENT
LOW⚡	src/ggml-et/et-kernels/src/rms_norm_f32.c	132	// Step 3: Apply scaling: broadcast scale once, reuse across loop	COMMENT
LOW	src/ggml-et/et-kernels/src/rwkv_wkv7_f32.c	177	// Step 1: sa = dot(a, state_prev[i])	COMMENT
LOW	src/ggml-et/et-kernels/src/rwkv_wkv7_f32.c	196	// Step 2: state update + result accumulation	COMMENT
LOW	src/ggml-webgpu/ggml-webgpu.cpp	1291	// For set rows specifically, we need to check if src and idx are empty	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	198	// Step 1: Apply decay gate to state	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	203	// Step 2: delta = (v - S @ k) * beta	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	210	// Step 3: state += outer(delta, k)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	216	// Step 4: attn_out = S @ q * scale	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	25	// Step 1: Calculate mean along the last dimension	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	30	// Step 2: Calculate (input - mean)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	33	// Step 3: Calculate squared differences (input - mean)^2	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	37	// Step 4: Calculate variance = mean((input - mean)^2)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	41	// Step 5: Get epsilon from op_params	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	45	// Step 6: Calculate std = sqrt(variance + eps)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	49	// Step 7: Normalize: output = (input - mean) / std	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	2809	// Step 5: multiply by attn_factor	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	2826	// Step 6: repeat	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3090	// Step 1: Prepare trans tensors for F16 type conversion to F32 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3115	// Step 2: Prepare head tensors for tail splitting if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3144	// Step 3: Execute RotaryPositionEmbedding	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3191	// Step 4: Copy unrotated tail portion from source to destination	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3220	// Step 5: Cast back to F16 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3906	// Step 1: cast the src0 (Query) to fp16 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3929	// Step 2: create the acl tensors for src1 (Key), src2 (Value),	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3973	// Step 3: create the PSEShift tensor if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	4042	// Step 4: set the inputs for FusedInferAttention.	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	4103	// Step 6: post-processing — slice padded output and/or cast to f32	COMMENT

Structural Annotation Overuse34 hits · 62 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/test-backend-ops.cpp	1970	// Step 1: create input tensors that don't depend on any other tensors:	COMMENT
LOW⚡	tests/test-backend-ops.cpp	1977	// Step 2: use the op that you want to test in the GGML compute graph.	COMMENT
LOW⚡	tests/test-backend-ops.cpp	1981	// Step 3: return the output tensor.	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	84	// Step 1: sum for mean	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	110	// Step 2: compute (x - mean) → dst, accumulate variance	COMMENT
LOW	src/ggml-et/et-kernels/src/norm_f32.c	143	// Step 3: apply scale to centered values in dst	COMMENT
LOW	src/ggml-et/et-kernels/src/rms_norm_f32.c	100	// Step 1: Compute sum of squares using 8-wide vectors	COMMENT
LOW⚡	src/ggml-et/et-kernels/src/rms_norm_f32.c	124	// Step 2: scale = rsqrt(mean + eps)	COMMENT
LOW⚡	src/ggml-et/et-kernels/src/rms_norm_f32.c	132	// Step 3: Apply scaling: broadcast scale once, reuse across loop	COMMENT
LOW	src/ggml-et/et-kernels/src/rwkv_wkv7_f32.c	177	// Step 1: sa = dot(a, state_prev[i])	COMMENT
LOW	src/ggml-et/et-kernels/src/rwkv_wkv7_f32.c	196	// Step 2: state update + result accumulation	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	198	// Step 1: Apply decay gate to state	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	203	// Step 2: delta = (v - S @ k) * beta	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	210	// Step 3: state += outer(delta, k)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/gated_delta_net.cpp	216	// Step 4: attn_out = S @ q * scale	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	25	// Step 1: Calculate mean along the last dimension	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	30	// Step 2: Calculate (input - mean)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	33	// Step 3: Calculate squared differences (input - mean)^2	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	37	// Step 4: Calculate variance = mean((input - mean)^2)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	41	// Step 5: Get epsilon from op_params	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	45	// Step 6: Calculate std = sqrt(variance + eps)	COMMENT
LOW⚡	src/ggml-openvino/openvino/op/norm.cpp	49	// Step 7: Normalize: output = (input - mean) / std	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	2809	// Step 5: multiply by attn_factor	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	2826	// Step 6: repeat	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3090	// Step 1: Prepare trans tensors for F16 type conversion to F32 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3115	// Step 2: Prepare head tensors for tail splitting if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3144	// Step 3: Execute RotaryPositionEmbedding	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3191	// Step 4: Copy unrotated tail portion from source to destination	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3220	// Step 5: Cast back to F16 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3906	// Step 1: cast the src0 (Query) to fp16 if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3929	// Step 2: create the acl tensors for src1 (Key), src2 (Value),	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	3973	// Step 3: create the PSEShift tensor if needed	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	4042	// Step 4: set the inputs for FusedInferAttention.	COMMENT
LOW	src/ggml-cann/aclnn_ops.cpp	4103	// Step 6: post-processing — slice padded output and/or cast to f32	COMMENT

