Borrowing it
Nothing to install: this file belongs to hailo-ai/hailo_model_zoo. 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/hailo-ai/hailo_model_zoo/master/.claude/skills/hailo-parse/SKILL.mdgit clone --depth 1 https://github.com/hailo-ai/hailo_model_zooWrote 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/skills/hailo-ai/hailo_model_zoo/hailo-parse)<a href="https://agentmods.dev/skills/hailo-ai/hailo_model_zoo/hailo-parse"><img src="https://agentmods.dev/badge/skills/hailo-ai/hailo_model_zoo/hailo-parse/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/skills/hailo-ai/hailo_model_zoo/hailo-parse"><img src="https://agentmods.dev/badge/skills/hailo-ai/hailo_model_zoo/hailo-parse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.02328 |
| Opus 5 | $0.00032 | $0.01164 |
| Sonnet 5 | $0.00013 | $0.00466 |
| Haiku 4.5 | $0.00006 | $0.00233 |
Grade A, and why
hailo-parse 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 8d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hailo Parse
First stage of the DFC flow: take an ONNX (.onnx) or TensorFlow (.tflite / SavedModel) file and produce a Hailo Archive (.har) containing the network in Hailo's internal representation. The HAR is then consumed by /hailo-optimize.
This skill is shipped with the Hailo Model Zoo. It assumes the DFC wheel (hailo_sdk_client) is installed in the active virtualenv.
Inputs
| Arg | Required | Notes |
|---|---|---|
<path-to-model> |
yes | Path to an .onnx or .tflite file. |
[hw_arch] |
no | One of hailo10h (default), hailo15h, hailo15l |
Optional via follow-up questions: model_name (defaults to filename stem), explicit start_node_names / end_node_names / net_input_shapes overrides.
TF input preconditions (verify before parsing — these are common failure modes that surface as confusing parser errors):
- TF1 frozen graphs / checkpoints: deprecated by the DFC since v5.1.0. Convert to TF2 SavedModel and then to TFLite (see next bullet) before parsing.
- TF2 SavedModel: not directly accepted by the parser. Convert to TFLite first with
tf.lite.TFLiteConverter.from_saved_model(...).convert()and pass the resulting.tflite. - Int8-quantized TFLite: not supported by the parser. Use a 32-bit or 16-bit TFLite — quantization is applied later by
/hailo-optimize, not at parse time.
ONNX export checklist (PyTorch users — the most common parse-failure sources):
When the user is exporting from PyTorch with torch.onnx.export(...), the following arguments are required for clean DFC parsing:
training=torch.onnx.TrainingMode.PRESERVE(orEVAL) — otherwise BatchNorm folds incorrectly and the parsed model silently diverges from the source.do_constant_folding=False.opset_versionin 15–21 (DFC supported range).dynamo=False— the new TorchDynamo exporter is not supported.
If the user can't change the export, suggest re-exporting before parsing.
Workflow
1. Resolve inputs
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.
- 8d ago First seen · 160 lines · 65 tokens per session scan A bb546db8439f
hailo-parse is a skill published in the GitHub repository hailo-ai/hailo_model_zoo (708 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 2,328 once invoked, about $0.0003 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 2026-09-03.
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