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Openai Sentry

  • 53 installs
  • 475 repo stars
  • Updated July 14, 2026
  • trailofbits/skills-curated

Helps with ai & agent building tasks during AI-assisted development.

About

openai-sentry is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • openai-sentry
  • AI & Agent Building
  • AI-coding skill

Openai Sentry by the numbers

  • 53 all-time installs (skills.sh)
  • +2 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #6,997 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs53
repo stars475
Last updatedJuly 14, 2026
Repositorytrailofbits/skills-curated

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

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.

Scripts and references are located under {baseDir}/.

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.

When to Use

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When NOT to Use

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