hugging-face-dataset-viewer

Pass

Audited by Gen Agent Trust Hub on Nov 6, 2026

Risk Level: SAFEDATA_EXFILTRATIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [DATA_EXFILTRATION]: The skill provides instructions and specific file paths for uploading agent session traces to Hugging Face, including directories such as ~/.claude/projects, ~/.codex/sessions, and ~/.pi/agent/sessions. These locations contain sensitive data, including private prompts and potentially hardcoded secrets. The skill includes explicit warnings regarding the privacy risks and the need for redaction before transmission.
  • [EXTERNAL_DOWNLOADS]: The skill utilizes npx -y @huggingface/hub to download and execute the Hugging Face Hub CLI for dataset management. These resources are provided by a well-known technology service.
  • [COMMAND_EXECUTION]: The skill instructions involve executing shell commands via curl for API interactions and npx for repository operations.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes content from external Hugging Face datasets which are user-contributed and may contain malicious instructions designed to influence agent behavior.
  • Ingestion points: External data is ingested through the Hugging Face Dataset Viewer API via endpoints like /rows, /search, and /filter (as documented in SKILL.md).
  • Boundary markers: No explicit boundary markers or delimiters for untrusted content are defined in the instructional text.
  • Capability inventory: The skill has access to command execution (curl, npx) and file upload capabilities.
  • Sanitization: The instructions do not specify sanitization or validation protocols for the data retrieved from the Dataset Viewer API.
  • [DYNAMIC_EXECUTION]: The skill uses npx to dynamically load and execute the @huggingface/hub package at runtime for data uploading tasks.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 6, 2026, 07:23 PM