smart-routing — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited smart-routing (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.
Intelligent task routing using Q-Learning to select optimal execution paths. Simple tasks route to Agent Booster (WASM, <1ms, $0), medium tasks to efficient models, and complex tasks to Opus + multi-agent swarms.
| Tier | Target | Latency | Cost |
|---|---|---|---|
| Agent Booster | Simple transforms (var-to-const, add-types) | <1ms | $0 |
| Medium | Standard coding tasks | ~500ms | Low |
| Complex | Multi-agent swarm coordination | 2-5s | Higher |
var-to-const - Variable declaration modernizationadd-types - TypeScript type annotation insertionadd-error-handling - Try/catch wrapper insertionasync-await - Promise chain to async/await conversionextract-function - Code block extraction to named functionsadd-jsdoc - Documentation generationagents/optimizer/ - Performance and cost optimizationagents/architect/ - Complex task decompositionInvoke via babysitter process: methodologies/ruflo/ruflo-task-routing
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.