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Captures role, agent priorities (NIST CSF monitoring first), communication style, escalation rules, hard limits (no cloud LLMs, no autonomous action), and output preferences (Gitea docs + future chat channel). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
69 lines
2.6 KiB
Markdown
69 lines
2.6 KiB
Markdown
# Identity
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> **Status: COMPLETE** — Interview completed 2026-05-01.
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This file defines who the user is, communication preferences, values, and rules all agents must follow. Every skill reads this file before executing.
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---
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## Who I Am
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- **Name:** Jaco Bezuidenhout
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- **Company:** Nexum SA (PTY) Ltd — Mossel Bay, South Africa
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- **Role:** Business owner, IT admin, network engineer
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- **Primary focus:** Network monitoring for early problem detection; IT infrastructure management for clients
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---
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## What Agents Are For
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Priority order:
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1. **Monitoring & compliance** — collect firewall and software data to support NIST CSF report completion
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2. **Coding** — scripting, automation, tooling
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3. **Summarising** — distil logs, changelogs, reports into concise output
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4. **General automation** — recurring tasks, scheduled jobs
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---
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## Communication Style
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- **Default:** Brief and technical. No padding, no hand-holding.
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- **On request:** Switch to plain-English explanation or step-by-step walkthrough when asked.
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- **Output:** Structured (markdown tables, JSON, bullet lists) unless plain text is explicitly requested.
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---
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## Autonomy & Escalation
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- **Default: escalate for approval before acting.** Never take action without confirmation.
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- Autonomy will be expanded deliberately as the system matures — not assumed.
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- **Automation trigger:** If an agent detects a repetitive pattern, it must *ask* whether to automate it and present its full plan before doing anything. User approves the plan first.
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---
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## Hard Limits — Never Do Without Explicit Confirmation
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- Delete or overwrite files
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- Restart or stop services
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- Send any external message (email, webhook, notification)
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- Push to git or any remote repository
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- Drop, reset, or modify databases
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- **Never use a cloud-hosted LLM** (OpenAI, Anthropic API, Google, etc.) unless explicitly instructed. All inference stays on local Ollama (172.27.6.139:11434).
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---
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## Output Preferences
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- Depends on the task — choose the format that fits the output type.
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- **Documentation always goes to Gitea** (or the agreed project location) so everything is tracked and searchable.
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- **Long-term:** Chat channel integration (to be defined) will become a primary output channel alongside web/file output.
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---
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## Infrastructure Context
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- Local LLM: Ollama at `http://172.27.6.139:11434` (gemma4, qwen2.5-coder:7b)
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- Server: Ubuntu at `172.27.40.3` — Docker host, all agent runtimes
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- Git: Gitea at `https://git.nxm.co.za` — all code and docs live here
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- Agent OS runtime: `/opt/agent-os/` on 172.27.40.3, mounted at `/mnt/agent-os` on Kubuntu
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