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langfuse-cost-tuning

Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".

64

Quality

79%

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/saas-packs/langfuse-pack/skills/langfuse-cost-tuning/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

The workflow reads cost/token data by calling Langfuse Metrics API endpoints like `langfuse.api.traces.list(...)` and `langfuse.api.observations.list(...)`, which return prior generation/observation text and metadata from the user’s Langfuse project; an outsider who can post arbitrary traces/observations into that project can poison the free text that the LLM ingests during report/dashboard runs.

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Repository
jeremylongshore/claude-code-plugins-plus-skills
Audited
Security analysis
Snyk

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