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Security audit

A股每日复盘模板

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple A-share review-template generator that writes user-requested Markdown files and does not show hidden, network, credential, persistence, or destructive behavior.

Install only if you want Chinese-language A-share trading review templates. Use the default output directory or choose --output carefully, because the script writes directly to that path and may overwrite an existing Markdown file.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (5)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
95% confidence
Finding

The skill instructs the agent to write Markdown files to user-controlled paths such as ~/a-share-reviews/... or an arbitrary --output location, but it does not declare any tool scope or permission constraints. That creates an authorization gap where file-write capability may be available without explicit limitation, increasing the risk of unintended overwrites or writes to sensitive locations if the command is invoked with crafted output paths.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

This Python skill’s user-facing description and generated templates are all Chinese-language only, and the CLI help text later follows the same pattern. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless the locale constraint is explicitly justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

This markdown file applies to the natural-language policy category, which includes language or locale policy violations. The README presents all user-facing instructions exclusively in Chinese and does not provide an opt-in, alternative language, or justification that the skill is region- or language-specific.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
99% confidence
Finding

The top-level documentation states '支持6种复盘风格', but TEMPLATES includes seven keys: 情绪、龙头、趋势、数据、个人、游资、完整. This is an active contradiction between the file documentation and the implemented functionality.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Low
Category
Not specified by scanner
Confidence
98% confidence
Finding

The manifest says the skill supports 'auto-filled data fields' and mentions 7 styles. In the implementation, template generation only fills {date} and {time} via string formatting, while all market data fields remain blank placeholders like '___'; the available styles are simply static template variants. This creates a mismatch between the advertised level of data population and the actual behavior.

Content

No source excerpt is available for this finding.