How should openclaw-skill-ram-monitor be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

openclaw-skill-ram-monitor answer-first brief

RAM Monitor Skill RAM Monitor Skill **Purpose:** Monitor RAM usage with tiered alerts and automatic process killing at critical levels. Overview This skill monitors system RAM usage and takes action based on configurable thresholds: - **< 90%** → Silence (no alert, no action) - **90-94%** → Alert via Telegram with top memory consumers (monitoring only) - **95%+** → Kill priority processes (Brave, iTerm2, safe-to-kill), then ask user D Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

openclaw-skill-ram-monitor is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

openclaw-skill-ram-monitor

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Manthis

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/manthis/openclaw-skill-ram-monitor.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Manthis

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

bash

git clone https://github.com/manthis/openclaw-skill-ram-monitor.git ~/.openclaw/workspace/skills/ram-monitor
cp ~/.openclaw/workspace/skills/ram-monitor/scripts/check-ram-usage.sh ~/bin/
chmod +x ~/bin/check-ram-usage.sh

bash

~/bin/check-ram-usage.sh          # Run with real kills
~/bin/check-ram-usage.sh --dry-run # Test mode (no kills)

markdown

## RAM Monitoring (every heartbeat)
- Run `~/bin/check-ram-usage.sh`
- If level=warning (90-94%) → Alert Telegram with top processes
- If level=critical (95%+) → Alert Telegram with killed processes, ask Max if more needed
- If level=ok → Silence

bash

RAM_JSON=$(~/bin/check-ram-usage.sh)
LEVEL=$(echo "$RAM_JSON" | jq -r '.level')

if [ "$LEVEL" == "warning" ]; then
    # Send alert with top processes list
elif [ "$LEVEL" == "critical" ]; then
    # Send alert with killed processes + ask Max
fi

json

{
  "timestamp": "2026-02-18T20:00:00Z",
  "ram_pct": 92.5,
  "ram_used_gb": 14.80,
  "ram_total_gb": 16.00,
  "level": "warning",
  "top_processes": [
    {"pid": 1234, "name": "Brave", "ram_mb": 2048.0, "user": "manthis"}
  ],
  "killed": []
}

text

⚠️ RAM Warning: 92.5%

Memory: 14.80GB / 16.00GB

Top Memory Consumers:
1. Brave Browser - 2048MB
2. iTerm2 - 512MB
3. node - 384MB

No action taken. Monitoring...

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

RAM Monitor Skill

Purpose: Monitor RAM usage with tiered alerts and automatic process killing at critical levels.

Overview

This skill monitors system RAM usage and takes action based on configurable thresholds:

< 90% → Silence (no alert, no action)
90-94% → Alert via Telegram with top memory consumers (monitoring only)
95%+ → Kill priority processes (Brave, iTerm2, safe-to-kill), then ask user

Designed to integrate with OpenClaw's heartbeat system for periodic monitoring.

Features

Tiered response - Alert-only at 90%, auto-kill at 95%
Priority killing - Brave Browser → iTerm2 → safe-to-kill processes
Strict protection - Never kills openclaw-gateway, Beeper, or system processes
JSON output - Structured data for easy parsing
Kill logging - All kills logged to ~/logs/ram-kills.log
Dry-run mode - Test without actually killing anything

Requirements

bash (4.0+)
top - System monitoring (standard on macOS)
bc - Floating point calculations
ps - Process listing (standard)

Installation

Quick Install

git clone https://github.com/manthis/openclaw-skill-ram-monitor.git ~/.openclaw/workspace/skills/ram-monitor
cp ~/.openclaw/workspace/skills/ram-monitor/scripts/check-ram-usage.sh ~/bin/
chmod +x ~/bin/check-ram-usage.sh

Configuration

Thresholds

| Threshold | Level | Action | |-----------|-------|--------| | < 90% | ok | Silence | | 90-94% | warning | Alert with top processes | | ≥ 95% | critical | Kill priority processes + alert |

Protected Processes (NEVER killed)

openclaw-gateway
Beeper (all processes)
System processes (kernel_task, WindowServer, launchd, loginwindow, systemstats, sshd)
Processes owned by system users (_*)

Kill Priority at 95%

ALL Brave Browser processes
ALL iTerm2 processes
Safe-to-kill processes (node orphans, test runners, cache/build processes)

After killing → agent asks Max if more action needed.

Usage

Standalone

~/bin/check-ram-usage.sh          # Run with real kills
~/bin/check-ram-usage.sh --dry-run # Test mode (no kills)

Integration with OpenClaw HEARTBEAT

Add to HEARTBEAT.md:

## RAM Monitoring (every heartbeat)
- Run `~/bin/check-ram-usage.sh`
- If level=warning (90-94%) → Alert Telegram with top processes
- If level=critical (95%+) → Alert Telegram with killed processes, ask Max if more needed
- If level=ok → Silence

Agent behavior:

RAM_JSON=$(~/bin/check-ram-usage.sh)
LEVEL=$(echo "$RAM_JSON" | jq -r '.level')

if [ "$LEVEL" == "warning" ]; then
    # Send alert with top processes list
elif [ "$LEVEL" == "critical" ]; then
    # Send alert with killed processes + ask Max
fi

Output Format

JSON Structure

{
  "timestamp": "2026-02-18T20:00:00Z",
  "ram_pct": 92.5,
  "ram_used_gb": 14.80,
  "ram_total_gb": 16.00,
  "level": "warning",
  "top_processes": [
    {"pid": 1234, "name": "Brave", "ram_mb": 2048.0, "user": "manthis"}
  ],
  "killed": []
}

Alert Examples

Warning (90-94%):

⚠️ RAM Warning: 92.5%

Memory: 14.80GB / 16.00GB

Top Memory Consumers:
1. Brave Browser - 2048MB
2. iTerm2 - 512MB
3. node - 384MB

No action taken. Monitoring...

Critical (95%+):

🚨 RAM Critical: 96.2%

Memory: 15.39GB / 16.00GB

KILLED PROCESSES:
- Brave Browser (PID 1234) - 2048MB
- iTerm2 (PID 5678) - 512MB

Top Remaining Processes:
1. kernel_task - 1024MB (protected)

Freed ~2560MB. Need more cleanup?

Kill Log

All kills are logged to ~/logs/ram-kills.log:

# Format: timestamp | PID | process_name | ram_mb | reason
2026-02-18T20:00:00Z | 1234 | Brave Browser | 2048.0 | 95% - Brave priority kill

Security Considerations

No hardcoded credentials
Read-only operations below 95%
Protected process list prevents catastrophic kills
Dry-run mode for safe testing
All kills logged for audit

License

MIT License

Author

Created for OpenClaw by Maxime Auburtin

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/snapshot"

curl -s "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/contract"

curl -s "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T03:46:01.360Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Manthis",
    "href": "https://github.com/manthis/openclaw-skill-ram-monitor",
    "sourceUrl": "https://github.com/manthis/openclaw-skill-ram-monitor",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:53.008Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:53.008Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/manthis-openclaw-skill-ram-monitor/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]