swarm-optimization-patterns — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited swarm-optimization-patterns (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Task A (3min) ─┐
├── Task D (5min) ── Task F (2min)
Task B (2min) ─┘ │
└── Task E (3min) ── Task G (1min)
Task C (4min) ─────────────────────────────── Task H (2min)
Critical Path: C → H = 6min (longest path)
Zero-slack: C, H (gecikme tüm timeline'ı etkiler)interface TaskNode {
id: string
agent: string
estimatedMinutes: number
dependencies: string[] // task IDs
priority: 'critical' | 'high' | 'medium' | 'low'
}
// Topological sort ile execution order
function buildExecutionPlan(tasks: TaskNode[]): TaskNode[][] {
const layers: TaskNode[][] = []
const completed = new Set<string>()
while (completed.size < tasks.length) {
const ready = tasks.filter(t =>
!completed.has(t.id) &&
t.dependencies.every(d => completed.has(d))
)
layers.push(ready) // Bu layer paralel çalışabilir
ready.forEach(t => completed.add(t.id))
}
return layers
}| Strateji | Ne Zaman | Nasıl |
|---|---|---|
| Specialization | Uzman agent var | Task → matching agent |
| Load Balancing | Eşit workload | Round-robin + capacity |
| Priority-Based | Critical path | Zero-slack task'lara öncelik |
| Affinity | Context reuse | Aynı dosyaları kullanan task'lar aynı agent'a |
## Bottleneck Tipleri
| Tip | Tespit | Çözüm |
|-----|--------|-------|
| Resource Contention | Aynı dosya birden fazla agent | Sıralı execute veya lock |
| QA Queue | Review bekleyen task yığılması | Paralel reviewer |
| Dependency Chain | Uzun sıralı bağımlılık | Task decomposition |
| Agent Failure | Tekrarlayan fail | Fallback agent, reassign |BAĞIMSIZ task'lar → PARALEL
- Farklı dosyalarda çalışan
- Birbirine bağımlı olmayan
- Farklı concern'ler (frontend + backend)
BAĞIMLI task'lar → SIRALI
- Aynı dosyada çalışan
- Output → Input ilişkisi olan
- Schema → Code → Test zinciri| Phase | Geçiş Kriteri |
|---|---|
| Keşif → Geliştirme | Plan onaylandı, task'lar tanımlı |
| Geliştirme → Review | Tüm task'lar QA'den geçti |
| Review → Düzeltme | Review feedback var |
| Düzeltme → Final | Tüm feedback resolved |
Speedup = 1 / ((1-P) + P/N)
P = parallelizable fraction
N = number of agents
Örnek: %80 parallel, 5 agent
Speedup = 1 / (0.2 + 0.8/5) = 1/0.36 = 2.78x~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.