ai-visibility-panel-design
Pass
Audited by Gen Agent Trust Hub on Jul 30, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill methodology focuses on statistical design and data stratification for measuring AI visibility. There is no evidence of obfuscation, persistence mechanisms, or unauthorized privilege escalation.\n- [PROMPT_INJECTION]: The skill possesses a surface for indirect prompt injection as it processes external files and candidate prompts.\n
- Ingestion points: The skill ingests prompt_architecture.json, QA-approved candidates, and rejection ledgers.\n
- Boundary markers: No explicit delimiters or instructions to ignore embedded commands in the input data are defined.\n
- Capability inventory: The skill's capabilities are restricted to generating documentation (tracking_plan.md) and configuration files (panel.yaml, run_manifest_template.json, and panel_change_ledger.json), with no network or command execution capabilities described.\n
- Sanitization: The skill does not describe specific sanitization or filtering logic for input data.
Audit Metadata