← 返回 Skills 市场
65
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install crypto-scam-red-flags
功能描述
A scam-screening skill that reviews offers, messages, or influencer claims and points out concrete red flags. Use when the user receives a suspicious offer,...
使用说明 (SKILL.md)
crypto-scam-red-flags
A scam-screening skill that reviews offers, messages, or influencer claims and points out concrete red flags.
Workflow
- Take the pasted message, offer text, DM, or campaign description.
- Look for urgency, guaranteed returns, impersonation, fake support behavior, secrecy, wallet-drain patterns, or emotional manipulation.
- Classify the situation: likely scam, suspicious, unclear, or low-obvious-risk.
- Explain why each red flag matters.
- Give the safest next step: do not click, verify independently, or walk away.
Output Format
- Risk verdict
- Red flags found
- Why they matter
- Safest next action
- What not to share or sign
Quality Bar
- Uses evidence from the supplied text, not vague fear.
- Stays practical and protective.
- Makes the user safer even when certainty is impossible.
- Avoids false confidence like "100% safe."
Edge Cases
- Some real promotions look spammy; say when independent verification is still needed.
- Cannot inspect links, smart contracts, or domains in real time.
Compatibility
- Best with pasted text or manually transcribed screenshot content.
- Prompt-only, strong complement to wallet safety education.
安全使用建议
This skill's description and SKILL.md look appropriate for scam screening, but handler.py contains a hard-coded local file read of /Users/jianghaidong/.openclaw/skills/{skill_name}/SKILL.md which is unnecessary and inconsistent. Before installing or enabling autonomous invocation: (1) ask the author why the handler reads that path and request removal or replacement with a safe, relative/resource-based read, (2) review or run the handler.py in a sandbox to confirm it doesn't exfiltrate or read unexpected files, and (3) avoid installing it on systems with sensitive local data until the file-access behavior is corrected. If the author cannot justify or fix the hard-coded path, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: crypto-scam-red-flags
Version: 1.0.0
The handler.py file contains a path traversal vulnerability in the _load_skill_meta function, which uses an unsanitized skill_name input to read files from the local filesystem. Furthermore, the code contains a hardcoded absolute path to a specific user's directory (/Users/jianghaidong/), which is highly irregular for a portable skill. While there is no explicit logic to exfiltrate the read data, these implementation flaws provide a mechanism for unauthorized file access.
能力标签
能力评估
Purpose & Capability
The skill claims to be prompt-only and to work from pasted text; it does not need to access the local filesystem. Yet handler.py calls _load_skill_meta which opens /Users/jianghaidong/.openclaw/skills/{skill_name}/SKILL.md — a hard-coded user-home path. Reading arbitrary local files is not justified by the scam-screening purpose and is disproportionate.
Instruction Scope
SKILL.md describes a prompt-only workflow and does not instruct reading local files. The handler code contradicts that by attempting to read a SKILL.md from a specific local path. That is scope creep: the runtime behavior (file I/O) is not documented in the skill instructions.
Install Mechanism
There is no install spec and no downloads or external installers. No additional packages or network installs are requested, so the install mechanism itself is low-risk.
Credentials
The skill declares no required env vars or credentials (appropriate), but the code accesses a hard-coded filesystem path in the user's home. Access to local files was not declared and is not proportional to the stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request persistent privileges or modify other skills. Autonomous invocation is allowed by default (normal), and there is no evidence it writes system-wide config.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install crypto-scam-red-flags - 安装完成后，直接呼叫该 Skill 的名称或使用
/crypto-scam-red-flags触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — screens crypto-related messages for scam red flags.
- Reviews offers, DMs, and claims, highlighting specific warning signs like urgency, guarantees, impersonation, and secrecy.
- Provides a risk verdict, explains detected red flags, and recommends the safest next action.
- Outlines what sensitive information not to share or sign.
- Ensures suggestions are evidence-based and focused on user safety.
- Stresses caution, never promising any message is "100% safe."
元数据
常见问题
Crypto Scam Red Flags 是什么？
A scam-screening skill that reviews offers, messages, or influencer claims and points out concrete red flags. Use when the user receives a suspicious offer,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 65 次。
如何安装 Crypto Scam Red Flags？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install crypto-scam-red-flags」即可一键安装，无需额外配置。
Crypto Scam Red Flags 是免费的吗？
是的，Crypto Scam Red Flags 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Crypto Scam Red Flags 支持哪些平台？
Crypto Scam Red Flags 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Crypto Scam Red Flags？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
推荐 Skills