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-optimize/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-optimize)<a href="https://agentmods.dev/skills/hailo-ai/hailo_model_zoo/hailo-optimize"><img src="https://agentmods.dev/badge/skills/hailo-ai/hailo_model_zoo/hailo-optimize/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-optimize"><img src="https://agentmods.dev/badge/skills/hailo-ai/hailo_model_zoo/hailo-optimize.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 | $0.00067 | $0.02444 |
| Opus 5 | $0.00034 | $0.01222 |
| Sonnet 5 | $0.00013 | $0.00489 |
| Haiku 4.5 | $0.00007 | $0.00244 |
Grade A, and why
hailo-optimize 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 7d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hailo Optimize
Second stage of the DFC flow: take a parsed .har from /hailo-parse and produce a quantized <model_name>_optimized.har. This step applies a model script (ALLS commands — normalization, optimization flavor, NMS postprocess, fine-tune, etc.) and runs the DFC's quantization with a calibration set.
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 |
|---|---|---|
<parsed.har> |
yes | Output of /hailo-parse. |
[hw_arch] |
no | One of hailo10h (default), hailo15h, hailo15l. |
Follow-up questions: calibration source (numpy .npy / .npz, image directory, or list of image paths), and whether to use a custom ALLS instead of the auto-matched one.
Workflow
1. Resolve inputs
- Verify
<parsed.har>exists. model_name= HAR filename stem (strip a trailing_parsedif present).hw_archdefaults tohailo10h.- Confirm
hailo_sdk_clientimport works.
2. Auto-match ALLS (silent)
Look up an ALLS file in this priority order:
hailo_model_zoo/cfg/alls/<hw_arch>/performance/<model_name>.allshailo_model_zoo/cfg/alls/<hw_arch>/base/<model_name>.allshailo_model_zoo/cfg/alls/generic/<model_name>.alls
hailo10h has no dedicated subdir — for it, only generic/ is consulted.
Apply the same name-matching rules as /hailo-parse (case-insensitive, -↔_, version-suffix stripping).
On a hit: load the file as the model script and log Using Model Zoo ALLS: hailo_model_zoo/cfg/alls/<...>/<name>.alls.
On a miss: compose a minimal default and show it to the user before applying:
normalization1 = normalization([0.0, 0.0, 0.0], [255.0, 255.0, 255.0])
model_optimization_flavor(optimization_level=2)
(Use the mean_list / std_list from the matched parser YAML, if /hailo-parse passed them along; otherwise the 0/255 defaults assume image input in 0–255 range.)
3. Model-script command reference
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.
- 7d ago First seen · 163 lines · 67 tokens per session scan A 3074d47bef3d
hailo-optimize is a skill published in the GitHub repository hailo-ai/hailo_model_zoo (708 stars, last pushed 7d ago), licensed MIT. It adds 67 tokens to every session and 2,444 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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