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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 | $0.00028 | $0.01043 |
| Opus 5.5 | $0.00011 | $0.00417 |
| Sonnet 5.5 | $0.00006 | $0.00209 |
| Haiku 4.5 | $0.00003 | $0.00104 |
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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / server-management
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Zombie worker processes, unmonitored memory leaks, or missing process restart policies.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Production Server Management Protocol
Purpose: Standardize process supervision, daemon auto-restarts, structured logging, health check endpoints, and infrastructure scaling across backend nodes.
Workflow Bindings: Integrated into/deployand/status.
🎯 Progressive Disclosure & L3 Reference Index
Read the core Sovereign 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 |
scripts/health_monitor.py |
Automated health check validator and systemd unit configuration auditor | Validating health check payloads and supervisor configs |
⚙️ 1. Process Supervision Strategy
| Application Layer | Supervisor Mechanism | Core Capabilities |
|---|---|---|
Rust Backend (server-rs) |
systemd / Docker |
Native auto-restart, cgroup memory limits, file limits (LimitNOFILE=65536) |
| Node.js Gateway / Front | PM2 / systemd |
Multi-core clustering, zero-downtime hot reload, memory threshold restarts |
📊 2. Health Checks & Observability Baseline
- Liveness Endpoint:
/v1/healthmust return200 OKand fast boolean status ({"status": "ok"}). - Readiness Check: Inspect database connectivity (SQLite WAL mode active) before routing incoming user traffic.
- Log Sanitation: Stream structured JSON logs (
tracing-subscriber); mask secret tokens and customer PII.
What ships with it
2 files 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.
- 12d ago Changed · +27 lines · +1 tokens per session 06c502085170
- 1mo 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 28 tokens to every session and 1,043 once invoked, about $0.0001 per session on Opus 5.5. 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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