SKILL.md
Sentry Skill
Inspect Sentry issues and events, summarize production errors, and pull health data via the Sentry API. Read-only access using the bundled Python script.
When to Use
- Investigating production errors or exceptions
- Summarizing recent error trends
- Checking issue details, stack traces, and event counts
- Reviewing release health and adoption
- Pulling project or organization-level Sentry data
Prerequisites
# Required environment variable
export SENTRY_AUTH_TOKEN="your-auth-token"
# Set script path (adjust to your installation)
export SENTRY_API="scripts/sentry_api.py"
Usage
# List recent issues
python3 $SENTRY_API issues list --org my-org --project my-project
# Get issue details
python3 $SENTRY_API issues get --org my-org --issue-id 12345
# List events for an issue
python3 $SENTRY_API events list --org my-org --issue-id 12345
# Search issues
python3 $SENTRY_API issues search --org my-org --query "TypeError" --project my-project
# Release health
python3 $SENTRY_API releases list --org my-org --project my-project
Common Patterns
Error Investigation
# 1. List recent unresolved issues
python3 $SENTRY_API issues list --org my-org --project my-project --query "is:unresolved"
# 2. Get details on a specific issue
python3 $SENTRY_API issues get --org my-org --issue-id 12345
# 3. View recent events
python3 $SENTRY_API events list --org my-org --issue-id 12345
Trend Analysis
# Search for specific error types
python3 $SENTRY_API issues search --org my-org --query "TypeError" --project my-project
# Check release health
python3 $SENTRY_API releases list --org my-org --project my-project
Notes
- All operations are read-only — no write or modify operations
- Auth token needs appropriate scopes (org:read, project:read)
- Script path depends on your installation directory
- Use
--help on any subcommand for available options