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.
git clone --depth 1 https://github.com/muhammedsevimli/sistemlerWrote 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/rules/muhammedsevimli/sistemler/marka-hafizasi)<a href="https://agentmods.dev/rules/muhammedsevimli/sistemler/marka-hafizasi"><img src="https://agentmods.dev/badge/rules/muhammedsevimli/sistemler/marka-hafizasi/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/rules/muhammedsevimli/sistemler/marka-hafizasi"><img src="https://agentmods.dev/badge/rules/muhammedsevimli/sistemler/marka-hafizasi.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 | $0.00326 | $0.00326 |
| Opus 5 | $0.00163 | $0.00163 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
marka-hafizasi 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 10d 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
Marka Hafızası · Otomatik Okuma Kuralı (Cursor)
Bu klasörde her üretimden önce şu 3 dosyayı oku (zorunlu, istisna yok):
hafiza/01-marka-kimlik.md: kim, kime, ne satıyoruz, ne değiliz.hafiza/02-ses.md: nasıl konuşuyoruz, hangi kelimeler yasak.hafiza/03-kararlar.md: geçmişte ne kararlaştırdık, şu an ne öne çıkarıyoruz.
Bu üç dosyayı okumadan hiçbir içerik, mail, teklif ya da metin üretme.
Üretim kuralları
- Ürettiğin her metin
02-ses.mdiçindeki tona uyar. Yasak kelimeleri KULLANMA. 01-marka-kimlik.mdiçindeki "Ne DEĞİLSİN" satırlarına asla ters düşme.03-kararlar.mdiçindeki "Şu an DOKUNMA" listesindeki konulara girme.- Kredibilite gerektiğinde
01-marka-kimlik.mdkanıt satırlarını kullan.
Yeni karar çıkarsa geri yaz
Yeni bir karar netleşirse 03-kararlar.md en üstüne tarih atarak Türkçe ekle. Böylece hafıza her oturumda büyür. Haftada bir HAFTALIK-DONGU.md ritüelini çalıştır.
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.
- 10d ago First seen · 23 lines · 326 tokens per session scan A d78f57772477
marka-hafizasi is a cursor rule published in the GitHub repository muhammedsevimli/sistemler (2 stars, last pushed 1mo ago), licensed MIT. It adds 326 tokens to every session, about $0.0016 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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session-memory
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common_memory_bank
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