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Sentry

JetBrainsOfficialCreated by OpenAIDistributed by JetBrains

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
  • Low risk
  • Has scripts

From the author

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 and require `SENTRY_AUTH_TOKEN`.
— the description by OpenAI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Sentry skill provides a structured way to interact with Sentry observability data directly from your environment. By utilizing a bundled Python script, it enables read-only access to production error tracking, allowing users to list unresolved issues, retrieve specific issue details, and inspect individual event data. The skill emphasizes secure practices by requiring an environment-based authentication token and ensuring PII redaction in all outputs.

What it does

  • Lists recent unresolved issues from Sentry projects.
  • Resolves issue short IDs to internal system IDs.
  • Retrieves detailed information for specific Sentry issues.
  • Fetches event logs associated with a particular issue.
  • Provides event-specific metadata including release and environment details.
  • Handles API pagination and retries for robust data retrieval.

When to use it

  • When you need to summarize recent production errors without leaving your terminal.
  • When investigating specific issue reports identified by their short ID.
  • When auditing the health of a production environment via Sentry data.
  • When you need to pull event details for debugging purposes.

Advantages

  • Provides direct, deterministic access to Sentry data via API.
  • Maintains security by using read-only scopes and environment variables.
  • Automates pagination and error handling for consistent results.
  • Redacts sensitive information like PII from output logs.
  • Supports filtering by environment, time range, and custom queries.

Usage examples

“List the top 10 open issues for prod in the last 24h.”
The agent executes a query to fetch the 10 most recent unresolved issues, displaying their titles, short IDs, counts, and last seen timestamps.
“Show me the details for issue ABC-123.”
The agent resolves the short ID to an internal ID and retrieves the full issue details, including status and occurrence metadata.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/jetbrains/sentry/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip sentry.zip -d .agents/skills

Documentation by OpenAI

Sentry (Read-only Observability)

Quick start

  • If not already authenticated, ask the user to provide a valid SENTRY_AUTH_TOKEN (read-only scopes such as project:read, event:read) or to log in and create one before running commands.

  • Set SENTRY_AUTH_TOKEN as an env var.

  • Optional defaults: SENTRY_ORG, SENTRY_PROJECT, SENTRY_BASE_URL.

  • Defaults: org/project {your-org}/{your-project}, time range 24h, environment prod, limit 20 (max 50).

  • Always call the Sentry API (no heuristics, no caching).

If the token is missing, give the user these steps:

  1. Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/

  2. Create a token with read-only scopes such as project:read, event:read, and org:read.

  3. Set SENTRY_AUTH_TOKEN as an environment variable in their system.

  4. Offer to guide them through setting the environment variable for their OS/shell if needed.

  • Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.

Core tasks (use bundled script)

Use scripts/sentry_api.py for deterministic API calls. It handles pagination and retries once on transient errors.

Skill path (set once)

export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export SENTRY_API="$CODEX_HOME/skills/sentry/scripts/sentry_api.py"

User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).

1) List issues (ordered by most recent)
python3 "$SENTRY_API" \
  list-issues \
  --org {your-org} \
  --project {your-project} \
  --environment prod \
  --time-range 24h \
  --limit 20 \
  --query "is:unresolved"
2) Resolve an issue short ID to issue ID
python3 "$SENTRY_API" \
  list-issues \
  --org {your-org} \
  --project {your-project} \
  --query "ABC-123" \
  --limit 1

Use the returned id for issue detail or events.

3) Issue detail
python3 "$SENTRY_API" \
  issue-detail \
  1234567890
4) Issue events
python3 "$SENTRY_API" \
  issue-events \
  1234567890 \
  --limit 20
5) Event detail (no stack traces by default)
python3 "$SENTRY_API" \
  event-detail \
  --org {your-org} \
  --project {your-project} \
  abcdef1234567890

API requirements

Always use these endpoints (GET only):

  • List issues: /api/0/projects/{org_slug}/{project_slug}/issues/

  • Issue detail: /api/0/issues/{issue_id}/

  • Events for issue: /api/0/issues/{issue_id}/events/

  • Event detail: /api/0/projects/{org_slug}/{project_slug}/events/{event_id}/

Inputs and defaults

  • org_slug, project_slug: default to {your-org}/{your-project} (avoid non-prod orgs).

  • time_range: default 24h (pass as statsPeriod).

  • environment: default prod.

  • limit: default 20, max 50 (paginate until limit reached).

  • search_query: optional query parameter.

  • issue_short_id: resolve via list-issues query first.

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.

Files

LICENSE.txt

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
OpenAI
Publisher
JetBrains (Official)
Distributed by
JetBrains
Source
JetBrains/skills · sentry · commit 3f53782
Licence
Apache License 2.0 (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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