context
OWNEX — Autonomous Work Operating System: opportunity discovery, security automation, agent orchestration, local-first AI routing, revenue intelligence. Python/FastAPI + Vue 3 + Tauri.
Install / Use
npx skills add AdriDob/OWNEXInstalls into whichever agent you are using.
Our assessment of context
context scores 51/100 on our quality scale, 1101st of 1,119 Security skills we index.
Its .clinerules is 2.0 KB long, split into 7 sections and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-09-25 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-23. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
context compared with similar skills
All 4 of these similar skills score higher than context; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| context (this skill)by AdriDob | 51 | 0 | — | .clinerules |
| Agent-Reachby Panniantong | 100 | 100.1k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 76.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 88.8k | 1d ago | MCP Server |
| crawl4aiby unclecode | 100 | 85.9k | today | MCP Server |
Frequently asked questions
- How do I install context?
- Run
npx skills add AdriDob/OWNEX. The install tabs above show the steps for each supported agent. - Which AI agents does context work with?
- It is written for Cline, as a .clinerules file. Other agents that read the same format can often use it too.
- Is context safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is context still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubCATEYE — Contexto del proyecto
Resumen
CATEYE es un sistema autónomo de bug bounty intelligence. Automatiza el ciclo completo: descubrimiento de objetivos, análisis de superficie, reconocimiento, generación de hipótesis, validación, reporte, y envío a plataformas.
Estado actual
- Versión: 1.6.0 (Stable)
- Backend: ~87% completo, 48+ módulos en
cores/ - Frontend: ~90% migrado de React a Vue 3, ~40 páginas
- Tests backend: ~40% cobertura
- Tests frontend: ~0% cobertura
- Desktop: PyInstaller + NSIS installer
Módulos clave
| Módulo | Propósito |
|---|---|
| cores/agents/ | Sistema multi-agente (8 agentes: Coordinator, Research, Validator, Exploit, Documentation, Strategy, Memory, Financial) |
| cores/ai/ | Proveedores de IA (Ollama, OpenAI, OpenRouter), agente con tool-calling |
| cores/recon/ | Herramientas de reconocimiento (subfinder, amass, httpx, nuclei, ffuf, katana, gau, etc.) |
| cores/validation/ | Pipeline de validación y veredicto |
| cores/reporting/ | Generación de reportes |
| cores/orion/ | CATEYE Context Engine, Next Action, Opportunity Analyzer |
| api/routers/ | 50+ routers REST |
Arquitectura
- Monolito modular. Todo corre en un solo proceso.
- EventBus para comunicación interna.
- Watchdog con auto-recovery y auto-healing.
- Pipeline state machine para el ciclo de bug bounty.
URLs importantes
- API:
http://localhost:8000 - Frontend dev:
http://localhost:5173 - Ollama:
http://localhost:11434
Perfiles de Cline
Cline tiene 5 perfiles intercambiables con .cline/scripts/switch-profile.sh:
github— GPT-4o via GitHub Models (mejor calidad, 50 req/día, 100% gratis)google— Gemini 2.5 Flash via Google AI Studio (500 req/día, 100% gratis)openrouter-free— Router automático con 27+ modelos gratislocal— Ollama offline (Qwen3 Coder 32B)emergency— Gemini 2.5 Flash pago (~$0.30/M tok)
El perfil github es el recomendado por calidad/precio. Si el usuario se queda sin requests, sugerí cambiar de perfil.
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headroom
76.5kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Scrapling
88.8k🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
crawl4ai
85.9kOpen-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.