Maintainer of this skill?
Automated security scan — not a certification.
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
# Add to your Claude Code skills
git clone https://github.com/AbuZar-Ansarii/PocketStrikeLast scanned: 10/26/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-10-26T09:45:00.723Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how PocketStrike compares with popular alternatives.
PocketStrike is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AbuZar-Ansarii. PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation. It has 146 GitHub stars.
Yes. PocketStrike passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AbuZar-Ansarii/PocketStrike" and add it to your Claude Code skills directory (see the Installation section above).
PocketStrike is primarily written in Dart. It is open-source under AbuZar-Ansarii on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh PocketStrike against similar tools.
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30 days in the Featured rail · terms & refunds
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Executive Multi-Provider & 100% Offline AI Workstation for Android & Mobile
Bridge the gap between Cloud Frontier LLMs, Local On-Device GGUF Inference, Unlimited AI Image Synthesis, Model Context Protocol (MCP), and Self-Evolving Cross-Session Memory.
PocketStrike/
├── android/ # Native Android configurations, ProGuard rules, & NDK bridges
├── lib/
│ ├── app/ # Theme, Glass Tokens, & Router configuration
│ ├── core/ # Drift SQLite Database, DAOs, Models, Notifications & Services
│ │ ├── db/ # Drift tables & queries
│ │ ├── models/ # Provider-agnostic chat models & metrics
│ │ └── services/ # Android notification & background download service
│ ├── shared/ # Glassmorphic UI components, code blocks & custom icons
│ └── features/
│ ├── agent/ # ReAct Agent Engine, Steps, & Built-in Tools
│ ├── chat/ # Chat UI shell, input bar, message cards & speed badges
│ ├── conversations/ # History drawer & thread management
│ ├── local_models/ # Native GGUF inference runtime, model downloader & presets
│ ├── mcp/ # MCP protocol client (Streamable HTTP & SSE) & marketplace
│ ├── providers/ # Multi-provider gateways (OpenAI, Claude, Gemini, DeepSeek, Ollama)
│ ├── settings/ # Local models, MCP, Storage, API keys, & Hermes memory UI
│ └── telegram/ # Telegram Bot autonomous background relay service
└── test/ # Unit and widget test suite
⚡ X.X tok/s): Live generation throughput metric displayed dynamically in the bottom-right corner of the AI response container./image <prompt>) with custom aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4), interactive zoom/pan viewer, and 1-tap gallery downloads.USER.md, MEMORY.md, and SOUL.md files that autonomously learn your personality, preferences, and context across sessions./storage/emulated/0/Download and app documents.graph TD
A[Flutter Glassmorphism UI] --> B[Riverpod State Controllers]
B --> C[Chat & Agent Coordinator]
C --> D[Local AI Engine]
C --> E[Cloud Multi-Provider Gateway]
C --> F[ReAct Agent Engine]
C --> G[Hermes Memory Core]
C --> H[Neural Image Synthesizer]
D --> D1[Native llama.cpp ARM NEON Bridge]
D --> D2[Offline GGUF Weight Store]
D --> D3[Background Download Manager]
E --> E1[OpenAI / Claude / Gemini / DeepSeek / Ollama / OpenRouter]
F --> F1[Built-In Mobile Tools]
F --> F2[MCP Server Transport HTTP / SSE]
G --> G1[USER.md / MEMORY.md / SOUL.md]
H --> H1[Turbo Diffusion Engine & Local Caching]
| Model Name | Parameters | Quantization | RAM Footprint | Category | Key Capability |
|---|---|---|---|---|---|
| SmolLM2-135M-Instruct-heretic | 135M | Q4_K_M |
~150 MB | 🔥 Uncensored | Ultra-compact, near-zero RAM footprint, zero alignment refusals |
| SmolLM2-360M-Instruct-Heretic | 360M | Q4_K_M |
~350 MB | 🔥 Uncensored | Balanced reasoning & instruction-following without guardrails |
| Llama-3.2-1B-Abliterated | 1.2B | Q4_K_M |
~950 MB | 🔥 Uncensored | Unrestricted creative writing, coding, and general assistance |
| Qwen2.5-0.5B-Instruct | 0.5B | Q4_K_M |
~450 MB | 💬 Standard | Multilingual instruction following & fast summaries |
| Llama-3.2-1B-Instruct | 1.2B | Q4_K_M |
~950 MB | 💬 Standard | Official Meta 1B model, high quality formatting & reasoning |
| DeepSeek-R1-Distill-Qwen-1.5B | 1.5B | Q4_K_M |
~1.3 GB | 💬 Standard | Distilled reasoning model with chain-of-thought output |
| Llama-3.2-3B-Instruct | 3.2B | Q4_K_M |
~2.1 GB | 💬 Standard | Comprehensive complex multi-step reasoning & coding |
| SD-Turbo-Image-Gen | Diffusion | FP16 |
~1.8 GB | 🎨 Image Gen | Fast single-step local image generation |
Generate images directly in any conversation using natural language:
# Square (1:1)
/image cyberpunk neon samurai meditating in rain
# Widescreen (16:9)
/image futuristic electric sports car speeding through tokyo 16:9
# Mobile Wallpaper (9:16)
/image breathtaking bioluminescent alien forest at night 9:16
# Natural Language Phrases
draw a cute fluffy orange cat wearing an astronaut helmet
generate an image of a medieval library filled with glowing crystals
>= 3.29.0>= 3.12.0git clone https://github.com/your-username/PocketStrike.git
cd PocketStrike
flutter pub get
# Static analysis (0 warnings / errors)
flutter analyze
# Unit & widget test suite
flutter test
flutter run -d <device_id>
flutter build apk --release
The optimized release APK will be generated at:
build/app/outputs/flutter-apk/app-release.apk
delete_file, overwrite_file) require explicit confirmation depending on your chosen policy (Destructive Only, Always Ask, or Autonomous).flutter_secure_storage.PocketStrike is open-source software licensed under the MIT License.