funky-fund-flamingoRepair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles. Get paid. Evolve. Repeat. Dolla dolla bill y'all.
Install via ClawdBot CLI:
clawdbot install icemastert/funky-fund-flamingoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://clawhub.aiAI Analysis
The skill's primary risk is the potential for unsafe shell commands (eval) and an external call to its own homepage (clawhub.ai) for metadata, which aligns with its stated purpose of self-evolution and reporting. There is no evidence of credential harvesting, data exfiltration, hidden instructions, or obfuscation of malicious behavior.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
An e-commerce company uses an AI chatbot for customer support, but it frequently breaks or repeats responses, causing lost sales. This skill analyzes session logs to identify and repair these issues, ensuring the chatbot remains functional and continues generating revenue by handling inquiries effectively.
A content agency relies on AI agents to generate social media posts and articles, but the output quality stagnates over time. By running mutation cycles, this skill optimizes the agent's skills to produce more engaging and profitable content, aligning with client goals and increasing service value.
A fintech startup uses an AI agent to provide basic financial advice, but it struggles with accuracy and personalization. This skill inspects memory and user context to evolve the agent's capabilities, improving its recommendations and helping the startup monetize through premium advisory services.
A healthcare provider employs an AI agent for patient triage and information retrieval, but downtime leads to service interruptions. This skill prioritizes repair-first evolution to maintain reliability, ensuring continuous operation and supporting revenue from telehealth consultations.
An online learning platform uses AI tutors that become repetitive, reducing student engagement. This skill runs cycles to expand and personalize the agent's teaching methods, enhancing learning outcomes and driving subscription renewals and upsells.
Offer ongoing evolution cycles as a service, where clients pay a monthly fee for continuous optimization and repair of their AI agents. This ensures agents remain effective and revenue-generating, with tiers based on usage frequency and complexity.
Charge based on the concrete gains achieved, such as increased sales or reduced downtime, measured through the skill's reporting. This aligns incentives with client success, taking a percentage of revenue improvements or fixed fees per successful mutation cycle.
License the skill to other AI platforms or developers, allowing them to integrate self-evolution capabilities into their products. Revenue comes from licensing fees or revenue-sharing agreements, leveraging the skill's local-only and repair-first features.
💬 Integration Tip
Start by running the skill in --dry-run mode to generate prompts locally, then integrate with a cloud model only after reviewing outputs to control data privacy and costs.
Scored May 30, 2026
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