Echo Agent is a self-hosted, long-running AI agent that connects language models, tools, memory, permissions, and messaging channels in one system. Individuals and teams use it for private automation that retains context across sessions, develops skills, schedules tasks, and requires approval for high-risk actions.
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 fuyuxiang/echo-agent --skill system-monitorgit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/system-monitor)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/system-monitor"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/system-monitor/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/fuyuxiang/echo-agent/system-monitor"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/system-monitor.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 | $0.00025 | $0.00519 |
| Opus 5 | $0.00013 | $0.00260 |
| Sonnet 5 | $0.00005 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
system-monitor 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.
What it actually says
System Monitor
System health monitoring with configurable alert thresholds.
Quick Status
# macOS
top -l 1 | head -10
df -h | grep -v tmpfs
# Linux
free -h && uptime
df -h | grep -v tmpfs
Script (psutil-based)
pip install psutil
python3 scripts/system_check.py status # full report
python3 scripts/system_check.py cpu # CPU only
python3 scripts/system_check.py memory # Memory only
python3 scripts/system_check.py disk # Disk only
python3 scripts/system_check.py processes # top consumers
python3 scripts/system_check.py alerts # check thresholds
Output Example
System Status Report — 2026-06-13 14:30
CPU: 23.5% (8 cores)
Memory: 12.4/16.0 GB (77.5%)
Disk /: 180/500 GB (36.0%)
Load: 2.1 / 1.8 / 1.5
Uptime: 14 days, 3:22:10
Top Processes (CPU):
1. python3 (pid 1234) — 15.2% CPU, 1.2 GB RAM
2. node (pid 5678) — 8.1% CPU, 800 MB RAM
Alert Configuration
~/.echo-agent/monitor.yaml:
thresholds:
cpu_percent: 90
memory_percent: 85
disk_percent: 90
load_average_5m: 8.0
check_interval: "*/5 * * * *"
alert_channel: telegram
Integration
Schedule with cron channel (*/5 * * * *) to check every 5 minutes. When thresholds are exceeded, alert is sent through configured channel.
Monitoring Stack (Optional)
For persistent monitoring with dashboards, consider:
- Prometheus + Grafana (heavy but powerful)
- Glances (
pip install glances) — terminal dashboard - psutil + SQLite for historical data
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.
- 12d ago First seen · 78 lines · 25 tokens per session scan A 81cb8597cc3d
system-monitor is a skill published in the GitHub repository fuyuxiang/echo-agent (1,057 stars, last pushed 10d ago), licensed MIT. It adds 25 tokens to every session and 519 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 2026-08-30.
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learning-capture
Log corrections, errors, and discoveries to orbital/LESSONS.md so future sessions avoid repeating mistakes.