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 ZekaiSuni/claude-for-legal-turkish --skill log-leavegit clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkishWrote 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/zekaisuni/claude-for-legal-turkish/log-leave)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/log-leave"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/log-leave/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/zekaisuni/claude-for-legal-turkish/log-leave"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/log-leave.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 | $0.00068 | $0.00439 |
| Opus 5.5 | $0.00027 | $0.00176 |
| Sonnet 5.5 | $0.00014 | $0.00088 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
log-leave 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 1mo 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.
What it actually says
/log-leave
Akış
- Employment
CLAUDE.mddosyasını oku. - İzin türünü, başlangıç tarihini, beklenen dönüş tarihini, belge durumunu ve SGK/İSG bağlantısını çıkar.
- Sağlık verisi varsa teşhis ayrıntısını kaydetme; sadece rapor/uygunluk durumu ve tarihleri tut.
leave-register.yamldosyasına eklemeden önce kullanıcıya kayıt özetini göster.
Eksik Bilgi
- çalışan için anonim ID,
- izin/rapor türü,
- başlangıç ve beklenen dönüş,
- ücretli/ücretsiz statü,
- belge var mı,
- iş kazası/meslek hastalığı bağlantısı,
- aksiyon sahibi.
Çıktı
# İzin Kaydı Ekleme
**Çalışan:** [anonim ID]
**Tür:** [izin/rapor]
**Başlangıç:** [tarih]
**Beklenen dönüş:** [tarih]
**KVKK notu:** [sağlık verisi minimizasyonu]
## Kayıt
```yaml
- employee_id: "[anonim ID]"
leave_type: "[type]"
start_date: "YYYY-MM-DD"
expected_return: "YYYY-MM-DD"
status: "open"
documents: []
sgk_related: false
sensitive_health_data: false
notes: ""
```
Bu Skill Ne Yapmaz
- Sağlık raporunun tıbbi içeriğini analiz etmez.
- İzin/fesih kararı vermez.
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.
- 1mo ago First seen · 59 lines · 68 tokens per session scan A 3e90a5be3898
log-leave is a skill published in the GitHub repository ZekaiSuni/claude-for-legal-turkish (108 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 439 once invoked, about $0.0003 per session on Opus 5.5. 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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