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Sentry

Official
openai·vlatest·devops

Sentry proactively monitors conversations for harmful content, ensuring safer interactions by flagging potential risks and promoting responsible AI use.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openai/skills --skill sentry -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/.curated/sentry/SKILL.md:18tells the user to run: remote script piped into a shell(in the instructions, not code)
      1. Install the Sentry CLI: `curl https://cli.sentry.dev/install -fsS | bash`

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • Pinned to a commit: passed

    Scanned openai/skills at 49f948faa9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
49f948faa9
Manifest
skills/.curated/sentry/SKILL.md
Scanned
3 files, 108 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides read-only access to Sentry, a platform for application error tracking and performance monitoring. It allows an AI agent to inspect production errors, retrieve issue details, view events associated with those issues, and examine individual event data – all while automatically redacting personally identifiable information (PII). The skill leverages the Sentry CLI and handles authentication, pagination, and retries behind the scenes for simplified querying.

When to use it

  • Troubleshooting Production Issues: Quickly identify and investigate unresolved errors in a production environment.
  • Analyzing Error Trends: Examine recent issues and their details to understand patterns and potential root causes.
  • Reviewing Event Data: Inspect individual error events, with PII automatically removed for privacy compliance.

Key capabilities

  • Issue Listing: Retrieves a list of unresolved issues, ordered by recency.
  • Issue Details Retrieval: Fetches detailed information about specific Sentry issues.
  • Event Inspection: Allows viewing the events associated with an issue.
  • PII Redaction: Automatically removes personally identifiable information from event data.
  • Automatic Pagination & Retries: Handles large datasets and transient errors automatically.

Example prompts

  • "List the 20 most recent unresolved issues in production."
  • "What are the details of issue short ID '12345'?"
  • "Show me the events associated with issue '67890'."

Tips & gotchas

  • Authentication: Requires a read-only SENTRY_AUTH_TOKEN with project:read, event:read, and org:read scopes. Do not paste your token directly into chat; set it as an environment variable instead.
  • Auto-Detection: The skill attempts to automatically detect the Sentry organization and project. If this fails, you'll need to explicitly specify them in your prompts.
  • JSON Output: Use --json when processing output programmatically for structured data.