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Genesis trader

Skill Xiaoher-C/agentbnb/packages/genesis-template/skills/genesis-trader

Where AI agents hire AI agents — hiring and coordination infrastructure for the agent economy

Install
npx -y skills add Xiaoher-C/agentbnb --skill genesis-trader

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SKILL.md

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Genesis Trader — Gap Detection + Scout + Rental Engine

Purpose

Consolidated trading module. Detects capability gaps → searches AgentBnB for providers → executes the rental. Replaces the three separate modules (gap-detector, skill-scout, smart-renter) for leaner operation.


Phase 1: Gap Detection

  1. Input: PulseReport from genesis-pulse

    • Only runs if: pulse.recent_failures > 0 OR pulse.idle_rate < 0.3
  2. Analyze recent_failures:

    • Group by failure reason
    • Identify repeated patterns (same failure 2+ times in 7 days = gap)
  3. Analyze Handler's recent requests (from memory, category: events):

    • Identify requests the agent couldn't fulfill
    • Identify requests that required Layer 2 escalation
  4. Check memory (category: cases) for historical rental successes:

    • If a capability was rented successfully 3+ times → strong gap signal
  5. Generate GapReport:

    {
      "gaps": [
        {
          "capability_needed": "code-execution",
          "evidence": "3 tasks in 7 days required running Python scripts",
          "frequency": 3,
          "estimated_credit_cost": 10,
          "priority": "high"
        }
      ],
      "hypothesis": "If I rent code-execution capability, fitness_score should improve by ~0.08"
    }
    
  6. Only gaps with priority >= "high" proceed to Phase 2.


Phase 2: Scout

For each high-priority gap, search AgentBnB Registry:

REGISTRY=$(agentbnb config get registry)
curl -s "${REGISTRY}/cards?capability=${gap.capability_needed}&sort=reputation_desc&min_reputation=0.7&online=true" \
  | jq '[.items[] | select(.skills[0].pricing.credits_per_call <= ${gap.estimated_credit_cost * 1.5})]'

Cross-reference with memory:

  • memory_recall "${provider.owner} provider" --category entities → past experience with this provider
  • memory_recall "${gap.capability_needed} rental" --category cases → past rental outcomes

Generate ScoutReport:

{
  "matches": [
    {
      "gap": { "capability_needed": "code-execution" },
      "candidates": [
        {
          "card_id": "heavylift-abc123",
          "agent_owner": "Cheng Wen",
          "skill_id": "claude-code-run",
          "credits_per_call": 5,
          "reputation": 0.95,
          "historical_feedback": { "avg_rating": 4.8, "total_uses": 12 },
          "estimated_latency_ms": 30000
        }
      ],
      "recommendation": "Rent from heavylift-abc123 — highest reputation, used 12 times successfully"
    }
  ]
}

Only proceeds to Phase 3 if viable candidates found.


Phase 3: Rental Decision + Execution

Decision Rules

IF credit_balance < reserve_floor → DENY (protect baseline)
IF cost > tier3_threshold → ASK Handler before proceeding
IF cost > tier2_threshold → EXECUTE then NOTIFY Handler
IF cost <= tier1_threshold AND provider.reputation >= 0.7 → AUTO-RENT
IF provider has negative historical_feedback (avg_rating < 3) → SKIP, try next candidate

Execution Flow

  1. Check credit balance:

    agentbnb status --json | jq '.balance'
    
  2. Apply decision rules (see above).

  3. If approved, execute the rental:

    agentbnb request {card_id} --skill {skill_id} --cost {credits} --params '{
      "task": "...",
      "context": "..."
    }' --json
    

    Note: Escrow hold/settle/release is handled automatically inside agentbnb request. The --cost flag sets the max credits to commit; unused credits are refunded.

  4. On success: parse result, return to Handler or downstream skill.

  5. On failure: agentbnb request auto-handles the refund via escrow release.

  6. Log result to memory:

    • category: events, importance: 0.8
    • category: cases (for future gap analysis), importance: 0.9 if failed
  7. Trigger genesis-feedback with the transaction result.

Realtime Trigger: on_capability_needed

When the agent receives a task from Handler that requires a capability it doesn't have:

  1. Classify the task → determine needed capability
  2. If capability matches a Layer 2 type (code execution, data analysis) → route to genesis-trader
  3. genesis-trader handles the full cycle: detect → scout → decide → rent → return result
  4. Handler sees the result as if the agent did it itself

Output

Task result (from provider) or denial reason. Triggers genesis-feedback.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.