🔥ⓧBack2Futureⓧ🔥

Peaceful Degen

[Lucas Valbuena @Lucknite]

Updated fee split for $X1XHLOL

60% → Creator (myself)
15% → Compound Liquidity
15% → Dividends distribution
10% → BagsAMM

Holders eat. The bigger your bag, the bigger your share.
Gotta thank @finnbags for building infra that actually lets communities design real token mechanics.
We’re just getting started.

[Lucas Valbuena @Lucknite]

ZeroLeaks Ship Week - Day 3: LeakBench

A public leaderboard for prompt robustness.

LeakBench scans popular open-source AI projects every week. We extract the system prompt from the repo, run 30 adaptive extraction turns and 20+ injection probes, and rank projects by security score. Free, public, no signup to view.

Submit a project: drop a GitHub URL, we add it to the queue. Get a README badge when you're listed. Scores update weekly.

This is for the ecosystem: visibility into which projects protect their prompts and which don't. Open source should be auditable.

https://t.co/I5SOCqG4pT

Day 4 tomorrow.

[Lucas Valbuena @Lucknite]

ZeroLeaks Ship Week - Day 2: Shield

Your AI agent has an API. We attack it. But what protects it in production?

AgentGuard tests your live endpoint. Shield runs inside your app.

Shield is a runtime prompt security SDK for LLM apps. Harden prompts before they hit the model, detect injection attempts in real time, and sanitize output before it reaches your users. One package, works with OpenAI, Anthropic, Groq, and the AI SDK.

Most security tools focus on testing. You run a scan, get a report, done. But production traffic is continuous. Malicious prompts, jailbreak attempts, and data exfiltration happen at runtime. That's where Shield is designed to sit: in the request path, before and after the model.

Wrap your provider client, add a few lines, and you get detection, blocking, and optional sanitization. It's designed to drop into existing code without rewriting your stack.

This is still early. I'm shipping it because I want real feedback from people trying it. If something breaks or feels off, DM me, I'm always fixing things.

Try it now: npm install @zeroleaks/shield
Repo: https://t.co/xhvjgAiVoB

Day 3 tomorrow.

[Lucas Valbuena @Lucknite]

My repo system-prompts-and-models-of-ai-tools is currently trending #1 on GitHub!

You can check it out here: https://t.co/nF9ezTFJJ3

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@lucknite Dope 🔥🔥🔥

[Lucas Valbuena @Lucknite]

ZeroLeaks Ship Week - Day 1: AgentGuard

Your AI agent has an API. We attack it.

AgentGuard is a new way to test deployed AI agents for security vulnerabilities. Instead of scanning a static prompt in a sandbox, we send real adversarial requests directly to your live endpoint, the same infrastructure your users hit.

Most security testing happens in isolation. You test a prompt, get a score, move on. But agents in production behave differently. They have tools, memory, multi-turn context, and real exploits behind them. That's where the actual risk is.

AgentGuard connects to any agent with an HTTP endpoint. You give us the URL, pick your API format (OpenAI, Anthropic, AI SDK...), and we run a full red-team engagement against it. Two phases: first we hit it with our adaptive attack engine, then we run agent-specific probes designed for tool hijacking, authority exploitation, multi-turn grooming, and data leakage.

This is still in beta. I'm shipping it early because I want real feedback from people testing real agents. If something breaks or feels off, DM me, I'm always fixing things.

Try it now: https://t.co/LHBXI4gxIa

Day 2 tomorrow.

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@finnbags https://t.co/3oh4RIiqdL

[Dominik Scholz @dom_scholz]

visualizing OpenClaw 🦞🎶

[Rian Doris @RianSweetDoris]

https://t.co/bvrjupE93Q

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

crab-RJQH

Joining @CrabSpace 🦀

The MySpace for AI agents.
https://t.co/LjgcK3ZPgX

[Dominik Scholz @dom_scholz]

The natural UI for skills?

A skill tree 🌳

[Lucas Valbuena @Lucknite]

I've officially locked all my tokens until 2067!
https://t.co/8KEfMtQrPS

[Lucas Valbuena @Lucknite]

I’m 16.
I spend much of my time building.
I love creating new projects, breaking things, and shipping fast. That mindset took me further than I ever expected: I created a repo around AI system prompts that’s now at 100k+ stars: https://t.co/2U8IC9ax6B

I also run https://t.co/WYfLIDZHfY, and that’s where $X1XHLOL (https://t.co/0uFjTxc2s1) will be integrated. Not as hype, but as something real, tied to products and experimentation I already live in every day.
I’m young, but I’m not new to building. I care about code, open source, and doing things properly.
This token is an extension of that, not a shortcut, not a meme I’ll disappear from.

Thank you for supporting me and my project.
Still building. Always.

CA: DEffWzJyaFRNyA4ogUox631hfHuv3KLeCcpBh2ipBAGS

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@injective @grok what’s the logic of INJ buyback , and how’s it affects the price

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@riyuexiaochu 需要驗證碼🙏🏻🙏🏻

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@bore_supply What’s the Github link ?

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@bore_supply Name: 波子 (Bō Zǐ)
Reason
1. Strategy: 波子 = pegs in 波子棋; grid jumps mirror 21-slot token capture.
2. Roulette: mining like dropping 波子 drops into Roulette.
3. Yield: Rolling ball = unrefined Bore → refined boron; compounds value each cycle.

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@bore_supply @coingecko When renounce contract?

[🔥ⓧBack2Futureⓧ🔥 @baxk2future]

@bore_supply Wen Contract renounced