Ae1
High
- Category
- analysis-evasion
- Content
**V7多周期短线策略** (`scripts/v7_strategy/backtest_engine_v7.py`)
- Confidence
- 100% confidence
- Finding
- Referenced artifact was not completely inspected
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.
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
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)
Missing User Warnings
Medium
- 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.
Natural-Language Policy Violations
Medium
- 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.
Natural-Language Policy Violations
Medium
- 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.
Natural-Language Policy Violations
Medium
- 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.
Natural-Language Policy Violations
Low
- 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.
Natural-Language Policy Violations
Low
- 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.
Natural-Language Policy Violations
Low
- 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.
Missing User Warnings
Low
- 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.
Static analysis
No suspicious patterns detected.