Security audit

Attendance Sheet

Security checks for vulnerabilities and agentic risk

Overview

This is a straightforward attendance spreadsheet generator, with practical privacy and spreadsheet-safety cautions but no evidence of hidden or malicious behavior.

Before installing, confirm the Chinese-language output fits your workflow, store generated attendance files as sensitive HR records, and avoid using untrusted employee names or other spreadsheet text unless formula-leading characters are neutralized.

A.I.G

Vulnerability Patterns

Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
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

Findings (1)

T09 · Insecure Skill Coding Practices

Warning

Location: scripts/generate_attendance.py:117
Finding: Spreadsheet Formula Injection Through Employee Names
Content: View full analysis
Remediation: View remediation

SkillSpector

Vulnerability Patterns

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
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (3)

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 89% confidence
Finding: The skill explicitly handles employee attendance and generates Excel files, which are likely to contain personnel data and work-status information. Omitting a privacy/data-handling warning can lead users to process sensitive HR data without understanding confidentiality, retention, or sharing risks, increasing the chance of accidental disclosure.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 81% confidence
Finding: The skill mixes English description with Chinese-only examples and labels such as 考勤表, 员工, 日期范围, and output filenames, which implies a language/locale expectation without explicit user opt-in. The policy requires flagging skills that force a specific language or locale unless they offer a choice or clearly justify the regional constraint.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 96% confidence
Finding: This Python file contains user-facing status labels, worksheet titles, CLI descriptions, and printed messages in Chinese only. Because the skill does not offer localization or state that it is intentionally limited to a Chinese-language environment, it violates the language/locale policy criterion for natural-language content.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.