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Security audit

研发费用辅助账与高新指标核对(免费版)

Security checks for vulnerabilities and agentic risk

Overview

This skill is a local Chinese-language ledger checker that reads a user-provided R&D expense table and prints deterministic validation results without network access or persistence.

Install only if you are comfortable using a Chinese-language local checker for R&D auxiliary ledger data. It appears to run locally and not send data out, but users should still avoid pasting unrelated sensitive documents because the tool is designed for ledger tables, not general document review or tax/legal advice.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (6)

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

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 50)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
93% confidence
Finding

The natural-language instructions and user-facing descriptions throughout the file are written exclusively in Chinese, including operational guidance and output text. This imposes a specific language/locale on users without any documented opt-in, fallback, or indication that the skill is region-specific only.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The JSON contains a natural-language template entirely in Chinese, with no indication that language selection is optional or that the skill is limited to a Chinese-only regional context. Under the policy, forcing a specific language or locale without user opt-in is a reportable natural-language policy violation.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
89% confidence
Finding

The manifest lists trigger phrases including “研发费用辅助账对不上,” which is a natural complaint-style phrase a user might say in ordinary conversation rather than an explicit invocation command. Because no negative examples or tighter activation constraints are provided, the trigger scope may be broader than intended and could cause accidental invocation.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
83% confidence
Finding

The comment on loadInput says non-JSON input is treated as plain-text material such as a pasted '合同全文', which suggests broader document intake. However, the surrounding usage/help text and insufficient-input handling consistently require a 研发费用辅助账 with headers, and the engine is invoked only for that ledger-check workflow. This is a documentation-level contradiction about what kind of material the skill is intended to process.

Content

No source excerpt is available for this finding.