sentry-for-ai AGENTS.md

Repository instructions for the Sentry plugin for AI coding assistants such as Claude Code, Cursor, Codex, and Grok. They describe its source layout, build process, versioning, skill rules, and required commit attribution.

In plain words
What is it for?
Use them when developing or building Sentry assistant integrations, adding skills or references, updating manifests, or preparing commits and releases.
Why use it?
They prevent agents from editing generated distribution files or using unsupported skill metadata, and ensure AI-authored commits identify their model.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/getsentry/sentry-for-ai/agents-md
Clone the repo
git clone --depth 1 https://github.com/getsentry/sentry-for-ai

Made for: Codex, OpenCode.

Per session 2,263 This file is loaded in full into every session.
When invoked 2,263 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.02263 $0.02263
Opus 5 $0.01131 $0.01131
Sonnet 5 $0.00453 $0.00453
Haiku 4.5 $0.00226 $0.00226

Measured 2d ago against content hash 53918f5b4238, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sentry-for-ai AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

Project Overview

Sentry plugin for AI coding assistants (Claude Code, Cursor, Codex, and Grok). Provides MCP server integration and skills.

Commit Attribution

AI commits MUST include:

Co-Authored-By: (the agent model's name and attribution byline)

Repository Structure

All buildable source lives under src/ — this repo is not itself an installable plugin.

src/skills/              # Skill library (source of truth)
src/references/          # Shared reference content hydrated into skills at build time
src/plugins/<agent>/     # Per-agent build scripts + manifests
src/plugins/version.json # The one release version, stamped into every manifest
src/SKILL_TREE.md        # Generated skill index (see Skill Tree Navigation below)

Per-agent plugin metadata is generated by the src/plugins/<agent>/build.sh scripts and published to each agent’s distribution repository; it is not committed here.

Skill frontmatter is name, description, and license. Nothing else is required, and the retired router fields (category, parent, role, disable-model-invocation) are rejected — see Skill Tree Navigation below.

Skills

src/SKILL_TREE.md is the list, generated from the skills themselves. Read it rather than a copy: an inventory duplicated here goes stale the first time a skill is added, renamed, or dissolved, which is exactly what happened to the one that used to live in this section.

The shape to know: every skill is flat and task-shaped — one skill, one job a user would name, found through its own description. Platform coverage is not a skill per SDK; the per-platform material lives in the reference library and is hydrated into whichever skills declare it.

MCP Server

Sentry MCP server configured at https://mcp.sentry.dev/mcp. The source of truth is mcp.json: Cursor consumes it as-is at the plugin root, while the Codex and Grok builds emit it as .mcp.json (Codex’s validator requires the dotted name; Grok auto-discovers it). Claude declares the server inline in its plugin.json (mcpServers), so the Claude build ships no MCP file.

Read the full file on GitHub · 192 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 192 lines · 2,263 tokens per session scan A 53918f5b4238

Subscribe to this mod's changes

sentry-for-ai AGENTS.md is an instructions file published in the GitHub repository getsentry/sentry-for-ai (255 stars, last pushed 4d ago), licensed MIT. It adds 2,263 tokens to every session, about $0.0113 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.