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    openai

    sentry

    openai/sentry
    Security
    7,309
    31 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

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    About

    Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script...

    SKILL.md

    Sentry (Read-only Observability)

    Quick start

    • If not already authenticated, ask the user to run sentry auth login or set SENTRY_AUTH_TOKEN as an env var.
    • The CLI auto-detects org/project from DSNs in .env files, source code, config defaults, and directory names. Only specify <org>/<project> if auto-detection fails or picks the wrong target.
    • Defaults: time range 24h, environment production, limit 20.
    • Always use --json when processing output programmatically. Use --json --fields to select specific fields and reduce output size.
    • Use sentry schema <resource> to discover API endpoints quickly.

    If the CLI is not installed, give the user these steps:

    1. Install the Sentry CLI: curl https://cli.sentry.dev/install -fsS | bash
    2. Authenticate: sentry auth login
    3. Confirm authentication: sentry auth status
    • Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.

    Core tasks (use Sentry CLI)

    Use the sentry CLI for all queries. It handles authentication, org/project detection, pagination, and retries automatically. Use --json for machine-readable output.

    1) List issues (ordered by most recent)

    sentry issue list \
      --query "is:unresolved environment:production" \
      --period 24h \
      --limit 20 \
      --json --fields shortId,title,priority,level,status
    

    If auto-detection doesn't resolve org/project, pass them explicitly:

    sentry issue list {your-org}/{your-project} \
      --query "is:unresolved environment:production" \
      --period 24h \
      --limit 20 \
      --json
    

    2) Resolve an issue short ID to issue detail

    sentry issue view {ABC-123} --json
    

    Use the short ID format (e.g., ABC-123), not the numeric ID.

    3) Issue detail

    sentry issue view {ABC-123}
    

    4) Issue events

    sentry issue events {ABC-123} --limit 20 --json
    

    5) Event detail

    sentry event view {your-org}/{your-project}/{event_id} --json
    

    6) AI-powered root cause analysis

    sentry issue explain {ABC-123}
    

    7) AI-powered fix plan

    sentry issue plan {ABC-123}
    

    Fallback: arbitrary API access

    For endpoints not covered by dedicated CLI commands, use sentry api:

    sentry api /api/0/organizations/{your-org}/ --method GET
    

    Use sentry schema to discover available API endpoints:

    sentry schema issues
    

    Inputs and defaults

    • org_slug, project_slug: auto-detected by the CLI from DSNs, env vars, and directory names. Override with positional {your-org}/{your-project} if auto-detection fails.
    • time_range: default 24h (pass as --period 24h).
    • environment: default prod (pass as part of --query, e.g., environment:production).
    • limit: default 20 (pass as --limit).
    • search_query: optional --query parameter, uses Sentry search syntax (e.g., is:unresolved, assigned:me).
    • issue_short_id: use directly with sentry issue view.

    Output formatting rules

    • Issue list: show title, short_id, status, first_seen, last_seen, count, environments, top_tags; order by most recent.
    • Event detail: include culprit, timestamp, environment, release, url.
    • If no results, state explicitly.
    • Redact PII in output (emails, IPs). Do not print raw stack traces.
    • Never echo auth tokens.

    Golden test inputs

    • Org: {your-org}
    • Project: {your-project}
    • Issue short ID: {ABC-123}

    Example prompt: "List the top 10 open issues for prod in the last 24h." Expected: ordered list with titles, short IDs, counts, last seen.

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    openai/skills
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