Cross-File Repetition4 hits · 20 pts

Severity	File	Snippet	Context
HIGH	examples/gpt-2/convert-ckpt-to-ggml.py	returns list of utf-8 byte and a corresponding list of unicode strings. the reversible bpe codes work on unicode strings	STRING
HIGH	examples/gpt-2/convert-h5-to-ggml.py	returns list of utf-8 byte and a corresponding list of unicode strings. the reversible bpe codes work on unicode strings	STRING
HIGH	examples/gpt-2/convert-cerebras-to-ggml.py	returns list of utf-8 byte and a corresponding list of unicode strings. the reversible bpe codes work on unicode strings	STRING
HIGH	examples/gpt-j/convert-h5-to-ggml.py	returns list of utf-8 byte and a corresponding list of unicode strings. the reversible bpe codes work on unicode strings	STRING

AI Slop Vocabulary5 hits · 15 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/mnist/mnist-common.h	20	// The physical batch size determines how many datapoints are processed in parallel, larger values utilize compute bette	COMMENT
MEDIUM	src/ggml-zendnn/ggml-zendnn.cpp	600	// gather + batched matmul + scatter approach. Future versions will leverage	COMMENT
MEDIUM	src/ggml-cpu/amx/mmq.cpp	603	// pack again with 128 to fully utilize vector length	COMMENT
MEDIUM	src/ggml-cpu/amx/mmq.cpp	645	// pack again with 128 to fully utilize vector length	COMMENT
MEDIUM	src/ggml-cpu/amx/mmq.cpp	743	// pack again with 128 to fully utilize vector length	COMMENT

Hyper-Verbose Identifiers10 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW	include/ggml-backend.h	211	typedef ggml_backend_buffer_type_t (ggml_backend_split_buffer_type_t)(int main_device, const float tensor_split	CODE
LOW	examples/mnist/server.py	9	class CustomHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):	CODE
LOW	examples/python/ggml/utils.py	172	def __check_shape_consistent_with_type(tensor: TensorLike):	CODE
LOW⚡	src/ggml-virtgpu/regenerate_remoting.py	49	def _check_clang_format_available(self) -> bool:	CODE
LOW⚡	src/ggml-virtgpu/regenerate_remoting.py	53	def _format_file_with_clang_format(self, file_path: Path) -> bool:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	78	def generate_backend_function_name(self, group_name: str, function_name: str) -> str:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	89	def generate_frontend_function_name(self, group_name: str, function_name: str) -> str:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	125	def generate_apir_backend_header(self) -> str:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	176	def generate_backend_dispatched_header(self) -> str:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	222	def generate_virtgpu_forward_header(self) -> str:	STRING

Synthetic Comment Markers2 hits · 10 pts

Severity	File	Line	Snippet	Context
HIGH	src/ggml-virtgpu/regenerate_remoting.py	3	# Generated by Claude AI	STRING
HIGH	src/ggml-hexagon/ggml-hexagon.cpp	2064	// Check for F16 support only as requested	COMMENT

TODO Padding6 hits · 9 pts

Severity	File	Line	Snippet	Context
LOW	tests/test-backend-ops.cpp	7734	// GGML_TYPE_TQ1_0, GGML_TYPE_TQ2_0, // TODO: implement for all backends	COMMENT
LOW	tests/test-backend-ops.cpp	7759	// GGML_TYPE_TQ1_0, GGML_TYPE_TQ2_0, // TODO: implement for all backends	COMMENT
LOW	src/ggml.c	3880	// TODO: implement non F32 return	COMMENT
LOW	src/ggml.c	3904	// TODO: implement non F32 return	COMMENT
LOW	src/ggml.c	5050	// TODO: implement antialias for modes other than bilinear	COMMENT
LOW	src/ggml-zdnn/ggml-zdnn.cpp	22	// TODO: implement support for quantized types	COMMENT

Excessive Try-Catch Wrapping6 hits · 8 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/mnist/server.py	35	print(f"Error: {e}")	CODE
LOW	examples/python/example_test_all_quants.py	65	except Exception as e:	CODE
MEDIUM	examples/python/example_test_all_quants.py	66	print(f'Error: {e}')	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	69	except Exception as e:	CODE
LOW	src/ggml-virtgpu/regenerate_remoting.py	327	except Exception as e:	STRING
MEDIUM	src/ggml-virtgpu/regenerate_remoting.py	323	def main():	CODE

Example Usage Blocks4 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	scripts/sync-whisper-am.sh	5	# Usage:	COMMENT
LOW	scripts/release.sh	8	# Usage:	COMMENT
LOW	scripts/sync-llama-am.sh	5	# Usage:	COMMENT
LOW	src/ggml-sycl/dpct/helper.hpp	3020	/// Example usage:	COMMENT

Redundant / Tautological Comments2 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	scripts/release.sh	124	# Check if we have the latest from master (skip in dry-run)	COMMENT
LOW⚡	src/ggml-virtgpu/regenerate_remoting.py	46	# Check if clang-format is available	COMMENT

Self-Referential Comments1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	ci/run.sh	367	# Create a fresh python3 venv and enter it	COMMENT

Unused Imports3 hits · 3 pts

Severity	File	Line	Context
LOW	examples/python/stubs.py	7	CODE
LOW	examples/gpt-2/convert-cerebras-to-ggml.py	9	CODE
LOW	examples/gpt-j/convert-h5-to-ggml.py	23	CODE

Decorative Section Separators1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	src/ggml-et/et-kernels/src/platform.h	347	// ────── ──────────── ──────────────────────────────────────────────────	COMMENT

Deep Nesting2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	examples/python/ggml/utils.py	118		CODE
LOW	src/ggml-webgpu/wgsl-shaders/embed_wgsl.py	68		CODE

AI Structural Patterns1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	examples/mnist/mnist-train-fc.py	31		CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings