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Read Sentry issues, events, and production errors via the Sentry REST API. Use when the user wants to inspect errors, list recent issues, get stack traces, or summarize production health. Requires SENTRY_AUTH_TOKEN with read-only scopes.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install codeninja23/native-sentry打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Read production errors and issues from Sentry.
# Check token is set (does not print the value)
[ -n "$SENTRY_AUTH_TOKEN" ] && echo "SENTRY_AUTH_TOKEN: set" || echo "SENTRY_AUTH_TOKEN: MISSING"
echo "ORG=${SENTRY_ORG:-not set}"
echo "PROJECT=${SENTRY_PROJECT:-not set}"
If SENTRY_AUTH_TOKEN is missing:
project:read, event:read, org:read
SENTRY_AUTH_TOKEN in your environmentSet optional defaults to avoid passing flags every time:
export SENTRY_ORG=your-org-slug
export SENTRY_PROJECT=your-project-slug
SKILL_DIR="$(python3 -c "import os; print(os.path.dirname(os.path.realpath('$0')))" 2>/dev/null || echo "$HOME/.claude/skills/sentry")"
SENTRY_API="$SKILL_DIR/scripts/sentry_api.py"
python3 "$SENTRY_API" list-issues \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
--time-range 24h \
--environment prod \
--limit 20 \
--query "is:unresolved"
python3 "$SENTRY_API" issue-detail ISSUE_ID
python3 "$SENTRY_API" issue-events ISSUE_ID --limit 10
python3 "$SENTRY_API" event-detail \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
EVENT_ID
Add --include-entries to include stack traces.
python3 "$SENTRY_API" list-issues \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
--query "ABC-123" \
--limit 1
| Flag | Default | Description |
|---|---|---|
--org |
$SENTRY_ORG |
Org slug |
--project |
$SENTRY_PROJECT |
Project slug |
--time-range |
24h |
Stats period (e.g. 7d, 30d) |
--environment |
prod |
Environment filter |
--limit |
20 |
Ma... |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Read production errors and issues from Sentry via the Sentry REST API.
MYAPP-123) to internal IDsproject:read, event:read, org:read
export SENTRY_AUTH_TOKEN=sntrys_...
export SENTRY_ORG=your-org-slug
export SENTRY_PROJECT=your-project-slug
# List recent issues
python3 scripts/sentry_api.py list-issues --time-range 24h --limit 20
# Issue detail
python3 scripts/sentry_api.py issue-detail 1234567890
# Events for an issue
python3 scripts/sentry_api.py issue-events 1234567890 --limit 10
# Event detail (no stack traces)
python3 scripts/sentry_api.py event-detail abcdef1234567890
# Event detail (with stack traces)
python3 scripts/sentry_api.py event-detail abcdef1234567890 --include-entries
export SENTRY_BASE_URL=https://sentry.yourcompany.com
# Sentry (Read-only)
Read production errors and issues from Sentry.
## Setup
```bash
# Check token is set (does not print the value)
[ -n "$SENTRY_AUTH_TOKEN" ] && echo "SENTRY_AUTH_TOKEN: set" || echo "SENTRY_AUTH_TOKEN: MISSING"
echo "ORG=${SENTRY_ORG:-not set}"
echo "PROJECT=${SENTRY_PROJECT:-not set}"
```
If `SENTRY_AUTH_TOKEN` is missing:
1. Go to https://sentry.io/settings/account/api/auth-tokens/
2. Create a token with scopes: `project:read`, `event:read`, `org:read`
3. Set `SENTRY_AUTH_TOKEN` in your environment
Set optional defaults to avoid passing flags every time:
```bash
export SENTRY_ORG=your-org-slug
export SENTRY_PROJECT=your-project-slug
```
## Script path
```bash
SKILL_DIR="$(python3 -c "import os; print(os.path.dirname(os.path.realpath('$0')))" 2>/dev/null || echo "$HOME/.claude/skills/sentry")"
SENTRY_API="$SKILL_DIR/scripts/sentry_api.py"
```
## Commands
### List recent issues
```bash
python3 "$SENTRY_API" list-issues \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
--time-range 24h \
--environment prod \
--limit 20 \
--query "is:unresolved"
```
### Get issue detail
```bash
python3 "$SENTRY_API" issue-detail ISSUE_ID
```
### Get events for an issue
```bash
python3 "$SENTRY_API" issue-events ISSUE_ID --limit 10
```
### Get event detail (no stack traces by default)
```bash
python3 "$SENTRY_API" event-detail \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
EVENT_ID
```
Add `--include-entries` to include stack traces.
### Resolve a short ID (e.g. ABC-123) to issue ID
```bash
python3 "$SENTRY_API" list-issues \
--org "$SENTRY_ORG" \
--project "$SENTRY_PROJECT" \
--query "ABC-123" \
--limit 1
```
## Parameters
| Flag | Default | Description |
|------|---------|-------------|
| `--org` | `$SENTRY_ORG` | Org slug |
| `--project` | `$SENTRY_PROJECT` | Project slug |
| `--time-range` | `24h` | Stats period (e.g. `7d`, `30d`) |
| `--environment` | `prod` | Environment filter |
| `--limit` | `20` | Ma...# sentry Read production errors and issues from [Sentry](https://sentry.io) via the Sentry REST API. ## What it does - List recent unresolved issues - Get issue details - List events for an issue - Get event detail (with optional stack traces) - Resolve short IDs (e.g. `MYAPP-123`) to internal IDs - PII redacted by default (emails, IPs) ## Requirements - Python 3 (stdlib only, no pip needed) - A Sentry auth token with read-only scopes ## Auth token setup 1. Go to https://sentry.io/settings/account/api/auth-tokens/ 2. Create a token with scopes: `project:read`, `event:read`, `org:read` 3. Export it: ```bash export SENTRY_AUTH_TOKEN=sntrys_... export SENTRY_ORG=your-org-slug export SENTRY_PROJECT=your-project-slug ``` ## Usage ```bash # List recent issues python3 scripts/sentry_api.py list-issues --time-range 24h --limit 20 # Issue detail python3 scripts/sentry_api.py issue-detail 1234567890 # Events for an issue python3 scripts/sentry_api.py issue-events 1234567890 --limit 10 # Event detail (no stack traces) python3 scripts/sentry_api.py event-detail abcdef1234567890 # Event detail (with stack traces) python3 scripts/sentry_api.py event-detail abcdef1234567890 --include-entries ``` ## Self-hosted Sentry ```bash export SENTRY_BASE_URL=https://sentry.yourcompany.com ``` ## Notes - Works with OpenClaw and other Claude Code-compatible skill runners - Script is pure Python stdlib — no dependencies to install
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