据 AlphaMoat 统计,截至 2026-09,Grafana 累计下载 3,746 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 2,847 位,在「运维安全」分类(264 个)中排名第 176 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 103 | 3,358 | 4 | - |
| SkillHub ↗ | 99 | 3,746 | 4 | — |
各平台的计数口径不同,统计时间不一致。
它覆盖变量插值、Prometheus rate 查询、面板阈值、服务端告警、通知渠道、仪表板导入、数据源模式和转换顺序,并提示高基数查询或注释查询可能增加负载。具体行为会受数据源和 Grafana 配置影响,应用前应在目标环境验证查询与告警结果。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。 该技能有同名的其他版本,调整前的数据归属当前下载量最大的这一个。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,746 | — | 4 |
| 2026-08 | 3,136 | +7.1% | 4 |
| 2026-07 | 2,929 | +10.4% | 4 |
| 2026-06 | 2,652 | +6.6% | 4 |
| 2026-05 | 2,487 | — | 4 |
| 2026-03 | 1,918 | — | 4 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: Grafana
description: Avoid common Grafana mistakes — query pitfalls, variable templating, alerting traps, and provisioning gotchas.
metadata: {"clawdbot":{"emoji":"📊","os":["linux","darwin","win32"]}}
---
## Variables and Templating
- Multi-value variable needs `$__all` in regex — or only first value used
- `${var:csv}` for comma-separated — `${var:pipe}` for pipe-separated in regex
- Variable in query: `$var` or `${var}` — different escaping per data source- `$__interval` auto-adjusts to time range — use for aggregation window
- Chained variables: child depends on parent — set "Refresh" to "On time range change"
## Prometheus Queries
- `rate()` needs range vector — `rate(requests_total[5m])` not `rate(requests_total)`
- `rate()` for counters, `deriv()` for gauges — rate handles counter resets
- `$__rate_interval` over hardcoded — adapts to scrape interval and dashboard range
- Labels in legend: `{{label}}` — multiple: `{{instance}} - {{job}}`
- Regex filter: `metric{label=~"val1|val2"}` — `!~` for negative match
## Panel Configuration
- "No data" vs "null" are different — configure in display options
- Thresholds work on last value — not all values in range
- Min/max must match your data range — auto-scaling can hide anomalies
- Time series for trends, stat for current value — choose visualization wisely
## Alerting
- Alert evaluates on server — not browser, query must work without variables
- Variables not supported in alerts — hardcode values or use templates
- Multiple conditions: AND is default — configure for OR if needed
- Alert state "Pending" before "Firing" — for duration, prevents flapping
- Notification channel must be configured — alert without channel = no notification
## Dashboard Provisioning
- JSON export includes data source UID — will fail if different on import
- Use data source variables — `${DS_PROMETHEUS}` substituted at runtime
- Provisioned dashboards read-only by default — `allowEditing: true` in provisioning
- Folder must exist before dashboard provisioning — or import fails silently
## Data Sources
- "Server" mode proxies through Grafana — hides credentials from browser
- "Browser" mode direct from browser — faster but exposes URL/auth
- Test connection catches most issues — but not query-specific problems
- TLS skip verify for self-signed — but fix proper certs for production
## Transformations
- Order matters — transformations apply in sequence
- Outer join for combining queries — match on time or label
- Reduce for aggregating time series — last, mean, max, etc.
- Add field from calculation — combine metrics client-side
## Common Mistakes
- Time range selector affects variable queries — unexpected results with "All time"
- Dashboard saved but datasource not — works locally, breaks on import
- Alert rule in dashboard vs Grafana alerting — different systems, don't mix
- Panel queries run on every refresh — high-cardinality queries slow dashboard
- Annotation queries add DB load — use sparingly on busy dashboards
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。