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X Openai Sentry Fa946ca

ASecurity

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.

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  • Added October 14, 2026
ai-agentspythongoshellbashapi

Works with

  • cli
  • api
  • mcp

Security analysis

A100/100

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Scanned October 14, 2026

npx -y skills add Geruyang/agent-skills-library --skill x-openai-sentry-fa946ca --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: x-openai-sentry-fa946ca
description: Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
---

### 导出副本边界与技能别名

迁移、安装、修复和经验回写只作用于当前加载的目标宿主技能副本。原 Codex 技能/MCP、下载的源码和 `original-skills` 均为来源材料,不因执行本副本而写入;只有用户另行明确要求配置 Codex 产品本身时,才按该产品流程处理指定目标。脚本需要安装目录或状态目录时,显式提供目标路径;不得从 `CODEX_HOME` 隐式推断写入位置。

跨技能名称可能沿用源库别名。先查 [技能别名表](../../skill-aliases.json),优先选择同来源、同插件的条目,再使用其 `id` 调用或读取对应入口;不得假定旧 `$skill`、`superpowers:skill` 名称在新宿主直接注册。不能确定目标时先核对,不替换真实产品命令或 Shell 环境变量。

## 跨宿主使用约定

本副本供支持 Agent Skills 的客户端使用。先检查当前宿主实际提供的工具、权限和已连接服务,再执行正文工作流。原文中的宿主工具标识是能力参考;只有实际发现该工具时才可调用,其他宿主应使用经核验的等价 MCP、CLI 或 API。没有等价能力的步骤必须报告不可用,不能虚构调用或完成状态。

技能资源以本技能目录为基准;输出写入当前项目中用户指定的位置。通过技能名称或自然语言触发,具体快捷命令由宿主决定。涉及真实产品、模型 API、协议字段和官方网址的名称保持原意。授权、审批、隐私和工具范围限制在迁移后仍然有效;不得为兼容而扩大权限。具体依赖与迁移说明见同目录 `PORTABILITY.md`。

# 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.

## Bundled script path

```bash
export SENTRY_API="plugins/sentry/skills/sentry/scripts/sentry_api.py"
```

If you are running from an installed plugin copy instead of this repo checkout, use the same
`skills/sentry/scripts/sentry_api.py` path inside the installed plugin directory.

### 1) List issues (ordered by most recent)

```bash
python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  list-issues \
  --environment prod \
  --time-range 24h \
  --limit 20 \
  --query "is:unresolved"
```

### 2) Resolve an issue short ID to issue ID

```bash
python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  list-issues \
  --query "ABC-123" \
  --limit 1
```

Use the returned `id` for issue detail or events.

### 3) Issue detail

```bash
python3 "$SENTRY_API" \
  --org {your-org} \
  issue-detail \
  1234567890
```

### 4) Issue events

```bash
python3 "$SENTRY_API" \
  --org {your-org} \
  issue-events \
  1234567890 \
  --environment prod \
  --time-range 24h \
  --limit 20
```

### 5) Event detail (no stack traces by default)

```bash
python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  event-detail \
  abcdef1234567890
```

## API requirements

Always use these endpoints (GET only):

- List issues: `/api/0/projects/{org_slug}/{project_slug}/issues/`
- Issue detail: `/api/0/organizations/{org_slug}/issues/{issue_id}/`
- Events for issue: `/api/0/organizations/{org_slug}/issues/{issue_id}/events/`
- Event detail: `/api/0/projects/{org_slug}/{project_slug}/events/{event_id}/`

## Inputs and defaults

- `org_slug`: default to `{your-org}` (required for issue detail, issue events, and event detail).
- `project_slug`: default to `{your-project}` (required for list issues and event detail).
- `time_range`: default `24h` (pass as `statsPeriod` for list issues and issue events).
- `environment`: default `prod` (used by list issues and issue events).
- `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.

Files in this skill

  • LICENSE.txt10.7 KB
  • PORTABILITY.md981 B
  • SKILL.md5.8 KB
  • agents/openai.yaml322 B
  • assets/sentry-small.svg664 B
  • assets/sentry.png2 KB
  • scripts/sentry_api.py7.9 KB

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