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Security audit

消防设施检查与维保记录核对(免费版)

Security checks for vulnerabilities and agentic risk

Overview

This skill is a local Chinese-language checker for fire-safety inspection records and does not show hidden networking, persistence, or unrelated data access.

Install only if you work with Chinese fire-safety inspection or maintenance records and are comfortable running a local Node.js checker. Review the listed free-version limits: it performs record/table consistency checks, not a legal, technical, or on-site safety certification.

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 Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • 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 (7)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 62)May include surrounding context.

md
node scripts/run.mjs --sample # 先看样例(内置一张干净的月度巡查表)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 63)May include surrounding context.

md
node scripts/run.mjs --sample # 先看样例(内置一张干净的月度巡查表)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 64)May include surrounding context.

md
node scripts/run.mjs --sample # 先看样例(内置一张干净的月度巡查表)

Lp1

High
Category
MCP Least Privilege
Confidence
75% confidence
Finding

The skill uses 'env' capability that is not listed in its permissions. This may indicate deceptive intent or missing permission declarations.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The file’s natural-language interface, examples, labels, advice, and outputs are entirely in Chinese, indicating the skill is designed to operate only in that language. There is no user-facing opt-in, language selection, or documented justification that this is a region-specific compliance tool, so this creates a locale/language policy concern.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

The primary display name, summary, and descriptions are presented in Chinese, and the usage/documentation throughout the file is Chinese-only except for a brief English description field. This can be read as a locale/language constraint without explicit user opt-in or a clear statement that the skill is region- or language-specific.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The comment says non-JSON input is treated as plain-text material, giving '直接粘贴的合同全文' as an example, which suggests broad document handling. But the rest of the script is explicitly limited to fire-safety inspection/maintenance records with required headers and reports insufficient input otherwise, so the inline documentation overstates what the code meaningfully supports.

Content

No source excerpt is available for this finding.