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Security audit

Content Research

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward research-and-drafting helper that uses web search and optional brand guidance, with no evidence of hidden execution, persistence, credential theft, or destructive behavior.

Install only if you want the agent to perform web research and generate social-platform drafts. Review outputs before publishing, avoid putting secrets or sensitive account credentials in brand-config.md, and use explicit prompts if your OpenClaw setup auto-selects skills from broad phrases.

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
  • 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 (4)

Skill Enumeration

Medium
Category
Agent Snooping
Content
### Manual
Copy the `SKILL.md` file to your OpenClaw skills directory:
```bash
cp SKILL.md ~/.openclaw/skills/content-research/SKILL.md
```

## Usage
Confidence
80% confidence
Finding
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Vague Triggers

Medium
Confidence
92% confidence
Finding
The trigger phrases shown in the usage examples are broad natural-language patterns such as "research [topic]" and "what's new in [topic]," which can plausibly appear in ordinary conversation. In agent frameworks that auto-dispatch skills based on fuzzy matching, this increases the chance of unintended invocation, causing the skill to perform web research or content generation when the user did not explicitly mean to call it.

Vague Triggers

Medium
Confidence
94% confidence
Finding
The top-level trigger language includes broad phrases like "content for [platform]" and "create posts about [topic]," which can match ordinary user requests outside the intended research workflow. This can cause the skill to activate unexpectedly and steer the agent into web research and content generation behaviors the user did not explicitly request, increasing the chance of unintended tool use or context hijacking.

Vague Triggers

Medium
Confidence
91% confidence
Finding
Phase 2 trigger examples like "create content for [platform]" and especially "#3 for reddit" are ambiguous because they rely on conversational state and shorthand references that may overlap with normal dialogue. In a multi-skill or multi-turn environment, this can bind to the wrong prior item or activate content generation from unrelated context, leading to unintended actions or misleading output.

Static analysis

No suspicious patterns detected.