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NFT Mint Monitor
by
deeplearning1993
· GitHub ↗
· v1.0.0
344
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Install in OpenClaw
/install nft-mint-monitor
Description
NFT铸造监控,追踪即将铸造的热门NFT项目,提醒mint时间。每次调用收费0.001 USDT。触发词:NFT铸造、mint监控、NFT提醒、白名单mint。
Usage Guidance
Do not send money or assume the skill will enforce payments or provide live monitoring. The included python script only prints simulated data and contains no network/payment logic. Before installing or paying: (1) ask the publisher for source that actually fetches live NFT data and proof of payment processing; (2) request code that verifies payments (on-chain tx check or API) and inspect it; (3) run the script in a sandbox and audit for network calls; (4) verify the publisher identity and why a wallet is required; (5) prefer skills that use documented APIs and transparent billing. If the author can supply updated code implementing the advertised features (network fetches, API keys only for the NFT services used, and payment verification), the assessment could be revisited.
Capability Analysis
Type: OpenClaw Skill
Name: nft-mint-monitor
Version: 1.0.0
The skill bundle exhibits deceptive behavior by claiming to charge a fee (0.001 USDT) per execution and providing a specific wallet address (0x64f15739932c144b54ad12eb05a02ea64f755a53) in SKILL.md. The Python script scripts/nft_mint_monitor.py returns hardcoded mock data and prints a fake payment confirmation message. While the code lacks traditional malware capabilities like data exfiltration or RCE, the solicitation of funds for mock services suggests a social engineering or scam attempt targeting the user or the agent's potential payment capabilities.
Capability Assessment
Purpose & Capability
Name/description promise: live tracking (Twitter/community signals) and charging 0.001 USDT to a wallet. Actual footprint: a local script that returns a hard-coded simulated list; no network calls, no Twitter API usage, and no payment enforcement. Requested resources (none) are proportionate, but the features claimed are not implemented.
Instruction Scope
SKILL.md tells users to run the included python script and prominently displays a wallet address and per-call fee. The runtime instructions do not show any steps that verify payment or fetch external data, so the documentation asks for payment while the runtime behavior does not require or enforce it — a mismatch that could be misleading.
Install Mechanism
No install spec and the only code is a small local Python script (no downloads, no external installers). This is low-risk from an installation/execution mechanism perspective.
Credentials
The skill requests no environment variables or credentials, which is consistent with the bundled local script. However, the SKILL.md includes a crypto wallet for payments (an external money endpoint) despite no code implementing or requiring payment; this is a red flag for potential social-engineering or billing confusion.
Persistence & Privilege
The skill does not request persistent or elevated privileges, is not marked always:true, and does not attempt to modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nft-mint-monitor - After installation, invoke the skill by name or use
/nft-mint-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
NFT铸造监控,0.001 USDT/次
Metadata
Frequently Asked Questions
What is NFT Mint Monitor?
NFT铸造监控,追踪即将铸造的热门NFT项目,提醒mint时间。每次调用收费0.001 USDT。触发词:NFT铸造、mint监控、NFT提醒、白名单mint。 It is an AI Agent Skill for Claude Code / OpenClaw, with 344 downloads so far.
How do I install NFT Mint Monitor?
Run "/install nft-mint-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is NFT Mint Monitor free?
Yes, NFT Mint Monitor is completely free (open-source). You can download, install and use it at no cost.
Which platforms does NFT Mint Monitor support?
NFT Mint Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created NFT Mint Monitor?
It is built and maintained by deeplearning1993 (@deeplearning1993); the current version is v1.0.0.
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