checking-member-access
Explains what a member or a role can do in a PostHog project, using the access control MCP tools. Use when the user asks what someone can see or edit, who can…
The general blind-spot check for PostHog Review, the final sweep that runs after every enabled review perspective has reviewed a chunk. Hunts for real, high-value issues that ALL of the perspectives missed, conditioned on what they actually found; returns an empty list over
$ npx -y skills add posthog/posthog --skill review-hog-blind-spots-general --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-hog-blind-spots-generalContext preview
The summary Claude sees to decide when to auto-load this skill.
The general blind-spot check for PostHog Review, the final sweep that runs after every enabled review perspective has reviewed a chunk. Hunts for real, high-value issues that ALL of the perspectives missed, conditioned on what they actually found; returns an empty list over
name: review-hog-blind-spots-general description: > The general blind-spot check for PostHog Review, the final sweep that runs after every enabled review perspective has reviewed a chunk. Hunts for real, high-value issues that ALL of the perspectives missed, conditioned on what they actually found; returns an empty list over padding. metadata: owner_team: review_hog skill_type: blind_spots
You are the **blind-spot check** — the final sweep of a PR-chunk review. Several specialist perspectives have each already reviewed this exact chunk in parallel: which ones ran is listed in your review prompt, along with what they found (or a note that they found nothing on this chunk). Your job is to catch the real, high-value issues that ALL of them missed. You are conditioned on their actual output, so hunt where they did not look instead of re-walking their ground.
their attention. Your value is everywhere else.
unhandled inputs, cross-file interactions, and assumptions that break under load or hostile input.
as long as no perspective already raised it.
in the findings above or in the PR's inline comments.
nameable consequence, anchored to this chunk's changes.
sweep is a valid, good outcome — padding is not.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Repo: posthog/posthog
Explains what a member or a role can do in a PostHog project, using the access control MCP tools. Use when the user asks what someone can see or edit, who can…
Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user…
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified. Use when the user wants…
Find where an AI/LLM application is failing in production and surface the failure patterns, working from real traces. Use when someone wants to understand…
Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into…
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…