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 agentmods add commands/ramsbaby/jarvis/statusgit clone --depth 1 https://github.com/Ramsbaby/jarvisWrote 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/commands/ramsbaby/jarvis/status)<a href="https://agentmods.dev/commands/ramsbaby/jarvis/status"><img src="https://agentmods.dev/badge/commands/ramsbaby/jarvis/status.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 | $0.00056 | $0.00685 |
| Opus 5 | $0.00028 | $0.00342 |
| Sonnet 5 | $0.00011 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade C, and why
status scanned grade C with 2 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 3d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s --max-time 2 http://localhost:61208/api/4/cpu | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'CPU: {d[\"total\"]}%')" 2>/dev/null || echo "Glances 응답 없음" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s --max-time 2 http://localhost:61208/api/4/cpu | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'CPU: {d[\"total\"]}%')" 2>/dev/null || echo "Glances 응답 없음" What it actually says
서비스 전체 상태 대시보드
Jarvis AI 시스템 전체 서비스 상태를 한눈에 보여주세요.
점검 항목 (모두 실행)
1. LaunchAgent 상태
launchctl list | grep -E "jarvis|glances"
2. Jarvis 핵심 서비스
# Discord bot 프로세스
ps aux | grep "discord-bot.js" | grep -v grep
# Watchdog 최근 로그
tail -3 ~/.jarvis/logs/watchdog.log
# 헬스 상태
cat ~/.jarvis/state/health.json
3. 시스템 리소스
vm_stat | head -5
df -h / | tail -1
uptime
4. 크론 상태
# 최근 실행 결과
tail -20 ~/.jarvis/logs/cron.log | grep -E "START|DONE|FAIL"
# 활성 크론 수
crontab -l | grep -v "^#" | grep -c jarvis
5. RAG 인덱서
tail -3 ~/.jarvis/logs/rag-index.log
6. 알림 시스템
# ntfy 토픽
jq -r '.ntfy.topic' ~/.jarvis/config/monitoring.json 2>/dev/null || echo "설정 확인 필요"
# Discord Webhook
jq -r '.discord.webhook_url' ~/.jarvis/config/monitoring.json 2>/dev/null | head -c 60
7. Glances 웹 대시보드
curl -s --max-time 2 http://localhost:61208/api/4/cpu | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'CPU: {d[\"total\"]}%')" 2>/dev/null || echo "Glances 응답 없음"
출력 형식
📊 Jarvis Status Dashboard
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ LaunchAgents
ai.jarvis.discord-bot ✅ PID xxxxx
ai.jarvis.watchdog ✅ loaded (interval)
ai.openclaw.glances ✅ PID xxxxx (61208)
🤖 Jarvis 코어
Discord bot ✅ running (XMB)
Watchdog ✅ last: healthy
RAG indexer ✅ XXXX chunks, XXX sources
🖥️ System
CPU: X% | RAM: X/16GB | Disk: X%
Uptime: X days
⏰ 크론: X개 active
최근: [task] SUCCESS/FAIL
🔔 알림
Discord webhook ✅
ntfy ✅ openclaw-f101e56cb98a
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
문제 항목은 ❌로 표시하고 복구 방법 안내.
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.
- 3d ago First seen · 89 lines · 56 tokens per session scan C 54822ba16996
status is a command published in the GitHub repository Ramsbaby/jarvis (15 stars, last pushed 11d ago), licensed MIT. It adds 56 tokens to every session and 685 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
bm
Ask basemind anything about the current codebase — outlines, refs, callers, git history, blame, diffs, docs, memory.
bm-scan
Build or refresh the basemind index by running basemind scan via the CLI — works without the MCP server (use it when basemind reports "no index" / "no indexed files").
harden
Run the real-OSS harden harness against the 8 canary repos.
serve
Start the basemind MCP stdio server.
bm-doctor
Diagnose and recover basemind when it isn't working (MCP tools missing/erroring, "no index", dead server) — runs CLI checks and gives the client-specific way to reconnect the server.
bm-statusline
Enable the basemind status line in your Claude Code user settings (one-time setup).