Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DDS-Solutions/AI-TadPole-OS --skill server-managementgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/server-management)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/server-management"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/server-management.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00531 |
| Opus 5 | $0.00014 | $0.00266 |
| Sonnet 5 | $0.00005 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
server-management 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 4d 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
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / server-management
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Production Server Management Protocol
Purpose: Process supervision, telemetry monitoring, log rotation, and infrastructure scaling.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED operations rules below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide | Purpose | Trigger / When to Load |
|---|---|---|
references/pm2_and_systemd_configs.md |
Full systemd unit files, PM2 clustering configurations, log rotation directives | Configuring daemon services & process restarts |
⚙️ 1. Process Supervision Strategy
| Application Layer | Supervisor Mechanism | Core Capabilities |
|---|---|---|
Rust Backend (server-rs) |
systemd / Docker |
Native auto-restart, cgroup memory limits, file limits |
| Node.js Gateway / Front | PM2 / systemd |
Multi-core clustering, zero-downtime hot reload |
📊 2. Health Checks & Observability Baseline
- Liveness Endpoint:
/v1/healthmust return200 OKand fast boolean status. - Readiness Check: Inspect database connectivity (SQLite WAL mode active) before routing user traffic.
- Log Sanitation: Stream structured JSON logs (
tracing-subscriber); mask secret tokens and PII.
📈 3. Scaling Decision Matrix
Performance Bottleneck:
├── CPU Saturation (90%+) ➔ Horizontal scaling (Add cluster nodes)
├── Memory Growth / Leak ➔ Profile allocations; set max_memory_restart
└── Latency Spikes ➔ Inspect database indexes & connection pool
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 55 lines · 27 tokens per session scan A e7554936a363
server-management is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 531 once invoked, about $0.0001 per session on Opus 5. 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 2026-09-03.
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