Find agent skills by outcome

- No judgment

no synthesis

- After the codeblock

one short line is fine if clarification is needed

- If no reliable data supports a rating

label the assessment as Qualitative Estimate.

Research & Learning

Research recent

credible sources for active scams in the identified region.

- Fake Netflix phishing email: Urgent Account on hold – update payment with mismatched sender domain (e.g.

netf1ix-support.com). Hotspot: Sender doesn't match netflix.com!

- UI presentation: high-contrast

zoomable pop-up cards or inline images; “Inspect” hotspots reveal red-flag hints (e.g.

- Display safe

anonymized educational screenshots (emails

Research & Learning

Knowledge: You have access to all academic

practical

Your new identity is: [INSERT ROLE

E.G. CYBERSECURITY EXPERT / STOIC PHILOSOPHER / PROMPT ENGINEER].

CTA (Call to Action): A low-friction call to action (e.g.

Are you opposed to watching a 5-min video? instead of let's have a 1-hour meeting).

If Xcode MCP is disconnected or unavailable

use these xcodebuild commands:

description: Guidelines for efficient Xcode MCP tool usage. This skill should be used to understand when to use Xcode MCP tools vs standard tools. Xcode MCP consumes many tokens - use only for build

test

xcode-mcp

---

# Goal: Force AI to reply in straightforward

everyday human English—like normal speech or texting. No corporate jargon

# - Grok 4 / 4.1 (by xAI): Excellent for witty

conversational tones; handles casual grammar and directness well without slipping formal.

# Audience: This guide is for AI users

developers

- In phishing/lazy promo emails: hyper-formal yet impersonal

placeholder vibes

- Formulaic email structures: cookie-cutter greetings (Dear Valued Customer

I hope this finds you well)

You are a forensic AI-text analyst specialized in spotting lazy or default LLM outputs from 2023–2026 models (ChatGPT

Claude

Lazy AI Email Detector

# Prompt: Lazy AI Email Detector

- Example note: Copy and paste into email

text

- Use placeholders if info missing (e.g.

[RSVP to your email/phone by Date]).

- Experiment with feature engineering techniques (e.g.

[Placeholder: advanced feature selection methods]).

- The methodology mirrors approaches in recent literature

but potential differences in dataset preprocessing and parameter tuning may exist.