Back to skill

Security audit

外币结算与汇兑损益核对(免费版)

Security checks for vulnerabilities and agentic risk

Overview

This skill is a local, purpose-aligned foreign-currency settlement worksheet checker with no evidence of network use, persistence, credential access, or hidden behavior.

Install this only if you are comfortable running a local Node-based checker on copied FX settlement table text. It does not appear to send data out or persist anything, but it is Chinese-oriented and covers only the free checks it lists, so do not treat a clean result as accounting, tax, or policy validation.

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
  • 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
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (6)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 45)May include surrounding context.

md
node scripts/run.mjs --sample # 先看样例

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 46)May include surrounding context.

md
node scripts/run.mjs --sample # 先看样例

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The file’s natural-language description, user advice, sample input headers, and returned guidance are entirely in Chinese, and there is no indication that the skill supports other languages or that the locale restriction is optional. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless clearly justified as region-specific.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

All user-facing descriptions, usage text, prompts, and output strings in this file are written exclusively in Chinese, with no indication that other languages are supported or that the user can choose their preferred language. Under the stated policy, forcing a specific language without user opt-in is a natural-language policy violation.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
85% confidence
Finding

The docstring says non-JSON input is treated as plain text material, giving 'directly pasted contract full text' as an example. Elsewhere in the file, the manifest-facing help and insufficient-input logic consistently require an 外币结算核对表 with headers, so this comment overstates acceptable input types and contradicts the actual skill intent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The JSON sample text consists entirely of Chinese field labels and values, which imposes a specific language/locale in natural-language content. There is no indication in this file that the language is optional, user-selected, or justified as a region-specific artifact.

Content

No source excerpt is available for this finding.