REMASTER | Powering the Future of Dealmaking

1/ We are excited to announce a new partnership: @Remaster_io x Chalk Line powered by @campnetworkxyz! Together, we’re creating the next generation of #IP-centric apparel, fan products, and driving emerging opportunities. A thread...🧵

The payments industry just coined "KYA" — Know Your Agent. 3.1% revenue loss from bot-driven fraud. KYC doesn't work when your counterparty has no passport. Cryptographic identity. Deterministic delegation. Settlement receipts. The industry named the problem. Now they need the infrastructure. pymnts.com/artificial-int…

1/ Everyone's talking about agent capabilities. Nobody's talking about agent infrastructure. > Here's the four-layer stack that doesn't exist yet — and why nothing works without it. 🧵

@OpenAI, @Stripe, and @Google all just shipped #agent payment rails. None of them solved #identity. Your agent can now check out autonomously. It still can't prove who it is, who authorized it, or who's liable when it screws up. Payments without identity is highways without license plates. @openclaw

@gregisenberg Sounds like a legal and arbitration layer for agent to agent commerce will be necessary.

startup idea for you - linkedin for ai agents linkedin sold for $26.2b in 2016, what is the linkedin for ai agents worth in 2026? right now we have: - MCP registries (smithery, mcpt) → discover tools and servers - A2A agent cards → technical handshake protocol from google - agentops → observability for your own agents - directories → basic listings with no signal what we don't have: a way to answer "should i trust this agent with my codebase / customer data / production environment" that's what cool about linkedin is you can tell (somewhat) if someone is credible about a certain topic it isnt perfect obviously but its something here's what the linkedin for agents actually looks like: profiles - agent name / builder / version history - skills with verified benchmarks (not self-reported) - deployment count / uptime / error rates - integrations and compatible systems portfolio - what has this agent actually shipped - screenshots / demos / case studies - before/after metrics from real deployments reviews + endorsements - ratings from humans who deployed it - endorsements from other agents it collaborated with - red flags / incident history (transparency) trust score - composite reputation based on: task completion rate / security audit status / uptime / user satisfaction - decays over time if agent stops performing - portable across platforms network graph - which agents work well together - verified integrations - "frequently deployed with" recommendations how this makes money: 1. freemium profiles → basic free / premium features for serious agent builders ($29-99/mo) 2. verification fees → "verified agent" badge costs money. security audits. penetration testing. certification programs. ($500-5k per audit tier) 3. enterprise API → companies pay to search/filter/compare agents at scale. bulk queries. private rankings. compliance filters. ($10k+/yr) 4. placement fees → take 5-15% when an agent gets deployed in enterprise environment through your matching 5. data + analytics → sell anonymized insights on agent performance trends. "agents using claude opus have 34% higher completion rates" — that's valuable to everyone 6. insurance products → partner with insurers to offer "agent warranty" — if this agent breaks your prod, you're covered. take cut of premium 7. training marketplace → agent builders pay to access benchmarks / test suites / optimization guides to improve their agent's ranking 8. ads → agent builders pay for visibility. "featured agent" placements. sponsored search results. agents that perform well get discovered and deployed more. creates incentive loop for builders to optimize for quality not just vibes. right now agent discovery is word of mouth / X / github stars. that's how npm worked in 2012. we know how this evolves. why now: - gartner says 40%+ of enterprise workflows will involve agents by end of 2026 - langchain surveyed 1300 people - everyone's asking "how do we deploy reliably at scale" - google shipped A2A, anthropic shipped MCP, the protocol layer is forming - but the trust layer is missing protocols tell you HOW agents connect. linkedin for agents tells you WHETHER you should connect. note: this idea I got from @ideabrowser (more ideas there) the company that owns agent reputation owns the distribution layer for the entire agentic economy. that's a big company.

IP licensing today is slow, costly, and outdated. Creators and studios navigate months of legal negotiation before a single license is issued. “Camp is re-envisioning the licensing lifecycle by moving it into blockchain infrastructure. When contracts are verifiable onchain, IP can operate in line with how content is created and reused in the digital age.” Camp co-founder @niravmurthy on streamlining IP licensing.

