Configure Langfuse CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Langfuse tests into your build process. Trigger with phrases like "langfuse CI", "langfuse GitHub Actions", "langfuse automated tests", "CI langfuse", "langfuse pipeline".
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Low
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tessl review fix ./plugins/saas-packs/langfuse-pack/skills/langfuse-ci-integration/SKILL.mdLow
Low-risk findings.
2 low severity findings. 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 runtime workflow fetches/loads prompt text and related evaluation data from Langfuse via `langfuse.prompt.get(...)` / `langfuse.runExperiment(...)` (outsider-controlled service content), which is then compiled and inserted into OpenAI messages (`content: compiled`)—indirectly exposing the LLM context to free text not authored by the operator.
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.
The skill sets LANGFUSE_BASE_URL to 'https://cloud.langfuse.com' and at runtime calls langfuse.prompt.get / langfuse.api.* (e.g., lf.prompt.get('__ci-health__'), prompt.get("summarize-article")) which fetch prompt definitions from that external host that directly control prompts used by the tests (https://cloud.langfuse.com).
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