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Security audit

公共费用分摊核对(免费版)

Security checks for vulnerabilities and agentic risk

Overview

This skill is a local Chinese-language utility allocation table checker with no evidence of network use, persistence, credential access, or hidden behavior.

Install only if you are comfortable running a local Node script on copied utility allocation table text. It does not handle Excel files directly, and it does not perform the paid-version checks listed as withheld.

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 (7)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 41)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 42)May include surrounding context.

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

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The comment at L239 describes a concrete check: allocated amount divided by total should approximately equal the stated share. But the following function is insufficient, which only returns a missing-input response and performs no such validation. This is an active contradiction between inline documentation and actual code behavior.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill’s visible natural-language interface is explicitly presented in Chinese and the script’s prompts, usage text, and status messages are all hard-coded in Chinese. There is no indication that users may choose another language or opt in to this locale constraint, which can violate language/locale policy requirements.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The comment states that if header matching were ordered incorrectly, the paid check would 'never execute', framing that check as absent from this free-file implementation. However, the file contains active share parsing support and multiple comments describing the paid check's execution conditions, which contradict the earlier manifest/doc emphasis that withheld checks are only explanatory text and not implemented here. This is documentation-level intent drift rather than a behavioral security issue.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

The comment says non-JSON input is treated as plain-text material such as a 'directly pasted full contract' ('例如直接粘贴的合同全文'), which contradicts the surrounding manifest and usage text that require a费用分摊表 with headers. The code itself is generic plain-text loading, but the inline documentation describes a materially different document type than the skill's stated purpose.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The JSON template contains only Chinese-language table headers and content, which implies the skill output is fixed to a specific language/locale. There is no indication in this file that the user can choose the language or that the Chinese locale is a documented requirement.

Content

No source excerpt is available for this finding.