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Security audit

财务月结与对账专家

Security checks for vulnerabilities and agentic risk

Overview

This is a local finance reconciliation skill with bundled rule engines; its main caveat is a small under-disclosed local usage counter, not evidence of malicious behavior.

Install only if you are comfortable running a local Node-based finance checker on pasted or file-provided table data. Treat its conclusions as reconciliation aids rather than accounting, audit, tax, or legal advice, and note that it creates a small local trial-use counter in your home directory.

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 (203)

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The skill documentation makes broad, concrete claims about covering 39 finance reconciliation sub-skills, automatic routing, reproducible line-by-line conclusions, and strict refusal to conclude when inputs are incomplete. The static findings consistently indicate the implementation is materially narrower or different, which is a security-relevant trust boundary problem: users may rely on incomplete or wrong analysis in sensitive finance workflows, leading to bad business decisions, missed control gaps, or acceptance of incorrect outputs under false assurance.

Static analysis

No suspicious patterns detected.