T

Trading journal: Stonks, crypto, facepalms & lessons. Curious tech enthusiast sharing insights. Track trades/news for ‘aha’ moments—NFA.

[T @T37408765]

https://t.co/SyEcVsc0PJ

[T @T37408765]

You are an expert AI agent skill developer specialized in secure, user-controlled automation.

**Task**: Create or enhance a custom skill called `Personal_Digital_Security_Reset`.

**Source**
Why I’m sharing it: After seeing recent AI-powered threats (Kalif team using Mythos AI for a macOS M5 kernel exploit delivered to Apple + Google stopping the first AI zero-day mass exploitation), I decided to raise my baseline defenses. I figured others might find it useful too.

This skill is based on the personal security checklist created by T (@T37408765) in May 2026.
This is T’s own personal checklist. Feel free to implement it, but please keep the credit to the original author: T (@T37408765).

**Skill Goal**:
Help the user run a structured, recurring digital security reset (monthly or quarterly) using a practical, up-to-date checklist.

**Core Content** (Use this exact content as the foundation of the skill):

My Personal Digital Security Reset – May 2026
by T (@T37408765)

This is my own personal security checklist that I created for myself.

Disclaimer: These are my personal notes only — not professional advice. Do your own research and verify everything with official sources. Use at your own risk.

[Full Checklist Content – Immediate Actions through Final Thought]

**MANDATORY INSTRUCTIONS FOR YOU (the Agent):**

1. **SCAN FIRST**
Search your current skill library for any existing skills related to security checklist, privacy audit, digital defense, monthly reset, or similar. Report exactly what you find.

2. **If a similar skill exists**:
- Analyze it in detail
- Suggest specific enhancements this new content can add
- Provide a merged or improved version while keeping clear credit to T (@T37408765)

3. **If no similar skill exists**:
- Create a completely new skill

4. **Core Safety & Human-in-the-Loop Requirements**:
- Always require explicit human approval before making any configuration changes
- Include a safe verification mode that only checks (does not change) current settings
- Support recurring execution (e.g. monthly)
- Strictly respect all user-defined security guardrails and preferences
- Never suggest disabling 2FA, biometrics, backups, or any security feature
- Include clear warnings about trade-offs and friction
- Require “test one change at a time” and recent encrypted backups

5. **Output Format**:
- Section 1: Scan Results & Analysis
- Section 2: Full Skill Code / Prompt (ready to copy-paste)
- Section 3: Step-by-step safe installation and testing instructions for the user

Begin execution now.

[T @T37408765]

🧵 My Personal Security Notes (AI threats rising)
Disclaimer (Important – Please Read):
This entire thread is my personal notes to myself — a quick reference sheet I created for my own use. It is NOT professional advice, NOT a recommendation, and NOT a substitute for your own research. Security features change over time, results vary by device and OS version, and what works for me might not fit your situation. Always verify everything yourself using official Apple, Google, or router documentation. Use at your own risk. I’m just sharing my private checklist publicly.

[T @T37408765]

Instructions for You (Human)
1. Copy everything inside the COPY-PASTE FOR AGENT block below.

2. Paste it directly into your local agent (Claude, Cursor, Codex, Aider, etc.).

3. The agent will scan your existing skills first, then create or enhance the skill with full safety measures.

[T @T37408765]

Revisit in 6 months to verify this is a bottom or a fake out.

https://t.co/hnN0ei1E4k

[T @T37408765]

Revisit in 6 weeks for new updates.

[Garry Tan @garrytan]

I'm telling most everyone I know that they should build a personal OpenClaw

[Hasan Toor @hasantoxr]

🚨BREAKING: Google DeepMind dropped a paper that changes how AI agents will work forever.

It's called Intelligent AI Delegation and it's a full framework for AI agents to safely hand off tasks to other AI agents and humans.

No brittle heuristics. No ad-hoc handoffs. No accountability black holes.

Here's how it works:

The framework runs across 5 core pillars:
→ Dynamic Assessment: agents evaluate each other's real-time capabilities before delegating
→ Adaptive Execution: mid-task re-delegation when things go wrong
→ Structural Transparency: every step is auditable, not a black box
→ Scalable Market Coordination: decentralized bidding systems where agents compete for tasks
→ Systemic Resilience: hard stops before cascading failures hit

Here's the wildest part:

They borrowed concepts from aviation and medicine to explain why AI agents blindly follow bad instructions the same way junior doctors don't question senior surgeons.

And they built a fix for it.

This isn't just theory. They mapped it onto real protocols like MCP, A2A, and AP2 and showed exactly what's missing from each one.

This is the infrastructure layer the agentic web has been waiting for.

Full paper link in first comment 👇

[Alex Finn @AlexFinn]

Everything you need to master in 2026 to get rich:

• Vibe coding
• OpenClaw
• Running your own local models
• Codex
• Karpathy's Autoresearch
• Building an X audience
• Creating videos
• AI agent swarms
• How machine learning works
• How databases work (been using Convex)
• Using API's
• Training your own LoRAs
• Elimination of doom scrolling

[Alex Finn @AlexFinn]

I've used OpenClaw for over 210 hours the last month

More than anyone on Earth

In this video I go over EVERY single lesson I've learned about OpenClaw.

From set up, to use cases, to why VPSs suck, to security. Everything

The only OpenClaw video you'll ever need is here: