AbstegoSweden

AI red-team tooling · agentic dev workflows · privacy-first AI clients · cross-platform automation

I build AI tooling, desktop clients, protocol frameworks, repo-audit systems, prompt-security workflows, and hardened developer environments.

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Focus

I work at the intersection of AI systems, security research, local-first tooling, and developer automation.

My main areas:

• AI red-team analysis and prompt-injection research
• Local-first AI desktop applications
• Venice API clients and workflow tooling
• Agentic repository auditing and automation protocols
• Cross-platform dev-environment bootstrapping
• CLI tooling for macOS, Windows, WSL2, Linux, and Termux
• Secure storage, API-key isolation, safety gates, and repo hygiene
• Prompt architecture for Codex, Kimi, Gemini, Claude, OpenCode, and other coding agents

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Current Build Direction

I am actively building a stack of tools around AI-assisted development and local/private AI workflows:

| Area | What I build |
|---|---|
| AI desktop clients | Electron/Tauri-style apps for chat, image generation, batch runs, research, model catalogs, local libraries, and diagnostics |
| Agent protocols | Structured execution frameworks for AI agents that need discovery, planning, implementation, verification, and reporting |
| Repo audit systems | Tools and prompts for exhaustive repository hygiene, security review, TODO generation, CI cleanup, and documentation sync |
| Prompt-security research | Prompt-injection interpretation, jailbreak analysis, adversarial prompt classification, and defensive prompt design |
| CLI workflows | Terminal-first AI tooling, shell integration, API wrappers, model runners, and provider configuration |
| Dev environment automation | Bootstrap scripts for macOS, Windows, WSL2, Linux, Git Bash, and Termux |

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Highlighted Projects

Venice Forge

Repository: spearchucker667/Venice-API-connector

An unofficial, third-party desktop client for the Venice API.

Core direction:

• Streaming AI chat
• Image generation and local gallery workflows
• Batch prompt automation
• Research/search mode
• Jina AI provider support
• Model catalog browsing
• Encrypted or isolated API-key storage
• Diagnostics and transport visibility
• Windows/macOS packaging
• Strong legal/disclaimer/documentation coverage
• Safety guard review and request-path hardening

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RUP Protocol

Repository: spearchucker667/RUP-Protocol

A repository-upgrade protocol for AI agents.

Core direction:

• Discovery → Planning → Execution → Verification
• Explicit agent I/O contracts
• Multi-language repo support
• CI, governance, testing, security, and docs workflows
• Structured failure handling
• Anti-hallucination verification rules
• Reproducible repository improvement loops

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HQE Workbench

Repository: spearchucker667/HQE-Workbench

A local-first engineering workbench for repository review and AI-assisted codebase analysis.

Core direction:

• Local repository scanning
• Security and hygiene reports
• Secret redaction
• LLM-assisted analysis
• Prompt libraries
• Encrypted chat/session handling
• Provider-agnostic AI workflow support
• Evidence-backed TODO generation

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Venice CLI / Venice AI Tooling

Repositories:

• spearchucker667/venice-cli
• spearchucker667/venice-ai-CLI
• spearchucker667/VeniceAI

Terminal-first tooling and experiments around the Venice API.

Focus areas:

• Chat from the command line
• Model selection
• Image generation
• Research/search flows
• TTS/STT and media endpoints
• API configuration
• Usage tracking
• Secure local config patterns
• Scriptable AI workflows

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Kimiko / Kimi Workflows

Repositories:

• spearchucker667/kimiko
• spearchucker667/kimi-cli_fayeblade

Projects and experiments around Kimi-style AI workflows, CLI tooling, repo automation, prompt systems, and themed AI/dev interfaces.

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Prompt + Evaluation Systems

Repositories:

• spearchucker667/VY-Prompt-Master
• spearchucker667/SnitchBench
• spearchucker667/leaked-system-prompts

Prompt research, model-behavior analysis, prompt architecture, and evaluation-oriented tooling.

Primary interests:

• Prompt-injection mechanics
• Model refusal/failure behavior
• System-prompt analysis
• Defensive prompt patterns
• Red-team artifact classification
• Benchmarking and behavioral comparison

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Technical Stack

Languages

!TypeScript
!JavaScript
!Python
!Rust
!Go
!PowerShell
!Bash

App / UI

!React
!Electron
!Tauri
!Tailwind CSS
!Vite

Dev / Ops

!Node.js
!npm
!pnpm
!GitHub Actions
!GitHub CLI
!Homebrew
!Docker

Environments

!macOS
!Windows
!WSL2
!Linux
!Android / Termux

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Build Principles

I care about tooling that is:

• Local-first where possible
• Private by default
• Scriptable
• Auditable
• Recoverable
• Cross-platform
• Documented
• Verifiable
• Usable by both humans and AI agents

I prefer complete, repeatable workflows over one-off fixes:

text
discover → plan → implement → validate → document → harden → ship

`

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Security / Red-Team Orientation

My security work focuses on understanding how AI systems fail under adversarial pressure.

Research areas:

• Prompt-injection chains
• Jailbreak payload analysis
• System-prompt leakage patterns
• Tool-call abuse paths
• Agent permission boundaries
• Unsafe request routing
• Model policy edge cases
• Defensive prompt and system design
• Safety guard placement and failure modes

My goal is to make AI tools more inspectable, controllable, and harder to misuse.

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Repo Hygiene Philosophy

For serious repos, I optimize toward:

• clean root directories
• accurate README files
• complete docs
• no stale TODO sprawl
• visible architecture
• predictable scripts
• reproducible builds
• CI that actually proves something
• typed code
• security gates
• explicit assumptions
• clear release notes
• useful issue templates
• no hidden manual steps

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Current Interests

• Venice API desktop tooling
• AI model catalog UX
• Jina AI research integration
• social/profile discovery tooling
• agentic repo-review prompts
• Electron security boundaries
• encrypted local storage
• prompt-injection defense
• Kimi / Codex / Gemini / OpenCode workflows
• cross-platform bootstrap scripts
• GitHub Actions release pipelines
• macOS + Windows + WSL2 dev stack parity

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Selected Links

• GitHub: github.com/spearchucker667
• Venice Forge: spearchucker667/Venice-API-connector
• RUP Protocol: spearchucker667/RUP-Protocol
• HQE Workbench: spearchucker667/HQE-Workbench
• Venice CLI: spearchucker667/venice-cli
• Kimiko: spearchucker667/kimiko

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Building sharper AI tools, harder prompts, cleaner repos, and better local workflows.

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