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Security audit

Brand Voice Architect

Security checks for vulnerabilities and agentic risk

Overview

This is a local brand voice analysis and prompt generation helper, and the flagged issues are consistent with its stated purpose rather than hidden unsafe behavior.

Before installing, be comfortable with the skill analyzing writing samples you provide and producing brand voice prompts. Provide only intended corpus or JSON files, and review generated system prompts before deploying them in another system.

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
  • System Prompt LeakageDirect Leakage, Indirect Extraction, Tool-Based Exfiltration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (4)

Direct Prompt Extraction

High
Category
System Prompt Leakage
Confidence
85% confidence
Finding

Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.

Content

Scanner excerpt · scripts/prompt_synthesizer.py (reported line 90)May include surrounding context.

python
Never break voice for clarity alone — rephrase to stay on-brand.
When prohibited words appear in input, replace with a preferred equivalent silently.
"""
    return prompt.strip()


# ------------------------------------------------------------------

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
81% confidence
Finding

The skill references local scripts and repository files but does not declare any explicit tool scope or permissions boundary. That creates ambiguity about what file access the agent may assume is allowed, which can lead to over-broad file reading in environments where skills are automatically granted workspace access.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The trigger guidance explicitly says to activate for loosely related requests like 'make our writing more consistent' or 'what tone should we use,' which broadens invocation beyond clear user intent. Over-triggering can cause the skill to process unnecessary content or steer conversations into script/file-backed workflows when the user did not request that level of analysis.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

This natural-language instruction imposes a specific linguistic policy ("Use first-person plural (we/our)") on outputs. Under the policy rule, forced language/style constraints can be a violation when they are mandated without offering the user a choice or documenting why the restriction is required.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.