Performance regression detection using the browse daemon. (gstack)
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.85). At runtime the user-supplied `/benchmark <url>` is navigated to via the browse daemon (`$B goto <page-url>`), and the skill then ingests readable page-derived data into the LLM context via `$B perf` and `$B eval ...performance.getEntries...` (outsider web content from arbitrary URLs).
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.90). This skill's setup step (run at NEEDS_SETUP) downloads and executes the bun install script via curl -fsSL "https://bun.sh/install" and then runs it with bash, which is a runtime fetch that executes remote code and is relied on to build the browse component.
a325940
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