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Agent skill

Sentry App Setup

by vellum-ai in vellum-ai/vellum-assistant

Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity

MITAuto-check passed

Install Sentry App Setup

skills CLI
$ npx skills add vellum-ai/vellum-assistant --skill sentry-app-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vellum-ai/vellum-assistant sentry-app-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sentry-app-setup .claude/skills/sentry-app-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sentry-app-setup
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
618 words
Files
5 (incl. scripts, references, assets)
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity

  • Works in 7 steps: Check Existing Configuration → Create the Internal Integration → Collect the Auth Token → …
  • SKILL.md covers Overview, Prerequisites and Setup Flow
  • Runs TypeScript scripts from its folder; calls bun and curl; reaches sentry.io

What it does

Sentry App Setup is an agent skill from vellum-ai/vellum-assistant. Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `references/troubleshooting.md`, `scripts/check-config.ts` and `scripts/store-token.ts`). Compatibility notes: Designed for Vellum personal assistants

It works with Sentry. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.

Example prompts

  • “/sentry-app-setup”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Designed for Vellum personal assistants

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Check Existing Configuration
  2. Create the Internal Integration
  3. Collect the Auth Token
  4. Collect the Organization Slug
  5. Verify
  6. Set the Integration Logo (Optional)
  7. Report Success

What it can do on your machine

Read from SKILL.md and the folder at commit 844117a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (TypeScript), which the agent can run.

    Shell commands in SKILL.md call:

    • bun
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • sentry.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Vellum personal assistants

    From compatibility in the SKILL.md frontmatter.

Context cost

Sentry App Setup loads about 1.3k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 618 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from vellum-ai/vellum-assistant at commit 844117a, republished under its MIT licence (© vellum-ai). 618 words, ~1,301 tokens.

Download SKILL.mdSave it as .claude/skills/sentry-app-setup/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sentry-app-setup
description
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
compatibility
Designed for Vellum personal assistants
metadata.icon
assets/icon.svg
metadata.emoji
🔺

Overview

Set up a Sentry internal integration so the assistant can interact with a Sentry organization — querying issues, resolving events, managing releases, and monitoring alerts as its own entity.

Internal integrations are scoped to a single organization. They don't require an OAuth flow — you get an auth token immediately after creation. Tokens don't expire automatically (but can be revoked manually).

Total manual effort: ~2 interactions — create the integration and grab the auth token.

Prerequisites

  • User must be an organization owner or manager in Sentry
  • User must be logged into Sentry in their browser

Setup Flow

Step 0: Check Existing Configuration

Before starting, check whether Sentry is already configured by running the check script:

bash
bun skills/sentry-app-setup/scripts/check-config.ts

The script outputs JSON: { "configured": boolean, "details": string }.

  • If configured is true — Sentry is already set up. Offer to verify the connection or reconfigure.
  • If configured is false — continue to Step 1.
Step 1: Create the Internal Integration

Direct the user to create a new internal integration:

Open https://sentry.io/settings/developer-settings/new-internal/ to create a new internal integration.

Guide them through the form:

FieldValue
NameThe assistant's name. This is how the integration appears in Sentry.
Webhook URLLeave blank (not needed for API-only usage)

Permissions — set these based on what the assistant needs. Recommended defaults:

ResourceAccess Level
Issue & EventRead
ProjectRead
OrganizationRead

Adjust permissions up or down based on the user's needs. The principle of least privilege applies — only request what you'll actually use. Add write access to Issue & Event or Project if the assistant needs to resolve issues or manage releases.

Click Save Changes when done. The integration is automatically installed on the organization.

Step 2: Collect the Auth Token

After saving, Sentry displays the integration's details page. An auth token is automatically generated.

Tell the user: on the integration details page, find the Tokens section and copy the auth token.

Then run the store script to securely collect and store the token:

bash
bun skills/sentry-app-setup/scripts/store-token.ts

The script opens a secure credential prompt in the user's app, stores the token in the encrypted vault with the correct injection templates, and exits. No further action needed — if it exits 0, the token is stored. Exit code 130 means the user cancelled the prompt — nothing was stored; that's a valid choice, not an error, so ask whether they'd like to try again rather than treating it as a failure. Any other non-zero exit is a real failure.

