Claude Code configuration in the repository
ModerateCLAUDE.md is read by Claude Code. It shows that the project is (or was) developed with an AI coding tool, not how much of the code it wrote.
CLAUDE.md
Repository inspection report
kaansenol5/VibeOS
A completely vibecoded operating system targeting Aarch64
Last inspected 1 inspection since Nov 4, 2026, 09:44 PM UTCgithub.com/kaansenol5/VibeOS
This page shows the stored results of the latest inspection. It is only recomputed when someone inspects again.
AI-generation likelihood
No model score
No code detection model is configured, so an AI-generation likelihood is unavailable. Metadata, provenance and heuristic evidence below are still reported.
AI detection is probabilistic. No score - or lack of one - proves who wrote or made this content.
Summary
No AI-generation likelihood was produced because no detection model is configured for this content type. 1 indicator(s) of AI-assisted development were found (AI tool configuration, builder boilerplate or AI-authored commits).
Primary language
C
License
MIT
Stars
1,541
Files analysed
48 of 834
Key findings
Highlights from the latest inspection. Only model findings affect the likelihood score.
Template placeholder
WeakPlaceholder text “// TODO: Implement search in much more efficient manner” is typical of example or scaffolded code.
micropython/lib/re1.5/compilecode.c
Files
| File | Language | Model score |
|---|---|---|
| doomgeneric/doomgeneric/p_ceilng.c | C | - |
| kernel/fb.c | C | - |
| kernel/hal/hal.h | C | - |
| kernel/hal/pizero2w/platform.c | C | - |
| kernel/hal/pizero2w/usb/usb.c | C | - |
| kernel/hal/qemu/fb.c | C | - |
| kernel/libc/arpa/inet.h | C | - |
| kernel/libc/string.h | C | - |
| micropython/extmod/modheapq.c | C | - |
| micropython/lib/re1.5/compilecode.c | C | - |
| micropython/ports/vibeos/main.c | C | - |
| micropython/py/scope.c | C | - |
| micropython/shared/libc/string0.c | C | - |
| micropython/shared/memzip/memzip.c | C | - |
| micropython/shared/netutils/trace.c | C | - |
Directories
| micropython/shared | 14 files | - |
|---|---|---|
| kernel/hal | 7 files | - |
| tinycc/vibeos | 5 files | - |
| kernel/libc | 3 files | - |
| doomgeneric/doomgeneric | 2 files | - |
| kernel | 2 files | - |
| micropython/extmod | 2 files | - |
| micropython/lib | 2 files | - |
| micropython/ports | 2 files | - |
| micropython/py | 2 files | - |
| tinycc | 2 files | - |
| tinycc/include | 2 files | - |
How this was inspected
- • code detection model - model, unavailable
- • Code pattern heuristics - heuristic, completed
- • AI tooling & commit provenance - provenance, skipped
Limitations
- • Code detection is less mature than text detection. Idiomatic, boilerplate or framework-generated code is frequently indistinguishable from AI output.
- • Linters, formatters and code generators homogenise style and can trigger heuristic signals.
- • Heuristic code signals are descriptive and do not contribute to the likelihood score.
- • Uploaded code is treated as text only. It is never executed, compiled or installed.
- • Only files on the selected branch are analysed, plus authorship of the most recent commits.
- • Commit history could not be read, so AI co-author trailers were not checked.
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