Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add skills-il/security-compliance --skill israeli-ai-compliance-kitgit clone --depth 1 https://github.com/skills-il/security-complianceWrote 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/skills-il/security-compliance/israeli-ai-compliance-kit)<a href="https://agentmods.dev/skills/skills-il/security-compliance/israeli-ai-compliance-kit"><img src="https://agentmods.dev/badge/skills/skills-il/security-compliance/israeli-ai-compliance-kit/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/skills-il/security-compliance/israeli-ai-compliance-kit"><img src="https://agentmods.dev/badge/skills/skills-il/security-compliance/israeli-ai-compliance-kit.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 | $0.00185 | $0.07542 |
| Opus 5 | $0.00093 | $0.03771 |
| Sonnet 5 | $0.00037 | $0.01508 |
| Haiku 4.5 | $0.00018 | $0.00754 |
Grade A, and why
israeli-ai-compliance-kit 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 12d 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Israeli AI Compliance Kit
Legal notice
This is a free information tool operated by an AI model. It explains the law and the procedure and helps you organise your own documents. All of its outputs are produced automatically by an AI model, with no involvement, review, or approval by an advocate. The output is not legal advice and not a legal opinion, but a general explanation and a template only: it does not read the full file of your matter, does not check current case law, and does not examine your specific circumstances. An AI model may err, omit data, or present a wrong conclusion.
Any text this tool drafts is an automatic draft for your personal preparation only. It is not a document prepared by an advocate and must not be relied on as evidence. This tool is not a substitute for advice that takes account of the particular circumstances and needs of each person. Before starting proceedings, signing a document, or filing with an authority or a court, consult an advocate. All use of its output is the user's sole responsibility.
Problem
Israeli ML teams shipping AI products face a fragmented compliance landscape: voluntary principles from the Ministry of Innovation, the Privacy Protection Law with Amendment 13 in force since August 14, 2025, sector regulators each drafting their own AI guidance, and the EU AI Act rolling out in staggered phases through 2027 that reach anyone selling into Europe. Most teams discover these requirements mid-procurement when an enterprise customer demands a model card, data statement, and DPIA. There is no unified checklist or template set tailored to the Israeli regulatory context.
Instructions
Step 1: Scope Your AI System
Before any compliance work, classify the system across four axes. The classification determines which regimes apply.
| Axis | Options | Why it matters |
|---|---|---|
| System type | GenAI (LLM, image, audio), Predictive ML, Rule-based | EU AI Act GPAI obligations target GenAI. Predictive models fall under Annex III if used in high-risk domains |
| Personal data | Yes (training or inference), No | Triggers PPL, Amendment 13 obligations, Data Security Regulations 2017 |
| EU market exposure | Placed on EU market, Output used in EU, Neither | Determines EU AI Act applicability under Article 2 |
| Israeli sector regulator | Banking (BoI), Health (MoH AMAR), Insurance (CMISA), Transport (MoT), Defense (MoD), None | Each regulator has distinct obligations; some predate AI-specific rules |
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- CHANGELOG.md 6.1 KB
- evidence.json 39 KB
- metadata.json 2.7 KB
- optimization-log.json 4.7 KB
- references/.gitkeep 0 B
- references/dpia-template.md 5.4 KB
- references/eu-ai-act-israel-guide.md 9.3 KB
- references/moi-2023-principles.md 7.1 KB
- references/ppl-for-ml-engineers.md 5.9 KB
- scripts/.gitkeep 0 B
- scripts/classify_eu_ai_act_risk.py 16 KB runs code
- scripts/generate_model_card.py 7.4 KB runs code
- SKILL_HE.md 39 KB
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.
- 12d ago First seen · 279 lines · 185 tokens per session scan A 3bb7b3663f05
israeli-ai-compliance-kit is a skill published in the GitHub repository skills-il/security-compliance (10 stars, last pushed 10d ago), licensed MIT. It adds 185 tokens to every session and 7,542 once invoked, about $0.0009 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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