agentfinobsAI Agent Financial Observability — monitor, budget, and analyze spending across any AI agent. Track costs, set budgets, detect anomalies, and export metrics...
Install via ClawdBot CLI:
clawdbot install oc127/agentfinobsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Webhook → https://my-saas.com/ingestCalls external URL not in known-safe list
https://my-saas.com/ingestAI Analysis
The skill's stated purpose is financial observability, which inherently involves sending metrics to external dashboards or monitoring services. The external webhook call to 'https://my-saas.com/ingest' is consistent with this purpose and is documented in the 'Exporters' section. There is no evidence of credential harvesting, hidden instructions, or obfuscation in the provided definition.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A financial trading firm uses agentfinobs to monitor real-time spending of AI trading bots executing transactions on decentralized exchanges via x402/USDC rails. The BudgetManager sets daily limits to prevent runaway losses, while the AnomalyDetector flags unusual trade volumes for immediate review, ensuring compliance and risk management.
A SaaS company deploys agentfinobs to track API usage costs across multiple AI agents that interact with external services like Stripe for payment processing. The MetricsEngine calculates ROI per agent, and the Dashboard provides live insights to optimize spending and forecast runway, helping teams stay within budget.
An online gaming platform integrates agentfinobs to manage in-game transactions processed through payment rails like Polymarket CLOB. The SpendTracker records player purchases and settlements, while BudgetRules enforce spending caps per user session to prevent fraud and maintain economic balance.
A healthcare provider uses agentfinobs to monitor costs of AI agents handling patient data processing via secure payment rails. The AnomalyDetector identifies irregular spending patterns that could indicate data breaches or inefficiencies, with exports to JSONL for audit trails and regulatory reporting.
An e-commerce retailer employs agentfinobs to analyze spending of AI agents managing inventory and customer interactions through Stripe/ACP rails. The BudgetManager sets thresholds for promotional campaigns, and the AnomalyDetector flags suspicious transactions in real-time, reducing chargebacks and improving profit margins.
Offer agentfinobs as a hosted SaaS platform where users pay a monthly fee per AI agent monitored. Include tiered plans with advanced features like custom dashboards and priority alerts, targeting businesses with multiple agents needing continuous oversight and scalability.
Sell perpetual licenses for on-premises deployment of agentfinobs to large enterprises in regulated industries like finance or healthcare. Provide additional revenue through premium support contracts, custom integration services, and training workshops for teams managing complex agent ecosystems.
Implement a pay-as-you-go model where customers are charged based on the volume of transactions tracked or metrics analyzed by agentfinobs. Integrate with existing payment rails to automate billing, appealing to startups and SMEs looking for flexible, low-entry cost solutions.
💬 Integration Tip
Start by integrating the SpendTracker with a single payment rail like x402/USDC for basic transaction logging, then gradually add BudgetManager rules to enforce spending limits as you scale.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...