github-profile-optimization

Pass

Audited by Gen Agent Trust Hub on Oct 23, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill uses a Python script to fetch metadata and README content from official GitHub API endpoints (api.github.com) and raw content servers (raw.githubusercontent.com). These operations target well-known and expected service domains for the skill's primary function.
  • [COMMAND_EXECUTION]: The skill executes a local Python script scripts/profile-audit.py to automate profile data collection. This script performs read-only network operations and text analysis on the retrieved content.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze untrusted content from external GitHub profile README files. This creates a surface for indirect prompt injection where malicious instructions embedded in a README could attempt to influence the agent's behavior.
  • Ingestion points: Retrieval of README content via scripts/profile-audit.py or user-provided text.
  • Boundary markers: No explicit delimiter or 'ignore' instructions are used when processing external README content.
  • Capability inventory: The skill can execute Python scripts, access the network (to GitHub), and maintain persistent local state via devrel-context.md.
  • Sanitization: No filtering or sanitization of the README content is performed beyond standard markdown parsing and metadata extraction.
  • [SAFE]: No malicious patterns such as credential exfiltration, persistence mechanisms, or obfuscation were detected. The use of environment variables for API authentication (GITHUB_TOKEN) is handled according to security best practices.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 23, 2026, 08:25 PM