skills/sarahmirrand001-oss/openclaw-skill-intelligence-ingestion/Intelligence Ingestion/Gen Agent Trust Hub
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.mddrafts) 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.mdStep 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/, andmemory/directories, and modify theSTRATEGIC_LANDSCAPE.mdfile. - 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.mdfile, 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