silent-failure-hunter

Pass

Audited by Gen Agent Trust Hub on Feb 13, 2026

Risk Level: LOWNO_CODE
Full Analysis

The SKILL.md file defines the agent's role, mission, and workflow using natural language and examples of grep commands. The _meta.json file contains standard metadata and a reference to a trusted GitHub repository (openclaw/skills).

  1. Prompt Injection: No patterns indicative of prompt injection (e.g., 'IMPORTANT: Ignore', 'CRITICAL: Override', role-play injection) were found in the skill's instructions.
  2. Data Exfiltration: The skill does not contain any commands or instructions that would perform network requests to non-whitelisted domains or access sensitive file paths for exfiltration.
  3. Obfuscation: No obfuscation techniques such as Base64 encoding, zero-width characters, homoglyphs, or URL/hex/HTML encoding were detected in either file.
  4. Unverifiable Dependencies: The skill does not instruct the installation of any external packages or scripts (e.g., npm install, pip install). It relies on the grep command, which is a standard system utility.
  5. Privilege Escalation: No commands like sudo, doas, chmod +x, or modifications to system files were found.
  6. Persistence Mechanisms: There are no instructions to create persistence mechanisms such as modifying shell configuration files (.bashrc), creating cron jobs, or systemd services.
  7. Metadata Poisoning: The _meta.json file is clean and contains no malicious instructions or hidden content. The commit URL points to a trusted GitHub organization.
  8. Indirect Prompt Injection: (INFO) While the skill itself is safe, any AI agent skill that processes external content (such as code files in this case) could theoretically be susceptible to indirect prompt injection if the analyzed content itself contained malicious instructions intended to manipulate the AI. This is a general risk for such analysis tools, not a vulnerability in the skill's instructions.
  9. Time-Delayed / Conditional Attacks: No conditional logic for delayed or triggered malicious behavior based on time, usage, or environment was detected.
Audit Metadata
Risk Level
LOW
Analyzed
Feb 13, 2026, 09:44 AM