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Security audit

Prompt Engineering Expert

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only prompt engineering guide with a minor caution around refusal-troubleshooting advice, but no hidden code, persistence, or data access.

Install this as a prompt-engineering reference skill if you want Claude-focused prompt help. Be careful with the refusal-troubleshooting section: clarifying legitimate intent is reasonable, but do not use it to bypass safety limits or obtain harmful instructions.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (4)

Anti-Refusal Statement

High
Category
Anti-Refusal
Confidence
80% confidence
Finding

Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.

Content

Scanner excerpt · examples/EXAMPLES.md (reported line 51)May include surrounding context.

md
- Explain methodology before results

### Don'ts
- Don't make predictions beyond 12 months without caveats
- Don't ignore outliers without investigation
- Don't present correlation as causation
- Don't use jargon without explanation

Ssd 1

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The troubleshooting advice explicitly suggests reframing a refused harmful request using fictional context and a 'legitimate purpose' explanation. That pattern can help users bypass model safety controls by laundering disallowed intent into ostensibly acceptable framing, especially in a prompt-engineering skill whose purpose is to optimize model behavior.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

This markdown file describes the skill in very general terms such as 'Advanced expert in prompt engineering' and 'provides comprehensive guidance' without specifying narrow trigger phrases, scope boundaries, or negative examples. In a skill-dispatch system, such broad wording can overlap with many ordinary prompt-writing or AI-help requests and may cause unintended invocation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

This markdown repeatedly frames troubleshooting instructions around 'Claude' specifically, such as 'Claude invents facts' and 'Ask Claude to cite sources.' That can violate language/locale-style organizational policy constraints on forced platform choice when no opt-in or justification is provided.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.