Sentry
JetBrainsOfficialCreated by OpenAIDistributed by JetBrains
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
- Low risk
- Has scripts
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/jetbrains/sentry/downloadUnzip 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 asproject:read,event:read) or to log in and create one before running commands.Set
SENTRY_AUTH_TOKENas an env var.Optional defaults:
SENTRY_ORG,SENTRY_PROJECT,SENTRY_BASE_URL.Defaults: org/project
{your-org}/{your-project}, time range24h, environmentprod, limit 20 (max 50).Always call the Sentry API (no heuristics, no caching).
If the token is missing, give the user these steps:
Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/
Create a token with read-only scopes such as
project:read,event:read, andorg:read.Set
SENTRY_AUTH_TOKENas an environment variable in their system.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 "$SENTRY_API" \
list-issues \
--org {your-org} \
--project {your-project} \
--query "ABC-123" \
--limit 1Use the returned id for issue detail or events.
3) Issue detail
python3 "$SENTRY_API" \
issue-detail \
12345678904) Issue events
python3 "$SENTRY_API" \
issue-events \
1234567890 \
--limit 205) Event detail (no stack traces by default)
python3 "$SENTRY_API" \
event-detail \
--org {your-org} \
--project {your-project} \
abcdef1234567890API 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: default24h(pass asstatsPeriod).environment: defaultprod.limit: default 20, max 50 (paginate until limit reached).search_query: optionalqueryparameter.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
- ATTRIBUTION.mdAdded by AutoGineer875 B
- LICENSE.txt10.5 KiB
- SKILL.md3.9 KiB
- agents/openai.yaml316 B
- assets/sentry-small.svg661 B
- assets/sentry.png2.0 KiB
- scripts/sentry_api.pyScript7.2 KiB
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
AutoGineer is not affiliated with or endorsed by OpenAI or JetBrains.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download sentry.zip