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Security audit

销售返利与渠道返点核对(免费版)

Security checks for vulnerabilities and agentic risk

Overview

This is a local Chinese-language rebate-ledger checker that reads user-provided files and runs deterministic Node.js checks without network use or persistence.

Install this only if you are comfortable using a Chinese-language local CLI tool for rebate-ledger checking. It should not be treated as accounting, audit, tax, or legal advice, and it expects you to provide exported ledger text with headers rather than connecting directly to business systems.

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 (5)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 48)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 49)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
94% confidence
Finding

This code’s natural-language comments and user-facing strings are entirely in Chinese, including status advice and error/result messages returned to the caller. There is no indication that the skill is region-specific or that users can opt into another language, which creates a locale-policy concern under the rule for language choice.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The script's natural-language interface, help text, and status messages are entirely in Chinese, with no indication that another language is supported or that the language is a deliberate region-specific constraint. Under the policy rule, forcing a specific language without user opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The inline documentation says non-JSON input is treated as plain-text material such as '直接粘贴的合同全文', which contradicts the surrounding manifest and CLI help that repeatedly describe the input as a rebate ledger with headers. The code itself passes any non-JSON text onward, but the documented example broadens the intended material type beyond the skill's stated rebate-ledger checking purpose.

Content

No source excerpt is available for this finding.