# Aatmf T15 Human AI Coupling

AATMF T15, Human-AI Coupling.

- Repository: https://github.com/BitterSecurity/Decepticon (6507 stars)
- Category: Media
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add BitterSecurity/Decepticon --skill aatmf-t15-human-ai-coupling -g -a claude-code -y`
Codex: `npx skills add BitterSecurity/Decepticon --skill aatmf-t15-human-ai-coupling -g -a codex -y`
Cursor: `npx skills add BitterSecurity/Decepticon --skill aatmf-t15-human-ai-coupling -g -a cursor -y`
Gemini CLI: `npx skills add BitterSecurity/Decepticon --skill aatmf-t15-human-ai-coupling -g -a gemini-cli -y`

## Description

AATMF T15, Human-AI Coupling. Deepfake escalation, voice clone vishing, deepfake-image-driven social engineering, automation of human-targeted attacks.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# T15, Human-AI Coupling

The model's outputs interact w/ real humans at scale, producing harm
the model could not produce alone. T15 is where AI red-team meets
classical social engineering, multiplier effect from automation.

## Techniques

### T15.001, Voice clone vishing
Train voice-clone on ~30s sample of target's voice:
- ElevenLabs, RVC, OpenVoice models
- Call victim's contacts (spouse, employer, bank) impersonating
- High-confidence "emergency, send money now" scams

LLM contribution: real-time dialog generation matching personality
+ improvising in voice channel.

### T15.002, Deepfake-image-driven impersonation
Static + video deepfakes of executives, used in:
- Video calls to authorize wire transfers
- "Hostage" video for extortion
- Reputation damage via fake compromising content

LLM contribution: realistic surrounding context (email threads,
calendar invites, justification text).

### T15.003, Personalized phishing at scale
LLM generates phishing tailored to each victim from OSINT:
- Match writing style of executives the victim trusts
- Reference real shared projects from public sources
- Per-victim attack volume too high for traditional defense

### T15.004, Conversational SE bots
Automate the back-and-forth of social-engineering campaigns:
- Build trust over weeks of seemingly-organic messages
- Pivot to attack only when victim is engaged
- A100-scale parallelism, one operator runs 1000 conversations

### T15.005, Influence operations
At-scale generation of comments, posts, articles that move public
opinion. Adjacent to T8 (deception) but T15 emphasizes the
human-targeting + behavior-modification angle.

### T15.006, Bias / persuasion engineering
Model output tuned to maximize persuasion of specific demographics:
- A/B testing message variants against engagement signal
- Personalized argumentation
- Emotional-state-targeted content

The rest: https://github.com/BitterSecurity/Decepticon/blob/HEAD/packages/decepticon/decepticon/skills/plugins/llm-redteam/t15-human-ai-coupling/SKILL.md