dp-oncall-debugger
dp-oncall-debugger is an Observability & incident response skill for AI agents, published by razorpay in the trino-gateway repository on GitHub. Skillspace rates dp-oncall-debugger C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Debug oncall production issues for Data Platform CDC pipeline services (datasink, harvester, maxwell, kafka-connect, entity-operator staging-table-pipeline, entity-operator replication-table-pipeline). Use when an alert fires from Slack/Zenduty for any of these services. Parses alert text, queries Grafana metrics, uses Friday MCP for EMR cluster status and spot loss detection, traces cascading failures across the pipeline (TiDB path and datalake path), identifies root cause, and suggests fixes. Handles lag alerts, replication issues, job failures, spot loss, TiDB/Kafka health checks, and datalake freshness issues.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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