Borrowing it
Nothing to install: this file belongs to nathfavour/vibeauracle. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nathfavour/vibeauracle/master/.agent/skills/sys-intimacy/SKILL.mdgit clone --depth 1 https://github.com/nathfavour/vibeauracleWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nathfavour/vibeauracle/sys-intimacy)<a href="https://agentmods.dev/skills/nathfavour/vibeauracle/sys-intimacy"><img src="https://agentmods.dev/badge/skills/nathfavour/vibeauracle/sys-intimacy.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00231 |
| Opus 5 | $0.00000 | $0.00115 |
| Sonnet 5 | $0.00000 | $0.00046 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
sys-intimacy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
⚡ Skill: System Intimacy
This skill focuses on deepening the agent's awareness of the hardware and operating system environment.
🎯 Objective
Enable the agent to make intelligent decisions based on real-world system constraints (CPU, VRAM, CWD, OS).
🛠️ Instructions
1. Environment Awareness
- Use
sys.Monitorto get real-time snapshots. - When generating plans, always consider the user's OS (Arch Linux/KDE focus) and available resources.
2. Filesystem Abstraction
- Always use
sys.FSfor file operations to ensure potential sandboxing and consistency. - Prefer
sys_patchover full file rewrites for large files to save tokens and minimize system I/O.
3. Resource-Aware Inference
- If VRAM is low, the agent should proactively suggest switching to a smaller local model or a cloud provider.
✅ Verification
- Verify that system snapshots are correctly integrated into the prompt context in
internal/brain/brain.go. - Ensure tool executions like
shell_execare logged and monitored for resource spikes.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 24 lines · 0 tokens per session scan A 74c77edfb724
sys-intimacy is a skill published in the GitHub repository nathfavour/vibeauracle (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 231 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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