一键导入
sentry
Monitor and analyze Sentry errors via MCP. Triggers: sentry, sentry issues, check errors, error tracking, show crashes.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Monitor and analyze Sentry errors via MCP. Triggers: sentry, sentry issues, check errors, error tracking, show crashes.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Convert DOCX / PPTX / XLSX / HTML / EPUB to markdown via Microsoft markitdown. Triggers: markitdown, convert document, extract docx, extract pptx, extract xlsx, .docx file, .pptx file, .xlsx file.
Auto-test a skill by generating scenarios and running them. Args: [skill-name]. Use when user says 'skill-test', 'test skill', 'validate skill'.
Session-scoped precision mode — read-before-write, verify-before-claim, never-hallucinate-APIs. Use when stakes are high (security, payment, migration). Triggers: 'zero defect', 'precision mode', 'high stakes', 'be careful'.
Read, analyze, and generate Excel/CSV files. Triggers: excel, spreadsheet, csv, export data, create table, .xlsx, .csv.
Read, extract, and analyze PDF documents. Triggers: pdf, read pdf, extract from pdf, analyze pdf, .pdf file path.
| name | sentry |
| description | Monitor and analyze Sentry errors via MCP. Triggers: sentry, sentry issues, check errors, error tracking, show crashes. |
| effort | medium |
| context | inline |
Search, analyze, and triage Sentry errors via MCP tools. Always respond in the user's language.
Sentry MCP server must be configured in .mcp.json:
{
"mcpServers": {
"sentry": {
"url": "https://mcp.sentry.dev/mcp"
}
}
}
Or self-hosted with auth token:
{
"mcpServers": {
"sentry": {
"command": "npx",
"args": ["-y", "@sentry/mcp-server-stdio"],
"env": { "SENTRY_AUTH": "<TOKEN>" }
}
}
}
If not configured, help user set up .mcp.json first and stop.
Verify Sentry MCP tools are available. If not — guide user through setup.
$ARGUMENTS = empty → show recent unresolved issues (step 3)$ARGUMENTS = "issues [project]" → list issues for project (step 3)$ARGUMENTS = "issue " → get detailed issue info (step 4)$ARGUMENTS = "errors [project]" → list recent error events (step 3)$ARGUMENTS = "analyze " → deep analysis with fix suggestion (step 5)list_project_issues(project_slug, query="is:unresolved", sort="date")
Present as compact table with events count and last seen.
get_sentry_issue(issue_id)
Show: title, stacktrace, frequency, affected users, first/last seen, tags.
Grep "{error pattern}" in project files
.tausik/tausik task quick "Fix: {error title}" --stack {stack} --role developer
If active task exists:
.tausik/tausik task log <slug> "Sentry: analyzed {issue-id}, root cause: {summary}"
## Sentry: {project} (last 24h)
| # | Issue | Events | Users | Last Seen |
|---|-------|--------|-------|-----------|
| PROJ-456 | TypeError: null ref | 234 | 45 | 2m ago |
/sentry analyze — always find the file locally and suggest a fix/debug for deep debugging, /task to start fixing, /plan to plan the fixurl) and self-hosted (command). Auth tokens differ between them.