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 fthsrbst/mnema --skill code-conventionsgit clone --depth 1 https://github.com/fthsrbst/mnemaWrote 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/fthsrbst/mnema/code-conventions)<a href="https://agentmods.dev/skills/fthsrbst/mnema/code-conventions"><img src="https://agentmods.dev/badge/skills/fthsrbst/mnema/code-conventions/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/fthsrbst/mnema/code-conventions"><img src="https://agentmods.dev/badge/skills/fthsrbst/mnema/code-conventions.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 | $0.00040 | $0.00474 |
| Opus 5.5 | $0.00016 | $0.00190 |
| Sonnet 5.5 | $0.00008 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
code-conventions 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
Kod Standartları
Bu dosya tek kaynak: burada değişiklik yap,
hub syncile tüm cihazlara dağıt. (Aşağıdakiler başlangıç varsayımları — Fatih'le çalıştıkça netleşen tercihleri buraya işle ve önemli olanlarımemory_savetype=preference ile de kaydet.)
Genel
- Dil: yeni projelerde varsayılan TypeScript (strict). Script işleri için Python kabul.
- Paket yöneticisi: npm. Node LTS.
- Format/lint: prettier varsayılanları + eslint; tartışma çıkarsa prettier kazanır.
- Yorumlar: kodun kendisinin gösteremediği kısıtları yaz; "ne yaptığını" anlatan yorum yazma.
- Hata yönetimi: hataları yutma; ya anlamlı mesajla yükselt ya da bilinçli degrade et (log'la).
İsimlendirme
- Dosyalar: kebab-case. Tipler/sınıflar: PascalCase. Fonksiyon/değişken: camelCase.
- Türkçe değişken adı kullanma; kullanıcıya görünen metinler Türkçe olabilir.
Git
- Küçük, tek amaçlı commitler. Mesaj: emir kipi, ilk satır ≤ 72 karakter.
- main'e direkt push yok (kişisel deneme repoları hariç).
Mimari refleksler
- Önce en basit çalışan çözüm; soyutlamayı ikinci tekrarında ekle.
- Konfig: env değişkenleri + tek config modülü; sihirli sabitleri koda gömme.
- Dış servis çağrılarında timeout + anlamlı hata mesajı zorunlu.
Bu skill'i güncelleme
Fatih bir stil tercihi belirttiğinde: (1) bu dosyaya işle, (2) memory_save type=preference ile hub'a yaz, (3) kullanıcıya "conventions'a ekledim" de.
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 · 34 lines · 40 tokens per session scan A f05137aec38d
code-conventions is a skill published in the GitHub repository fthsrbst/mnema (2 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 474 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
zootopia-ppt
A presentation-making workflow that turns a speech or slide content into images showing an animated world of human-like animals. It first plans each slide and then generates the slide images.
kanban-tasks
A task-board workflow for breaking work into cards and moving them through stages such as inbox, ready, doing, review, and done. It also includes a background service and a web interface for the board.
ocr
OCR image files using the Qwen VL model via the bundled scripts/ocr.py (lives in this skill's directory, NOT your cwd). Use when the user asks to extract text from an image, perform OCR on a photo or screenshot, or recognize characters in an image file (.jpg, .jpeg, .png, .gif, .webp). Requires QWENAPIKEY and…
daily-digest
Build a daily digest from curated sources. Follow the output contract strictly.
duckdb-analyst
Use for any analytical question over ./data/.parquet. Prefer DuckDB, always show the SQL.
onboard
Link this project to a Pad workspace and set it up.