NYC

accelint-skill-manager

Warn

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: MEDIUMEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
  • EXTERNAL_DOWNLOADS (MEDIUM): The README and templates recommend installing the skill via npx skills add using a GitHub repository (gohypergiant/agent-skills) that is not on the trusted list. This instructs the user or agent to execute code from an unverified third-party source. Additionally, the use of the generic package name skills with npx presents a significant risk of executing malicious code if that package name is held by an unrelated third party on the public registry.
  • COMMAND_EXECUTION (LOW): The SKILL.md workflow contains a shell block that instructs the agent to run ls -la to find existing skills in project and global directories. While limited in scope, this is a direct execution of shell commands based on skill instructions.
  • DATA_EXFILTRATION (LOW): The skill directs the agent to access the user's home directory (~/.claude/skills) to inventory installed skills. This exposes the directory structure and installed software to the agent context, though no remote transmission of this data is specified.
  • PROMPT_INJECTION (LOW): The skill is designed to ingest and audit other skills, creating an attack surface for indirect prompt injection. A malicious skill being audited could contain instructions to subvert the agent's behavior.
  • Ingestion points: Auditing or refactoring existing skill files in .claude/skills or ~/.claude/skills.
  • Boundary markers: The skill encourages structured ❌/✅ examples but does not mandate delimiters or explicit instructions to ignore instructions found within processed skill data.
  • Capability inventory: Includes listing files, reading file contents, and creating new files and directories.
  • Sanitization: No explicit sanitization or validation of the content of audited skills is performed before the agent processes it.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Feb 17, 2026, 07:49 PM