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 ai-scam-defensegit 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/ai-scam-defense)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-scam-defense"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-scam-defense/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/ai-scam-defense"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-scam-defense.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 15 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00062 | $0.05035 |
| Opus 5 | $0.00031 | $0.02518 |
| Sonnet 5 | $0.00012 | $0.01007 |
| Haiku 4.5 | $0.00006 | $0.00504 |
Grade A, and why
ai-scam-defense 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.
How it starts
The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Scam Defense
Scammers now have access to the same AI tools as everyone else, and they're using them to run fraud that would have been science fiction three years ago. Cloned voices that sound exactly like your mother. Deepfake video calls from your "boss." Phishing emails with zero typos and perfect personalization. Fake job interviews conducted entirely by AI. This skill covers the new generation of AI-powered scams — how they work, how to spot them, and what to do if you've already been hit.
# Localization note — AI scam tactics are global. Reporting agencies are jurisdiction-specific.
# Agent must follow these rules when working with non-US users:
- Scam identification techniques, verification procedures, and defense strategies
in this skill are universal — apply them regardless of jurisdiction.
- Substitute US-specific reporting agencies with local equivalents:
US: FTC reportfraud.ftc.gov, FBI IC3 ic3.gov
UK: Action Fraud actionfraud.police.uk
Australia: ACCC Scamwatch scamwatch.gov.au
Canada: Canadian Anti-Fraud Centre antifraudcentre.ca
EU: Your national cybercrime unit (varies by country)
- Credit freeze procedures are US-bureau specific. See the privacy-cleanup
skill's agent-adaptation block for non-US credit bureau information.
- FINRA/SEC references are US-only. For investment scam verification:
UK: FCA register register.fca.org.uk
AU: ASIC moneysmart.gov.au
CA: CSA securities-administrators.ca
- If scam involves banking fraud: always direct to local bank's fraud line
FIRST (before any other step), as rapid reporting can stop transfers.
Sources & Verification
- FTC fraud reporting: reportfraud.ftc.gov — verified active as of March 2026
- FBI IC3 (Internet Crime Complaint Center): ic3.gov
- FINRA BrokerCheck: brokercheck.finra.org
- SEC EDGAR database: sec.gov/edgar
- Identity theft recovery: identitytheft.gov (FTC)
- Credit freeze procedures: Equifax, Experian, TransUnion — direct consumer pages
- Voice cloning technology overview: Stupp, C., "Fraudsters Used AI to Mimic CEO's Voice in Unusual Cybercrime Case," Wall Street Journal, 2019
- Deepfake video transfer case ($25M): CNN, "Finance worker pays out $25 million after video call with deepfake CFO," February 2024
- FDIC consumer guidance on AI-enhanced fraud: fdic.gov/resources/consumers
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.
- 9d ago First seen · 460 lines · 62 tokens per session scan A d77140577175
ai-scam-defense is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 5,035 once invoked, about $0.0003 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.
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