Investigates a single PostHog error tracking issue end-to-end. Use when the user provides an issue ID or pastes an issue URL (`/error_tracking/<id>`) and wants to understand the error — who it affects, what triggers it, when it started, whether it correlates with a release, browser, OS, or feature flag, and what the next step should be. Pulls aggregated metrics, sample exception events, segment breakdowns, linked replays, and synthesizes a hypothesis-grade summary in one pass.
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Low
Low-risk findings worth noting
Low
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.
In SKILL.md the required workflow first ingests a user-provided “issue URL”/issueId, then reads PostHog error-tracking issue records, exception event properties, console log messages, and linked replay data via tools like `posthog:query-error-tracking-issue*`, `posthog:execute-sql` (events/log entries), and `posthog:query-logs`, so outsider-authored text can flow in through the externally supplied issue URL/ID into LLM-visible fields (e.g., `description`, stack traces, console `message`).
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