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agentinel

Inspect this machine's live resource usage via the Agentinel CLI — find runaway / zombie / leaking AI-agent processes (Claude Code, Codex, Gemini, OpenCode, MCP & dev servers, Ollama…), duplicate sessions, heavy memory users, and reclaimable disk caches. Use when the user asks what's eating RAM/CPU/disk, whether they have forgotten or leaking agent sessions, which agents are still running, or wants a cleanup recommendation. Read-only — it never kills or deletes.

Quellinformationen

Repository
0x0funky/Agentinel
Letzte Quellaktivität
9. Juni 2026 um 11:22
Erkannte Sprache von SKILL.md
Englisch
Sterne
50
Forks
3

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
agentinel
description
Inspect this machine's live resource usage via the Agentinel CLI — find runaway / zombie / leaking AI-agent processes (Claude Code, Codex, Gemini, OpenCode, MCP & dev servers, Ollama…), duplicate sessions, heavy memory users, and reclaimable disk caches. Use when the user asks what's eating RAM/CPU/disk, whether they have forgotten or leaking agent sessions, which agents are still running, or wants a cleanup recommendation. Read-only — it never kills or deletes.
# Agentinel — local resource sentinel (CLI) Agentinel ships a zero-overhead CLI (~12 MB, no WebView) that snapshots every process on the machine, classifies AI-agent CLIs, and flags leaks / zombies / duplicate sessions / heavy disk. Use it to answer "what's going on with my machine right now" without guessing. ## When to use Trigger when the user asks things like: - "What's eating my RAM / CPU?" · "為什麼這麼吃記憶體?" · "什么最吃内存?" - "Do I have any zombie or forgotten agent sessions?" · "有沒有忘了關的 agent?" - "Which Claude / Codex sessions are still running?" - "Is anything leaking?" · "What can I clean up on disk?" · "磁碟可以清什麼?" ## How to run Run from the repo root (or anywhere `agent_monitor/` is importable). The wrapper `./agentinel` auto-finds a sibling `.venv`; otherwise use `python -m agent_monitor`. **Prefer `--json` for parsing**, fall back to the text table for display. ```bash agentinel scan --json # whole-system snapshot (parse this) agentinel scan --agents-only --json # AI agents only agentinel scan --top 50 # text table, top 50 agentinel advise # local AI CLI writes markdown advice agentinel advise --engine codex # pick the engine (claude|codex|gemini|opencode) agentinel doctor # which AI CLIs are installed + fallback order # (equivalently: python -m agent_monitor <subcommand> …) ``` ## What `scan --json` returns `{ system, processes[], findings[] }`: - **system**: `ram_used_gb`, `ram_total_gb`, `ram_pct`, `cpu_pct`, `swap_used_gb`, `swap_total_gb` - **processes[]**: `pid`, `label`, `category`, `project`, `mem_mb`, `cpu`, `age_hr`, `idle_min`, `parent_name`, `parent_alive`, `ports[]`, `children`, `cmdline` - **findings[]**: rule-engine anomalies — `{ severity, title, detail, pids, action }` ## How to respond 1. Summarize the 1–2 things that matter most (biggest RAM users, suspected leaks, idle zombies, duplicate sessions in the same project). 2. Cite concrete evidence: memory size/growth, `idle_min`, `parent_alive=false`, bound `ports`, child count. 3. Recommend **keep / end / watch** for each — but **do not kill or delete anything.** ## Safety - `scan` / `advise` / `doctor` are **read-only**. There is **no** CLI kill or cleanup — do not invent one. Destructive actions (kill / suspend / disk cleanup) live only in the GUI's confirm-to-run flow (`python agentinel.py`). If the user wants to act, point them there, or ask for explicit confirmation before running anything destructive.
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