Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Track detailed AI agent expenses, revenues, budgets, and ROI with per-agent attribution and alerts for efficient micro-budget financial management.
Track detailed AI agent expenses, revenues, budgets, and ROI with per-agent attribution and alerts for efficient micro-budget financial management.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Version: 1.0.0 Author: Aoineco & Co. License: MIT Tags: finance, expense-tracking, budget, roi, bootstrap, multi-agent, accounting
Financial tracking engine built for AI agents operating on extreme budgets. Tracks every API call, gas fee, and revenue stream with per-agent cost attribution. Native support for the $7 Bootstrap Protocol. Rebuilt from agentledger (Node.js) into Python with major enhancements for multi-agent squads and micro-budget operations. Core metric: Intelligence per Dollar (IPD) — how many operations you get per cent spent.
AI agents spend money (API calls, gas fees, subscriptions) but rarely track it. When you're running a 9-agent squad on a $7 seed budget, every fraction of a cent matters. You need: Real-time visibility into burn rate and runway Per-agent cost attribution (who's spending what?) Budget alerts BEFORE you overspend Revenue tracking to measure actual ROI
FeatureDescriptionTransaction LoggingLog expenses, revenue, API costs, gas fees with one-liner methods$7 Bootstrap MetricsSeed tracking, ROI%, runway days, daily burn rate, IPDPer-Agent Cost AttributionTrack spending by squad member (oracle, blue-sound, etc.)Budget AlertsSet limits per category/period — warns at 80%, blocks at 100%Category SystemPre-configured for AI ops: API/LLM, Gas/Blockchain, Revenue/Gig, etc.CSV/JSON ExportFull transaction export for tax, audit, or analysisJSONL StorageAppend-only transaction log — fast, corruption-resistantPeriod FilteringQuery by today, this-week, this-month, this-year, or all
from ledger_engine import AoinecoLedger ledger = AoinecoLedger() # Log API cost ledger.log_api_cost(0.0042, "Google", "gemini-3-flash", tokens_used=150000, agent="oracle") # Log gas fee ledger.log_gas(0.0003, chain="base", tx_hash="0xabc123", agent="blue-sound") # Log revenue ledger.log_revenue(0.01, "MoltLaunch", "Tier-1 Intel Report", category="Revenue/Gig") # Set budget ledger.set_budget("API/LLM", limit=3.00, period="daily") # Check $7 Bootstrap metrics metrics = ledger.get_bootstrap_metrics() # → Seed: $7.00, Burn: $0.02/day, Runway: 300 days, IPD: 257.5 ops/$
💰 Seed Amount: $7.00 📈 Total Revenue: $0.0150 📉 Total Expenses: $0.0233 🤖 API/LLM Cost: $0.0230 💵 Net Profit: $-0.0083 📊 ROI: -0.1% 💎 Remaining Balance: $6.9917 🔥 Daily Burn Rate: $0.0233/day ⏱️ Runway: 300 days 🧠 IPD: 257.5 ops/$
API/LLM — OpenAI, Anthropic, Google API costs Gas/Blockchain — On-chain transaction fees Revenue/Gig — MoltLaunch gig income Revenue/DeFi — Meteora, LP yields Revenue/Music — claw.fm royalties Infrastructure, Marketing, Tools, Subscriptions, Other
aoineco-ledger/ ├── SKILL.md # This file └── scripts/ └── ledger_engine.py # Main engine (zero external dependencies)
Pure Python 3.10+. No pip install needed. Designed for the $7 Bootstrap Protocol — every byte counts.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.