Jac.

7 posts

Jac.

Jac.

@haorui117

Katılım Ağustos 2022
44 Takip Edilen8 Takipçiler
Jac.
Jac.@haorui117·
@Highentropy001 Very good insights and analysis, well done 👏👏👏
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Anneallab
Anneallab@Anneallab·
Anneal: Private RFQ for non-fungible options on Solana. One concentrated position. The competing agents. Bounded rounds. One cleared contract. Week 1-2 build for @colosseum Frontier. Here's our trailer 👇👇👇 #Solana #Colosseum #BuildInPublic
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Anneallab
Anneallab@Anneallab·
GUYS GUESS WHAT! Our team @whatthehackinsg just won a Top 12 prize at the @chainlink CRE Hackathon 🏆 535 submissions, 34 prizes, and Agent-Auction Protocol was our very first project together!! (our team has only existed for 2 months) xD Thank you #chainlink for the recognition, this means a lot to a young team still finding its feet! #chainlinkCRE
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Jac.
Jac.@haorui117·
Interesting idea, well done!
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AgentSec(A2S)
AgentSec(A2S)@DTINetwork_AI·
🦞 1/ OpenClaw hit ~209K GitHub stars (as of Feb 19, 2026). Within weeks, researchers reported: • 40,214 internet‑exposed instances • ~1.5M tokens exposed via MoltBook • ~900 malicious skills flagged • 1‑click RCE: CVE‑2026‑25253 We did a full security teardown. Here’s what we found 👇 2/ We used A2S (AgentSec Stack) — 6 layers to assess agent security: L1 Identity · L2 Cognition · L3 Orchestration · L4 Action · L5 Enforcement · L6 Evidence 3/ OpenClaw shows gaps in almost every layer. But one is catastrophic: L5 — Enforcement. 4/ L5 is the non‑bypassable, fail‑closed gate between what the model decides and what the system does. Without it, “agent safety” becomes wishful thinking. 5/ The results (Wiz / SecurityScorecard / Bitdefender / NVD): • MoltBook token exposure via broken Supabase RLS • 40K+ exposed deployments in the wild • ~900 malicious skills flagged across the ecosystem • CVE‑2026‑25253: 1 click → arbitrary command execution 6/ Full deep dive (sources + every layer + mitigations): agentsec.vercel.app/blogs-insights… #AgentSec #AISecurity #A2S #OpenClaw #MoltBook #AIAgents #PromptInjection #CVE #MCP
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Jac.
Jac.@haorui117·
@ZetaChain_CH @zyz_here 感谢ZetaChain支持,我们后续会继续优化~
ZetaChain 中文@ZetaChain_CH

🏆 最佳通用 AI 应用:Universal AI Market - 去中心化 AI 代理电商。开发者 @haorui117 @zyz_here 这是本次比赛中设计最成熟、体验最流畅的项目之一。它构建了一个AI x Web3与现实世界完美融合的场景:购物时无需用户亲自跨链或兑换 Gas,而是由 AI Agent全权代劳。 核心亮点: 1⃣ Agent 自动购物: 买家与卖家各拥有独立的 AI Agent,双方可自动进行价格谈判与撮合。 2⃣ 无感跨链: 无论用户持有 Base 链的资金还是想买 Polygon 链的商品,ZetaChain 都在底层完美解决跨链支付问题。 3⃣ 流畅体验: 界面交互(UI/UX)设计专业且丝滑,极大地降低了 Web3 电商的使用门槛。

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