The real risks behind https://t.co/t1D9O8UJfc’s new AI agent “Skills” update** https://t.co/t1D9O8UJfc just introduced “Skills” for onchain AI agents. These agents can trade https://t.co/t1D9O8UJfc tokens, launch new coins, interact with fees, and enable tokenized agent models with mechanisms like buyback and burn tied to activity. An open-source repository has also been released. On paper, this pushes toward a more automated, “agent-driven” crypto economy. At the same time, it builds on a platform where prior data shows a very high rate of short-lived tokens and pump-and-dump-like behavior. For example, analysis by Solidus Labs found that roughly 98%+ of tokens on similar systems exhibit patterns consistent with these dynamics. The expected effects are straightforward: more activity, faster execution, and continuous participation through automation. That likely increases volume and experimentation in the short term. What’s less clear is how risk is managed. From publicly available information, there are no detailed disclosures yet around audits, abuse prevention systems, or standards for third-party Skills. There’s also limited clarity on how agent permissions and wallet access are structured. That uncertainty matters, especially given how these systems can behave under automation. AI agents are already known to be vulnerable to issues like prompt injection, malicious integrations, and unintended execution of instructions. Introducing open-ended, community-contributed “Skills” could expand that attack surface if safeguards are not in place. Automation also changes market dynamics. Bot-driven trading and early-entry advantages already exist in these environments. More advanced automation could increase the speed and scale at which strategies are deployed, which may make it harder for participants to distinguish between organic activity and coordinated behavior. There are also open questions around how mechanisms like automated buybacks function in practice, particularly in low-liquidity environments where price impact can be significant. To be clear, there are upsides here. Lower barriers to experimentation, new types of autonomous tools, and open development can all drive innovation. Not every project in this ecosystem is malicious, and the model itself isn’t inherently designed for abuse. But historically, these environments have been highly asymmetric, with outcomes often favoring early or more sophisticated participants. **Bottom line:** This update expands what’s possible on https://t.co/t1D9O8UJfc, especially around automation and agent-based interaction. It also introduces new layers of complexity and potential risk that aren’t fully detailed yet. As with any early-stage system, it’s worth approaching with caution, verifying how tools work before using them, and understanding the broader dynamics at play. As always, they drop it and let the market figure it out for itself chaos unfolds while they sit back enjoying their slice of the ignorance pie. #PumpFun #Solana #AIAgents #CryptoRisks