Security audit

Crypto Trading Bot V7

Security checks for vulnerabilities and agentic risk

Overview

The skill is openly about crypto trading automation, but it promotes live exchange/webhook trading without enough user safety controls around real orders, losses, or API keys.

Review carefully before installing. Treat any generated exchange-integration code as capable of placing real trades: use sandbox or paper trading first, require explicit confirmation before live execution, use API keys without withdrawal permission, and store/rotate secrets safely.

A.I.G

Vulnerability Patterns

Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns

Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (9)

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 95)May include surrounding context.
md
**V7多周期短线策略** (`scripts/v7_strategy/backtest_engine_v7.py`)

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 94% confidence
Finding: This skill explicitly promotes automated execution against exchange APIs and webhook-driven trading, but it does not warn that outputs may place real orders, lose funds, or require highly sensitive API credentials. In a crypto-trading context, omission of these warnings materially increases the chance that users will connect live accounts or over-trust generated automation, leading to financial loss or credential exposure.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 95% confidence
Finding: This file contains user-facing natural-language descriptions, comments, and docstrings entirely in Chinese. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless the locale restriction is explicitly justified or an alternative is offered.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 88% confidence
Finding: The module docstring and user-facing print strings are written in Chinese, which imposes a specific language/locale on users without any opt-in or documented justification. The policy requires either offering a language choice or clearly documenting a justified locale constraint.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 90% confidence
Finding: This plain-text skill content is entirely written as a fixed Chinese response and does not indicate that the user can choose another language or locale. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless the locale restriction is explicitly documented and justified.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 88% confidence
Finding: The visible natural-language description and headings are presented entirely in Chinese, and the file does not indicate that users may choose another language or that the skill is intentionally limited to a Chinese-speaking region. Under the stated policy, a fixed language without user opt-in can be a locale-policy issue.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 90% confidence
Finding: This plain-text file is fully written in Chinese and does not indicate that the user can choose another language or that the content is intentionally limited to a Chinese-speaking audience. Under the stated policy, forcing a specific language without user opt-in is a natural-language policy concern.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 93% confidence
Finding: The entire skill description is written in Chinese and does not indicate that other languages are supported or that Chinese is an opt-in locale. Under the policy rule for language or locale constraints, this is a natural-language locale limitation that is not explicitly justified as region-specific.
Content: No source excerpt is available for this finding.

Missing User Warnings

Low

Category: Not specified by scanner
Confidence: 93% confidence
Finding: This Python file performs a filesystem write by exporting results to /home/user/.openclaw/workspace/v7_result_{ts}.xlsx. While the operation is visible in code, there is no docstring or comment near the save action warning that the script will create a file, and no confirmation prompt before doing so.
Content: No source excerpt is available for this finding.