@campnetworkxyz 🫡

I'm claiming my AI agent "receipts-guard" on @moltbook 🦞 Verification: shell-59F3

@ideabrowser clawhub.ai/lazaruseth/rec…

ok...the #1 most downloaded OpenClaw skill was malware.... A $2T+ security market was created overnight. Here are 7 startup ideas that someone's going to build and make $$$$: 1. Verified Publisher Registry (agent app store) Think app store verification but for agent skills. Cryptographic signing, reputation scores, community audits. This is the use case for web3 that actually makes sense. 2. Agent Identity Broker (agent property manager) Every agent has the keys to your entire house. This tool gives each agent its own login with only the access it needs. Like giving your assistant a key to the office but not your bedroom. Access expires automatically. You can revoke it anytime. 3. Agent Command Center (god view for enterprise) One dashboard that shows you exactly what every agent in your company is doing. What skills they installed, what data they touched, what commands they ran. Your IT and compliance team can see everything in real time without needing to be engineers. 4. AI Security Advisor (obvious and will be very competitive) Non-technical founders deploying agents need a security person the same way they need a CPA. Audit your setup. Lock it down. Monitor for breaches. $299/month per client. This is H&R Block for the AI agent economy. New professional category getting created right now. 5. Agent Cleanse (TSA for Agents) VirusTotal but specifically for agent skills. Every skill gets automatically scanned before install for obfuscated payloads, suspicious links, staged delivery patterns, and quarantine removal commands. Plug it into any registry. Charge registries and enterprises per scan. 6. Burner Credentials for Agents Time-bound API keys, temporary database access, disposable browser sessions. Think burner phones but for agent permissions. Everything expires automatically. If a skill goes rogue, the damage is contained because the credentials are already dead. 7. Agent Bouncer A lightweight browser extension that sits between your agent and your private data. Like an ad blocker but instead of blocking ads it blocks unauthorized access to your passwords, cookies, autofill data, and saved credentials. Your agent tries to grab something it shouldn't? Blocked. You get a notification. You decide what gets through and what doesn't. Always on, runs in the background, zero setup. Everyone wants a 24/7 AI employee working while they sleep. setup and security is the thing keeping founders up at night. Whoever builds on the trust layer for agents will win big over the next decade.

@DanielLockyer clawhub.ai/lazaruseth/rec…

malware found in the top downloaded skill on clawhub and so it begins

@pradeep24 clawhub.ai/lazaruseth/rec…

just scraped 4,784 AI agent skill repos from 5 registries 59% ship executable scripts 12% are completely empty some are shipping malware lots of dupes if you’re running a self-learning openclaw, a heads up. pradeep.md/2026/02/03/ai-…

@BusinessPlanSMB @DanielLockyer clawhub.ai/lazaruseth/rec…

This is terrifying. We're rushing into powerful AI agents so quickly that we're overlooking the most critical thing: security. The ClawHub malware mess is just the start - the exact same risks apply to hosted agents on external services. Your keys, data, everything is questionable.

@grok @woophoneio @DanielLockyer @grom clawhub.ai/lazaruseth/rec…

@woophoneio @DanielLockyer @grom The skill referenced is the "Twitter" skill on ClawHub, the top downloaded one, which delivered macOS infostealing malware like Atomic Stealer via malicious installation steps targeting credentials and keys.

This is exactly why we built receipts-guard. ✓ 100% local - no external API calls ✓ VirusTotal verified: Benign ✓ Open source, auditable code ✓ Captures every agreement before your agent accepts No dependencies to compromise. Your data never leaves your machine. clawhub.ai/lazaruseth/rec…

yikes this is bad, the #1 most downloaded openclaw skill on clawhub is malware thousands of people downloading malware on their clawdbots be very careful out there and remember don't touch bleeding edge if you aren't afraid of a little blood here and there

This is exactly why we built receipts-guard. ✓ 100% local - no external API calls ✓ VirusTotal verified: Benign ✓ Open source, auditable code ✓ Captures every agreement before your agent accepts No dependencies to compromise. Your data never leaves your machine. clawhub.ai/lazaruseth/rec…

Live now on ClawHub: receipts-guard Just drops into your OpenClaw setup. Zero config. Open source. MIT licensed. Built for agent autonomy. clawhub.ai/lazaruseth/rec…

We built RECEIPTS Guard - a local evidence layer for AI agents. Before your agent clicks "I agree": → Capture the full document → Hash it for immutability → Analyze for risk flags → Store locally on YOUR machine No API. No cloud. Your data stays local.

Your OpenClaw agent just agreed to: • Binding arbitration • Class action waiver • 30-day no refund policy • Data sharing with third parties Do you have proof? Do you even know what it agreed to? 🧵...

We are heavily leveraging AI to grow the birb. IP sorry about the price of RAM.

@kashvii Storytelling never left — we just keep renaming it whenever the distribution layer changes 😅 The 2025 version is: narrative + remix culture + *clean rights + fast payouts* so collabs can actually scale.

i can’t believe that storytelling is back as a buzzword i thought we left that behind in 2021 guys