before-and-after
Fail
Audited by Gen Agent Trust Hub on Feb 21, 2026
Risk Level: HIGHDATA_EXFILTRATIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [DATA_EXFILTRATION] (HIGH): The skill captures screenshots of web pages, which often contain sensitive information (API keys in UIs, user data, internal dashboards), and uploads them to
0x0.stviascripts/adapters/0x0st.sh. This is a public, anonymous file-sharing service, meaning any captured internal data becomes accessible via a public URL. - [DATA_EXFILTRATION] (HIGH): The
scripts/adapters/blob.shscript allows screenshots to be sent to an arbitrary external endpoint specified by theBLOB_UPLOAD_URLenvironment variable, facilitating data exfiltration to attacker-controlled servers. - [EXTERNAL_DOWNLOADS] (LOW): The skill instructions in
SKILL.mdmandate a 'Pre-flight' step that executesnpm install -g @vercel/before-and-after. While the organizationvercelis a trusted source, global package installation at runtime is a high-privilege operation. Per [TRUST-SCOPE-RULE], the download itself is downgraded to LOW. - [COMMAND_EXECUTION] (MEDIUM): The script
scripts/upload-and-copy.shperforms dynamic execution by loading and running adapter scripts from a directory based on theIMAGE_ADAPTERenvironment variable (ADAPTER_SCRIPT="$ADAPTERS_DIR/$IMAGE_ADAPTER.sh"). - [COMMAND_EXECUTION] (MEDIUM): The skill makes extensive use of
curl,npx, and CLI tools (gh,vercel) with arguments constructed from user-provided URLs and CSS selectors, increasing the risk of command injection if the agent does not strictly validate these inputs. - [INDIRECT_PROMPT_INJECTION] (LOW): The skill possesses a significant attack surface for indirect injection.
- Ingestion points: Web page content captured by
agent-browserinscripts/capture.shand user-provided URLs/selectors. - Boundary markers: None; external content is processed directly.
- Capability inventory: File system writes (screenshots), network requests (
curl), and shell command execution (gh,npm,npx). - Sanitization: None detected.
Recommendations
- AI detected serious security threats
Audit Metadata