Show full SKILL.md (220 more words)Show less
Step 3: Collect the Organization Slug

The org slug is needed for API calls. Ask the user for it — it's visible in their Sentry URL as sentry.io/organizations/{slug}/.

Remember the org slug for future API calls.

Step 4: Verify

After storing the token, verify the connection:

bash
curl -s https://sentry.io/api/0/organizations/{org_slug}/ \
  -H "Content-Type: application/json"

Run with network_mode: "proxied" and the sentry credential. A successful response returns the organization's details.

If the response returns a 401, the token is invalid or revoked. If 403, the integration doesn't have org:read permission.

Step 5: Set the Integration Logo (Optional)

Sentry supports uploading a logo for internal integrations through the web UI (not via API).

Direct the user:

Go to Settings > Developer Settings, find your integration, and upload a logo.

Logo requirements: PNG, 256×256 to 1024×1024, transparent background (unless the logo fills the entire space).

Small Icon requirements (optional, separate upload): PNG, must use only black with an alpha channel — no colors, no white fill. Sentry rejects icons that use any color other than black.

Step 6: Report Success

Summarize with the completed checklist:

"Setup complete! ✅ Internal integration created ✅ Auth token configured ✅ Connection verified {logo_line}

Connected: {integration_name} in {org_slug} Permissions: {list the configured permission levels} Token: does not expire (can be revoked in Settings > Developer Settings)"

For {logo_line}:

  • If logo was uploaded: ✅ Logo uploaded
  • If skipped: ⬜ Logo — upload anytime in Settings > Developer Settings

© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/sentry-app-setup of vellum-ai/vellum-assistant.

  • SKILL.md
  • assets/icon.svg
  • references/troubleshooting.md
  • scripts/check-config.ts
  • scripts/store-token.ts

Open the folder on GitHubat commit 844117a

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Scraps Reviewgetsentry/sentry46k—~1.2kAutomated safety check: NotesCustom licence
Sentry v8 Error Trackingdiet103/claude-code-infrastructure-showcase10k2 repos~2.3kAutomated safety check: NotesMIT
Create Pull Request with Work Item IDmakeplane/plane61k—~824Automated safety check: PassAGPL-3.0

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Works with

Questions about Sentry App Setup

What does Sentry App Setup do?

Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity. Sentry App Setup is an agent skill from vellum-ai/vellum-assistant.

How do I install Sentry App Setup in Claude Code?

Run `npx skills add vellum-ai/vellum-assistant --skill sentry-app-setup -a claude-code`. Or copy the skill folder (skills/sentry-app-setup in vellum-ai/vellum-assistant) into .claude/skills/sentry-app-setup in your project. Claude Code loads it when a task matches its description.

How do I install Sentry App Setup in Codex?

Run `npx skills add vellum-ai/vellum-assistant --skill sentry-app-setup -a codex`. Or copy the skill folder (skills/sentry-app-setup in vellum-ai/vellum-assistant) into .agents/skills/sentry-app-setup in your project. Codex loads it when a task matches its description.

Can I use Sentry App Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill sentry-app-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentry-app-setup, .gemini/skills/sentry-app-setup, .github/skills/sentry-app-setup and .opencode/skills/sentry-app-setup in your project.

What does Sentry App Setup need to run?

Going by SKILL.md and its folder, Sentry App Setup needs TypeScript for the scripts in its folder and the command-line tools its instructions call (bun and curl). Our summary lists: Node.js. Compatibility (from SKILL.md): Designed for Vellum personal assistants.

Does Sentry App Setup access the network?

SKILL.md names 1 domain. In commands or code: sentry.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Sentry App Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sentry App Setup use?

Sentry App Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sentry App Setup use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 455 tokens, read only when the agent opens those files.

What are the alternatives to Sentry App Setup?

Skills that share tags, products or a category with Sentry App Setup: Code Design Rationale Investigator (cursor/plugins, 10k stars), Node Backend Development Guidelines (diet103/claude-code-infrastructure-showcase, 10k stars), Scraps Review (getsentry/sentry, 46k stars) and Sentry v8 Error Tracking (diet103/claude-code-infrastructure-showcase, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sentry App Setup?

vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,400 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.