MCPInstall

sentry

Inspect Sentry issues, summarize production errors, and pull health data via the Sentry API (read-only). Use when user says "check Sentry", "what errors in production?", "summarize Sentry issues", "recent crashes", or "production error report". Requires SENTRYAUTHTOKEN. Do NOT use for setting up Sentry SDK, configuring alerts, or non-Sentry error monitoring.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tech-leads-club/agent-skills --skill sentry
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads sentry automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

User-scoped skills install under $AGENT_SKILLS_HOME/skills (default: ~/.agent-skills/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.

FAQ

What does the sentry skill do?

Inspect Sentry issues, summarize production errors, and pull health data via the Sentry API (read-only). Use when user says "check Sentry", "what errors in production?", "summarize Sentry issues", "recent crashes", or "production error report". Requires SENTRYAUTHTOKEN. Do NOT use for setting up Sentry SDK, configuring alerts, or non-Sentry error monitoring.

How do I install sentry?

Run npx skills add https://github.com/tech-leads-club/agent-skills --skill sentry in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sentry/ (personal) or .claude/skills/sentry/ (project).

Which AI agents can use sentry?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is sentry safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains sentry?

It is published by tech-leads-club in tech-leads-club/agent-skills. It has 198 recorded installs.

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