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Security audit

problem-set-generator

Security checks for vulnerabilities and agentic risk

Overview

This skill is a small local contest-problem generator with disclosed Chinese-language output and no evidence of hidden access, persistence, or data exfiltration.

Install only if a Chinese-language, local contest-problem generator fits your workflow. Treat its outputs as draft decision-support material requiring human review, as the artifact itself states; I found no security reason to hold it for review.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • 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 (3)

Natural-Language Policy Violations

Medium
Confidence
89% confidence
Finding
The text "中文文档见 `SKILL.md`" indicates the primary skill documentation is provided in Chinese, while the file does not offer an alternative language option or explain that the skill is intentionally limited to a Chinese-speaking or region-specific audience. Under the stated policy, forcing a specific language without user opt-in is a natural-language policy concern.

Natural-Language Policy Violations

Medium
Confidence
89% confidence
Finding
This code’s user-facing natural-language strings, CLI help text, descriptions, warnings, and generated content are all presented in Chinese, with no indication that users may select another language or that the tool is intentionally restricted to a Chinese-speaking context. Under the stated policy, forcing a specific language without user opt-in is a natural-language policy violation.

Dynamic attribute access via getattr()

Low
Category
Dangerous Code Execution
Content
out_list.append({"tool": META["slug"], "input": d, "errors": [str(e)], "rc": 2, "aigc_mark": AIGC})
        print(json.dumps(out_list, ensure_ascii=False, indent=2))
        sys.exit(0 if allok else 2)
    args = {k: getattr(ns, k) for k in argnames}
    try:
        res, rc = _run(args)
    except GateError as e:
Confidence
50% confidence
Finding
Dynamic getattr() with a non-literal attribute name can access arbitrary object attributes, potentially bypassing access controls.

Static analysis

No suspicious patterns detected.