monitoring-ingestion-pipeline
monitoring-ingestion-pipeline is an Observability & incident response skill for AI agents, published by PostHog in the posthog repository on GitHub. Skillspace rates monitoring-ingestion-pipeline D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for using the Grafana MCP to monitor and diagnose the Node.js ingestion pipeline workers in production. Use when investigating event lag, drops, pipeline errors, person/group processing, Kafka consumer health, Redis, Postgres, ClickHouse downstream health, or any ingestion worker question. Covers prod-us and prod-eu environments.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 35,560
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Monitors PostHog's own Node.js ingestion pipeline across its prod-us/prod-eu environments.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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