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/localization --skill hebrew-content-writergit clone --depth 1 https://github.com/skills-il/localizationWrote 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/localization/hebrew-content-writer)<a href="https://agentmods.dev/skills/skills-il/localization/hebrew-content-writer"><img src="https://agentmods.dev/badge/skills/skills-il/localization/hebrew-content-writer/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/localization/hebrew-content-writer"><img src="https://agentmods.dev/badge/skills/skills-il/localization/hebrew-content-writer.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 | $0.00125 | $0.03270 |
| Opus 5 | $0.00063 | $0.01635 |
| Sonnet 5 | $0.00025 | $0.00654 |
| Haiku 4.5 | $0.00013 | $0.00327 |
Grade A, and why
hebrew-content-writer 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- hebrew-content-writer — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hebrew Content Writer
Instructions
Step 1: Identify Content Type and Register
| Content Type | Register | Audience | Key Characteristics |
|---|---|---|---|
| Legal / Government | Formal (gvoha) | Officials, lawyers | Passive voice, complex sentences, traditional gendering |
| Business / Corporate | Business | Professionals | Clear, professional, moderate formality |
| Marketing / Ads | Business-Casual | General public | Persuasive, benefit-focused, concise |
| Direct / Dugri | Dugri | Israeli general public | Blunt, no softeners, short imperative sentences |
| UX / Interface | Direct | End users | Imperative mood, ultra-short, action-oriented |
| Social Media | Informal | Young adults | Casual, slang-friendly, emoji-compatible |
| Blog / Article | Business | Readers | Informative, SEO-aware, structured |
Step 2: Apply Hebrew Grammar Rules
Spelling Standard -- Use Ktiv Maleh (Full Spelling): Modern Hebrew content uses ktiv maleh (plene spelling) with vav and yod for vowels:
- Correct: תוכנה (tochnah) not תכנה
- Correct: שירות (sherut) not שרות
- Follow Academy of Hebrew Language guidelines
Smichut (Construct State) Rules:
- First noun loses definite article: "beit ha-sefer" (the school) not "ha-beit ha-sefer"
- First noun may change form: bayit -> beit, yom -> yom (unchanged)
- Adjectives agree with the LAST noun in the chain
Direct Object Marker (et):
- Required before definite direct objects: "ra'iti ET ha-sefer" (I saw the book)
- NOT used with indefinite objects: "ra'iti sefer" (I saw a book)
- Common mistake: omitting "et" or using it with indefinite objects
Subject-Verb Agreement:
- Verbs agree in gender and number with their subject
- Past tense: also agrees in person
- Present tense: only gender and number (no person distinction)
- Future tense: gender, number, and person
Step 3: Handle Gendered Language
Option A -- Traditional (default for formal/legal): Use masculine plural for mixed groups. Standard in government, legal, academic writing.
What ships with it
4 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.
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 · 209 lines · 125 tokens per session scan A 481d816e0d40
hebrew-content-writer is a skill published in the GitHub repository skills-il/localization (23 stars, last pushed 15d ago), licensed MIT. It adds 125 tokens to every session and 3,270 once invoked, about $0.0006 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 2026-08-30.
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