website-crawler
Fail
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: CRITICALREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION] (CRITICAL): The installation script
scripts/scripts/install.shcontains the commandcurl -fsSL https://bun.sh/install | bash. This pattern is highly insecure as it executes unverified code from a remote source with the privileges of the user shell. - [COMMAND_EXECUTION] (HIGH): The skill utilizes a hybrid architecture where the TypeScript frontend (
scripts/src/lib/go-bridge.ts) compiles a Go engine usinggo buildat runtime and subsequently executes the generated binary. Spawning and running dynamically compiled binaries poses a significant risk of arbitrary code execution. - [EXTERNAL_DOWNLOADS] (MEDIUM): The skill downloads the Bun runtime and Go dependencies from external sources during its installation phase. These sources (bun.sh and various Go module repositories) are not included in the trusted external source list.
- [PROMPT_INJECTION] (LOW): The skill is vulnerable to indirect prompt injection (Category 8).
- Ingestion points: The crawler engine (invoked via
scripts/src/lib/go-bridge.ts) fetches titles, metadata, and link structures from arbitrary external URLs provided by the user. - Boundary markers: None. The extracted data is returned to the agent without delimiters or instructions to ignore embedded commands.
- Capability inventory: The skill has access to
Bash,Read, andWebFetchtools, which could be exploited if the agent follows instructions found on a malicious webpage. - Sanitization: There is no evidence of sanitization or filtering of the crawled content (like page titles) before it is processed by the agent.
- [COMMAND_EXECUTION] (LOW): The skill automatically executes the
opencommand inscripts/src/index.tsto launch the host's file manager for the results directory upon completion.
Recommendations
- HIGH: Downloads and executes remote code from: https://bun.sh/install - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata