Research: sentry-setup-ai-monitoring
Cached research evidence for sentry-setup-ai-monitoring (not authority).
Purpose
Section titled “Purpose”Sentry skill for setting up AI/LLM agent monitoring: instrument LLM calls, tool usage, track agents (OpenAI, Anthropic, Vercel AI SDK, LangChain etc).
Harness Coverage
Section titled “Harness Coverage”Target agents: antigravity, claude-code, codex, crush, cursor, gemini-cli, github-copilot, grok, opencode.
Trust And Risks
Section titled “Trust And Risks”trust_tier=needs-inspection; status=inspect-then-install; provenance=verified-install-command; official Sentry; monitors AI agents (meta); sends potentially sensitive prompt/response data to Sentry - review data classification and retention policies.
Install Prerequisites
Section titled “Install Prerequisites”Install: npx skills add getsentry/sentry-for-ai --skill sentry-fix-issues --skill sentry-sdk-setup --skill sentry-setup-ai-monitoring -y -g -a antigravity claude-code codex crush cursor gemini-cli github-copilot grok opencode; status=inspect-then-install; selector=named; policy=Inspect source, hooks, scripts, credentials, and dedupe before install.
Upstream Maintainer
Section titled “Upstream Maintainer”getsentry/sentry-for-ai (official Sentry)
Comparable Alternatives
Section titled “Comparable Alternatives”Other LLM observability / tracing skills (LangSmith, Phoenix, Arize, Helicone).
> Evidence synthesized from public web sources (GitHub repos, official docs, skill registries); confidence reflects source reputation and public signals only. Not an endorsement.