Intelligence Ingestion

Fail

Audited by Gen Agent Trust Hub on Feb 27, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONPROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The 'Auto-Skill Synthesis' logic in SKILL.md (Step 6) performs dynamic generation of agent instruction files (SKILL.md drafts) based on content fetched from external, untrusted URLs. This creates a mechanism where remote data can define agent behaviors and tools.
  • [PROMPT_INJECTION]: The skill is highly vulnerable to indirect prompt injection due to its automated ingestion of external data for synthesis and memory updates. An attacker-controlled webpage or tweet could influence the agent to generate malicious skill drafts or corrupt its internal state.
  • Ingestion points: External URLs, articles, and tweet content processed in SKILL.md Step 1.
  • Boundary markers: No explicit delimiters or instructions to ignore embedded commands are present in the synthesis logic.
  • Capability inventory: The skill has the capability to write files to the skills/_drafts/, Obsidian/, and memory/ directories, and modify the STRATEGIC_LANDSCAPE.md file.
  • Sanitization: There is no evidence of content sanitization or validation before the untrusted data is used to generate code or updates.
  • [DATA_EXFILTRATION]: The skill reads the STRATEGIC_LANDSCAPE.md file, which contains sensitive architectural details and a resource inventory (API keys status, compute resources, agent fleet roles). This sensitive metadata is analyzed in the same context as untrusted external content, creating a risk that this information could be leaked or exfiltrated through compromised agent logic.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Feb 27, 2026, 08:15 AM