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/komunite/kalfaWrote 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/commands/komunite/kalfa/start)<a href="https://agentmods.dev/commands/komunite/kalfa/start"><img src="https://agentmods.dev/badge/commands/komunite/kalfa/start/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/commands/komunite/kalfa/start"><img src="https://agentmods.dev/badge/commands/komunite/kalfa/start.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 | $0.00031 | $0.01265 |
| Opus 5.5 | $0.00012 | $0.00506 |
| Sonnet 5.5 | $0.00006 | $0.00253 |
| Haiku 4.5 | $0.00003 | $0.00127 |
Grade A, and why
start 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bir çalışma oturumu başlat. İlk çalıştırmada otomatik onboarding yapar. Sonraki çalıştırmalarda bağlamı yükleyip günü açar.
Adımlar
Adım 0: İlk kurulum kontrolü
memory.md'yi oku. İçeriğinde proje adı veya açıklaması yoksa (sadece varsayılan şablon varsa), bu yeni bir kurulumdur. Adım A'ya git (onboarding).
Proje bilgisi zaten varsa Adım 1'e atla (normal gün başlangıcı).
YENİ KURULUM: Otomatik Onboarding (Adım A-E)
Adım A: Projeyi tara
Sessizce şunları yap (kullanıcıya çıktı verme, sadece topla):
- Kök dizindeki dosya ve klasörleri listele
package.json,Cargo.toml,go.mod,requirements.txt,pyproject.toml,Gemfilegibi bağımlılık dosyalarını ara- Varsa
package.jsonoku (proje adı, bağımlılıklar, script'ler) - Varsa
README.mdoku (ilk 50 satır) - Dil ve framework'ü tespit et
.claude/skills/SOLOPRENEUR-REHBER.mddosyasını oku
Adım B: Bulgularını özetle ve sor
Kullanıcıya kısa bir özet göster:
Projeyi taradım:
- Dil: [tespit edilen]
- Framework: [tespit edilen]
- Yapı: [monolith/monorepo/vs]
Seni daha iyi tanımak için birkaç sorum var:
Sonra şu 4 soruyu sor:
- Bu projenin amacı ne? (bir cümleyle)
- Hedef kitlen kim? (kime satıyorsun/kime hizmet ediyorsun)
- Şu an en çok neye zaman harcıyorsun? (kodlama, pazarlama, müşteri bulma, içerik üretme...)
- Otomatikleştirmek veya hızlandırmak istediğin şey ne?
Adım C: Hafızayı oluştur
Cevaplara ve tarama bulgularına göre memory.md'yi güncelle:
# Hafıza
## Proje
- **Ad:** [proje adı]
- **Açıklama:** [bir cümle]
- **Dil/Framework:** [tespit edilen]
- **Hedef Kitle:** [kullanıcının cevabı]
## Şimdi
- Proje kurulumu tamamlandı
## Açık Konular
- (henüz yok)
## Son Kararlar
- (henüz yok)
## Engeller
- (yok)
Adım D: Skill önerileri
Kullanıcının cevaplarına göre solopreneur rehberinden en uygun skill zincirini öner:
- Yeni ürün → Zincir 1: Sıfırdan İlk Müşteriye
- Lansman aşaması → Zincir 2: Ürün Lansmanı
- İçerik/SEO büyümesi → Zincir 3: İçerik ile Büyüme
- Müşteri bulma → Zincir 4: Satış Makinesi
- Verimlilik → Zincir 5: Yapay Zeka ile Verimlilik
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 · 159 lines · 31 tokens per session scan A f88e468a0fe0
start is a command published in the GitHub repository komunite/kalfa (246 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 1,265 once invoked, about $0.0001 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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Generate a custom checklist for the current feature based on user requirements.