AI prompt research hero

A curated archive of prompt-injection, jailbreak, persona-conditioning, and response-format experiments collected across several language-model families.

Research collection, not a guarantee. These files are preserved for controlled evaluation, red-teaming, and defensive research. Model behavior changes over time, and a prompt that appears effective in one environment may fail in another.

Overview

This repository organizes experimental prompts that attempt to alter model behavior, override instruction hierarchies, impose unusual response formats, or expose differences between model configurations. The collection is intentionally preserved as a practical corpus for researchers, evaluators, and developers who want to study robustness rather than rely on anecdotal claims.

The archive currently contains 19 prompt files spanning DeepSeek, Gemini, GLM, Grok, Kimi, Qwen, Sonnet, ChatGPT, and other model-oriented experiments. Files are kept close to their original form so that provenance and reproducibility are not lost.

Research themes

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Theme What to look for Related files
Instruction hierarchy Attempts to replace, reorder, or supersede higher-priority instructions 3rd deepseek, better jb deepseek, deepseekjb.txt, grok jb
Role and persona conditioning Prompts that establish a persistent identity, voice, or behavioral frame glmjb, kimijb.md, qwen 3.8, sonnet 4.6 jb
Response-format control Strict prefixes, tags, line limits, narration rules, or structured output constraints deepseek thinking, deepseek v4, v sonnet 4.6(2nd), qwen 3.8
Cross-model variants Similar patterns adapted for different model families or versions chatgptjb.txt, antigravity jb.txt, gem gemini 3.5 AND 3.6, glm 5.3
Adversarial robustness Prompts designed to test refusal boundaries, persistence, and resistance to conflicting directives The full collection, evaluated only in authorized environments

Visual index

Instruction hierarchy

Instruction hierarchy

Role conditioning

Role conditioning

Output-format control

Output-format control

Reasoning-trace formatting

Reasoning-trace formatting

Adversarial override testing

Adversarial override testing

File index

File Model or target Format
3rd deepseek DeepSeek Plain text
antigravity jb.txt Antigravity Plain text
better jb deepseek DeepSeek Plain text
Auto JB Maker - Weaker Models.txt Model-agnostic (card maker) Plain text
chatgptjb.txt ChatGPT Plain text
DaVinci Codex Sonnet 4.6 Jailbreak.txt Sonnet Plain text
deepseek thinking DeepSeek Plain text
deepseek v4 DeepSeek Plain text
Deepseek V4 Jailbreak.txt DeepSeek Plain text
Deepseek V4 Universal App Jailbreak.txt DeepSeek Plain text
deepseekjb.txt DeepSeek Plain text
gem gemini 3.5 AND 3.6 Gemini Plain text
glm 5.3 GLM Plain text
glmjb GLM Plain text
grok jb Grok Plain text
kimijb.md Kimi Markdown
qwen 3.8 Qwen Plain text
sonnet 4.6 jb Sonnet Plain text
v sonnet 4.6(2nd) Sonnet Plain text

Suggested evaluation workflow

Use an isolated test environment and record the model name, version, system configuration, sampling settings, date, prompt variant, and observed response. Compare results across repeated trials instead of treating a single successful or unsuccessful response as conclusive evidence.

For responsible testing, do not use these prompts to bypass safeguards on systems you do not own or have explicit permission to evaluate. Do not submit sensitive personal data, confidential documents, credentials, malware, or real-world operational targets to a model during experiments.

Disclaimer

This repository is an archival and educational resource. It does not endorse harmful, unlawful, deceptive, or unauthorized use. The maintainer and contributors make no claim that any prompt works, remains effective, or should be used outside an explicitly authorized evaluation environment.