exploring-llm-costs
Investigate LLM spend in PostHog — total cost over time, cost by model, provider, user, trace, or custom dimension, token and cache-hit economics, and cost regressions. Use when the user asks "how much are we spending on LLMs?", "which model / user / feature is most expensive?", "why did cost spike?", wants to build a cost dashboard or alert, or pastes a trace URL and asks about its cost.
74
93%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
In SKILL.md the “inspect a single trace’s cost” workflow takes a user-pasted “trace URL” and passes the derived traceId into `posthog:query-llm-trace` (runtime trace fetch → per-event breakdown), so outsider-authored text (the trace URL string) is ingested to select what to read.
- Repository
- PostHog/posthog
- Commit
06292db
- Audited
- Security analysis
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