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 agentwallex-openclawgit 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/agentwallex-openclaw)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agentwallex-openclaw"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agentwallex-openclaw/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/agentwallex-openclaw"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agentwallex-openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 11 findings, up to high
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 →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Tool Misuse · line 113 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 113 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 206 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 458 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 308 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 338 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 430 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 475 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 493 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00031 | $0.04717 |
| Opus 5 | $0.00015 | $0.02358 |
| Sonnet 5 | $0.00006 | $0.00943 |
| Haiku 4.5 | $0.00003 | $0.00472 |
Grade C, and why
agentwallex-openclaw 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 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf ~/.openclaw/agentwallex Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"openclaw": {"requires": {"bins": ["curl", "jq"], "configPaths": ["~/.openclaw/agentwallex/config.json"]}, "zeroConfig": false, "disableModelInvocation": false, "humanConfirmation": {"required": true, "actions How it starts
The opening of the file, as written. The whole thing — 538 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentWallex Payment Skill
What It Does
The AgentWallex Payment skill gives AI agents core capabilities for managing agents and crypto payments:
- Zero-config setup — Set up AgentWallex through conversation. No config files or environment variables needed.
- Create and manage agents — Create, update, suspend, and delete AI agents with dedicated wallets.
- Multi-chain support — Operate across Ethereum, BSC, and Tron networks.
- Check token balances — Query available, locked, and pending balances for any agent wallet on supported chains.
- Send outbound transfers — Create and submit on-chain USDC/USDT transfers to any recipient address.
- Query transaction status — Track payment lifecycle from pending through confirmed or failed, with full tx hash details.
Supported Chains & Tokens
Mainnet
| Chain | Tokens | Address Format |
|---|---|---|
| Ethereum | USDC, USDT | 0x... (42 chars) |
| BSC | USDC, USDT | 0x... (42 chars) |
| Tron | USDT | T... (34 chars) |
Sandbox (Testnet)
| Chain | Network | Tokens |
|---|---|---|
| Ethereum | Sepolia | USDC, USDT |
| BSC | BSC Testnet | USDC, USDT |
| Tron | Nile Testnet | USDT |
Start with sandbox for development and testing. Sandbox transactions use testnet tokens and don't cost real money.
Requirements
| Requirement | Details |
|---|---|
| System binaries | curl, jq |
No API key or environment variable is needed upfront — credentials are configured through conversation and stored locally.
Setup
Install via ClawHub:
clawhub install agentwallex-openclaw
Then tell your AI agent:
"Set up AgentWallex"
The agent will use the agentwallex_setup tool and guide you through:
- Opening the AgentWallex Dashboard (sandbox) or Production Dashboard
- Signing in with Google
- Creating an API key (starts with
awx_) - Copying your Agent ID
- Pasting the credentials back — they're validated and saved automatically
What ships with it
2 files 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 · 538 lines · 31 tokens per session scan C 057c8268ddee
agentwallex-openclaw is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 4,717 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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