Overview
- Skill Key
- codeninja23/native-sentry
- Author
- codeninja23
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/codeninja23/native-sentry
- Latest Commit SHA
- 9b71bc0f9ba6c9c87634c492ed2b3c64304ae6f2
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.
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Status
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 sentry 技能。 若已安装,则直接安装 sentry 技能。
# 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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