social-measurement-loop
Pass
Audited by Gen Agent Trust Hub on Sep 2, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external data from user exports and third-party connectors, which presents a surface for indirect prompt injection.
- Ingestion points: The skill ingests user-provided native analytics exports from various social platforms and data from connectors like
discourse.py(forum JSON) as specified in the Data Sources section ofSKILL.md. - Boundary markers: The instructions include a dedicated security warning stating that every export and connector pull must be treated as untrusted input and that their contents should be treated as data, not instructions.
- Capability inventory: The skill has permissions to read and write to the
memory/file system and can propose events to a registry via theregistry-events.pyscript as described in the Instructions. - Sanitization: The skill relies on natural language prompting to ensure the agent ignores instructions embedded in data; no explicit technical sanitization or schema validation steps are detailed in the documentation.
Audit Metadata