universal-skills-manager
Fail
Audited by Gen Agent Trust Hub on Feb 27, 2026
Risk Level: CRITICALREMOTE_CODE_EXECUTIONCREDENTIALS_UNSAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill documentation includes a workaround for installation that directs users to pipe a remote shell script from a non-trusted GitHub repository (
jacob-bd) directly to the system shell (curl -fsSL https://raw.githubusercontent.com/jacob-bd/universal-skills-manager/main/install.sh | sh). This pattern allows for arbitrary code execution on the user's machine without prior inspection. - [CREDENTIALS_UNSAFE]: The skill facilitates the creation of a
config.jsonfile containing the user'sSKILLSMP_API_KEYin plain text. It further encourages embedding this file into a ZIP archive for transfer to cloud platforms, which poses a high risk of credential exposure and theft. - [EXTERNAL_DOWNLOADS]: The skill connects to several third-party domains (
skillsmp.com,skills.palebluedot.live,clawhub.ai) to fetch skill metadata and raw file content. These domains are not part of the trusted vendor or organization lists, introducing a supply chain risk. - [COMMAND_EXECUTION]: The skill utilizes
bashandpython3to execute multiple local scripts (install_skill.py,validate_frontmatter.py,scan_skill.py) and manage file operations across various system directories (~/.claude,~/.gemini,~/.config/opencode). This broad level of access increases the impact of any potential compromise. - [PROMPT_INJECTION]: The skill presents an indirect prompt injection surface by downloading and installing
SKILL.mdfiles from community-managed hubs. Although the skill mentions a security scanner (scan_skill.py), it lacks formal boundary markers or sanitization to prevent malicious instructions embedded in the ingested skills from overriding agent behavior.
Recommendations
- HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/jacob-bd/universal-skills-manager/main/install.sh - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata