appsec-agent
Fail
Audited by Gen Agent Trust Hub on Jun 21, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill facilitates the download of the 'opentaint' analysis tool and its associated installation scripts from the vendor's official domain (opentaint.org) and the '@seqra' NPM organization.
- [REMOTE_CODE_EXECUTION]: Installation instructions provided to the agent involve piping remote shell scripts (
install.shandinstall.ps1) directly into system interpreters (bashandiex). While these resources originate from the vendor's infrastructure, this execution pattern is highly sensitive. - [COMMAND_EXECUTION]: The skill performs various system operations, including building project models, executing the analyzer, and managing Docker containers using
docker composeto verify vulnerabilities via Proof-of-Concept (PoC) scripts. It also includes automated cleanup logic that terminates processes and containers registered in.opentaint/tracking/poc-servers.yaml. - [PROMPT_INJECTION]: The skill has an indirect prompt injection surface due to its data processing pipeline.
- Ingestion points: Untrusted data enters the agent context via SARIF report files and dependency metadata extracted from the analyzed project.
- Boundary markers: Analysis findings are stored in YAML tracking files and passed to triage subagents without explicit boundary markers or 'ignore embedded instructions' warnings.
- Capability inventory: The skill possesses capabilities for file system writes, subprocess execution, and network service management (via Docker).
- Sanitization: The
sarif-to-findings.pyscript extracts message text from SARIF results and interpolates them into YAML files without specific escaping or validation to prevent instruction injection.
Recommendations
- HIGH: Downloads and executes remote code from: https://opentaint.org/install.sh - DO NOT USE without thorough review
Audit Metadata