LLM observability with Langfuse — query traces, generations, costs, metrics, and debug LLM pipelines via the REST API
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Low-risk findings worth noting
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tessl review fix ./langfuse-observability/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The SKILL.md explicitly instructs the agent to query a Langfuse instance (e.g., via curl to "$LANGFUSE_HOST/api/public/traces" and "$LANGFUSE_HOST/api/public/observations", including "Get trace input/output"), which pulls potentially user-generated/untrusted trace and LLM input/output data from a cloud or public host that the agent would read and could be used to influence its actions.
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