Sandbox Runner Skill

Run solutions through recursive sandboxing, iterating up to 100 times before presenting to human.

Concept

"Let agents fail 100 times in simulation so humans see only the winning solution."

Sandbox Loop

[Solution] → Sandbox → Test → Pass? → [Present to Human]
                 ↑        │
                 └── No ──┘ (iterate, max 100x)

Configuration

sandbox:
  max_iterations: 100
  early_exit_threshold: 0.95  # Confidence to stop early
  checkpoint_every: 10        # Save state every N iterations
  
  tests:
    - unit: "npm run test"
    - lint: "npm run lint"
    - build: "npm run build"
    
  success_criteria:
    all_tests_pass: true
    no_lint_errors: true
    build_success: true

Iteration Protocol

Per Iteration:

1. Apply solution
2. Run test suite
3. Collect failures
4. Analyze failures
5. Generate fix
6. Loop until pass OR max iterations

State Tracking:

iteration:
  number: 42
  status: running | passed | failed
  failures: ["test A", "test B"]
  fixes_attempted: [...]
  confidence: 0.72

Early Exit Conditions

Stop before 100 iterations if:

• All tests pass (success)
• Confidence > 0.95
• Same failure 5x in a row (stuck)
• Critical error detected

Output Format

sandbox_result:
  iterations_run: 47
  final_status: passed | failed
  
  solution:
    code_changes: [...]
    confidence: 0.89
    
  iteration_log:
    - iter: 1, status: failed, fixes: [...]
    - iter: 2, status: failed, fixes: [...]
    - iter: 47, status: passed
    
  ready_for_hitl: true

Integration

• Input from: Swarm orchestrator
• Output to: HITL auditor
• Rollback: Restore to pre-sandbox state on failure