Borrowing it
Nothing to install: this file belongs to yyq19990828/onnxtools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yyq19990828/onnxtools/main/CLAUDE.mdgit clone --depth 1 https://github.com/yyq19990828/onnxtoolsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md)<a href="https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md"><img src="https://agentmods.dev/badge/instructions/yyq19990828/onnxtools/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md"><img src="https://agentmods.dev/badge/instructions/yyq19990828/onnxtools/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02819 | $0.02819 |
| Opus 5 | $0.01409 | $0.01409 |
| Sonnet 5 | $0.00564 | $0.00564 |
| Haiku 4.5 | $0.00282 | $0.00282 |
Grade A, and why
onnxtools CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Navigation and conventions file for AI assistants working in this repo. For user-facing install/CLI/perf, see README.md.
ONNX-based vehicle and license plate recognition toolkit. Supports YOLO / RT-DETR / RF-DETR detection, OCR, and color/layer classification.
Quick Navigation
| I want to... | Go here |
|---|---|
| Install, run, CLI args, performance numbers | README.md |
| Add a new model architecture | Core Conventions below + onnxtools/infer_onnx/CLAUDE.md |
| Inference engine internals (BaseORT, Result, ORT subclasses) | onnxtools/infer_onnx/CLAUDE.md |
| Visualization customization (13 annotators, 5 presets) | onnxtools/utils/CLAUDE.md · docs/annotator_usage.md |
| Model evaluation (COCO mAP, OCR metrics, MOT HOTA/MOTA/IDF1) | onnxtools/eval/CLAUDE.md · docs/evaluation_guide.md |
| 2D multi-object tracking (ByteTrack, OC-SORT) | onnxtools/tracking/CLAUDE.md · docs/api/tracking.md |
| TensorRT build / ONNX debugging | tools/README.md · docs/polygraphy使用指南/ |
| Run/write tests | tests/CLAUDE.md |
| Config files (det_config / plate / visualization presets) | configs/CLAUDE.md |
| MCP server / LLM tool interface | mcp_tools/CLAUDE.md |
Module Index
| Path | Responsibility | Docs |
|---|---|---|
onnxtools/ |
Core Python package, public API entry | CLAUDE.md |
onnxtools/infer_onnx/ |
YOLO / RT-DETR / RF-DETR / OCR inference classes | CLAUDE.md |
onnxtools/utils/ |
Image processing, Supervision visualization, OCR metrics | CLAUDE.md |
onnxtools/eval/ |
COCO / OCR dataset evaluators | CLAUDE.md |
onnxtools/tracking/ |
2D MOT — ByteTrack (supervision / native) + OC-SORT | CLAUDE.md |
tools/ |
Evaluation, TensorRT build, ONNX vs TRT comparison | README.md |
tests/ |
unit / integration / contract / performance | CLAUDE.md |
configs/ |
Detection classes, OCR dict, visualization presets (YAML) | CLAUDE.md |
models/ |
ONNX models and TensorRT engines (.gitignore) | CLAUDE.md |
specs/ |
Completed feature specs (spec-kit) | CLAUDE.md |
openspec/ |
OpenSpec change proposals and archive | CLAUDE.md |
docs/ |
User docs, Polygraphy guide, API reference | CLAUDE.md |
third_party/ |
Ultralytics / Polygraphy / RF-DETR integrations | CLAUDE.md |
mcp_tools/ |
FastMCP server, LLM tool interface | CLAUDE.md |
examples/ |
Demo scripts (demo_pipeline, demo_crop) | — |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 178 lines · 2,819 tokens per session scan A 1dfb3586187d
onnxtools CLAUDE.md is an instructions file published in the GitHub repository yyq19990828/onnxtools (5 stars, last pushed 1mo ago), licensed MIT. It adds 2,819 tokens to every session, about $0.0141 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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