Back to skill

Security audit

Study Roadmap Generator

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent Chinese study-roadmap generator with a local Python helper and no evidence of credential access, network activity, persistence, or destructive behavior.

Install this if you want a Chinese-language study roadmap generator. Be aware that it forces Chinese output and has broad activation wording, so it may be less suitable in multilingual workflows unless adjusted, but its inspected behavior is local and output-only.

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
  • 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 (6)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The invocation description does not define exclusion criteria or negative examples, so the orchestrator has little guidance for distinguishing this skill from adjacent planning, tutoring, or productivity skills. That ambiguity can lead to misrouting and untrusted prompt execution in contexts the author did not intend.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

Forcing all output to be Chinese regardless of the user's language or system context can conflict with higher-priority instructions, reduce transparency, and create unsafe mismatches in multilingual environments. If a user or platform expects another language, the skill may produce unusable or misleading output and bypass accessibility or localization controls.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

This Python file contains natural-language descriptions and user-facing behavior entirely in Chinese, and later interactive prompts and formatted output are also fixed to Chinese. The policy requires flagging language or locale constraints when the skill forces a specific language without user opt-in, and no alternate language selection or justification is present.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

All headings, labels, and explanatory text produced by the formatter are emitted in Chinese only. This forces a single language for generated content without user opt-in or clear justification, matching the policy's language/locale violation criteria.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The interactive mode presents all prompts in Chinese only, which imposes a language choice on users at runtime. Because there is no opt-in, fallback, or documented regional justification, this is a natural-language policy violation under the language/locale rule.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The invocation description does not define exclusion criteria or negative examples, so the orchestrator has little guidance for distinguishing this skill from adjacent planning, tutoring, or productivity skills. That ambiguity can lead to misrouting and untrusted prompt execution in contexts the author did not intend.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.