OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill monitorgit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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/leoyeai/openclaw-master-skills/monitor)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/monitor"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/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/leoyeai/openclaw-master-skills/monitor"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/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 | $0.00048 | $0.00952 |
| Opus 5 | $0.00024 | $0.00476 |
| Sonnet 5 | $0.00010 | $0.00190 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
agent-bom-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 9d 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
agent-bom-monitor — Agent Fleet Monitor
Monitor agent fleet health, track trust scores, and manage agent lifecycle states across your AI infrastructure. Start a local dashboard server for continuous monitoring.
Install
pipx install agent-bom
agent-bom fleet sync # sync fleet state with latest scan
agent-bom fleet list # list all agents and trust scores
agent-bom serve # start local monitoring dashboard
When to Use
- "fleet" / "agent fleet"
- "watch agents" / "monitor agents"
- "runtime status"
- "trust scores"
- "fleet sync"
- "agent lifecycle"
- "serve dashboard" / "start dashboard"
Commands
# Sync fleet state with latest scan
agent-bom fleet sync
# List all agents with trust scores
agent-bom fleet list
# Start local monitoring dashboard
agent-bom serve
Examples
# Sync fleet
fleet_sync()
# List agents and trust scores
fleet_list()
# Start dashboard server
serve()
Example fleet list output:
Agent Fleet — 7 agents tracked
filesystem trust: 92 status: healthy last-scan: 2m ago
brave-search trust: 88 status: healthy last-scan: 2m ago
github trust: 95 status: healthy last-scan: 2m ago
slack trust: 71 status: warning last-scan: 2m ago [2 CVEs]
postgres trust: 84 status: healthy last-scan: 2m ago
linear trust: 90 status: healthy last-scan: 2m ago
notion trust: 67 status: at-risk last-scan: 2m ago [CRITICAL]
Guardrails
- Fleet monitoring is read-only — no agents are modified.
- The dashboard server runs on localhost only — no external exposure.
- Confirm with the user before starting
agent-bom serve— it binds a local port. - Trust scores are derived from local scan data; they do not contact external services.
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.
- 9d ago First seen · 121 lines · 48 tokens per session scan A aec0f321de42
agent-bom-monitor is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 952 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
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openclaw-auto-dream
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openclaw-ultra-scraping
Powerful web scraping, crawling, and data extraction with stealth anti-bot bypass. Bypasses anti-bot systems (Cloudflare Turnstile, CAPTCHAs) out of the box. Use when: (1) scraping websites that block normal requests, (2) extracting structured data from web pages, (3) crawling multiple pages with concurrency, (4)…
myclaw-backup
Backup and restore all OpenClaw configuration, agent memory, skills, and workspace data. Part of the MyClaw.ai (https://myclaw.ai) open skills ecosystem — the AI personal assistant platform that gives every user a full server with complete code control. Use when the user wants to create a snapshot of their OpenClaw…
agentsec
Audit AI agent skills for security vulnerabilities. Use when scanning installed skills against the OWASP Agentic Skills Top 10, checking skills before running them, gating CI/CD on skill safety, or generating audit reports (text, JSON, SARIF, HTML) for stakeholders.
create-teammate
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says…