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promql-cli

by @samberv
4.4(120)

此技能提供一个命令行工具,用于查询 Prometheus 及兼容引擎,支持即时查询、范围查询和指标发现。它能帮助用户快速诊断系统性能问题、分析时序数据,并有效排查延迟、错误率和饱和度等可观测性挑战,提升故障排除效率。

promqlprometheuscliobservabilitytroubleshootingGitHub
安装方式
npx skills add https://github.com/samber/cc-skills --skill promql-cli
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Before / After 效果对比

1 组
使用前

在没有这个技能之前,开发者需要手动登录到 Prometheus UI 或使用复杂的 API 调用来执行查询,这使得排查性能问题、分析指标和发现异常变得耗时且效率低下,尤其是在命令行环境中。

使用后

该 Skill 提供了一个高效的命令行界面,使开发者能够快速执行 PromQL 查询、发现指标并可视化数据。此技能显著缩短了故障排查时间,提高了对系统可观测性数据的分析效率,从而更快地定位并解决问题。

SKILL.md

promql-cli — Prometheus Query CLI Skill

promql-cli (github.com/nalbury/promql-cli) is a Go CLI for querying, analyzing, and visualizing Prometheus metrics, plus PromQL fundamentals.

Reference Files

Read the relevant reference file(s) before executing tasks:

FileWhen to read
references/installation.mdUser needs to install promql-cli or set up configuration (hosts, auth, token, password, multi-host)
references/usage.mdUser wants to discover metrics/exporters/labels, run queries, or choose output formats
references/graphing.mdUser wants to visualize Prometheus data as an ASCII chart in the terminal
references/debugging.mdUser is investigating a performance issue, latency, errors, or saturation
references/promql-reference.mdUser needs help writing PromQL, understanding metric types, functions, or aggregations

For most tasks, read references/usage.md. For PromQL help, read references/promql-reference.md. When debugging, read both references/debugging.md and references/promql-reference.md.

Setup Check

Before running any query, verify that a host is configured:

promql 'up'   # succeeds if host is reachable; fails with connection error if not configured
# or
promql --host xxx 'up'

Recognize these errors as a configuration/auth problem and refer to references/installation.md:

ErrorCause
dial tcp ... connection refusedNo host running at the configured address
dial tcp ... no such hostHostname not resolved — wrong host in config
error querying prometheus: ...401...Bearer token missing or invalid
error querying prometheus: ...403...Token valid but insufficient permissions
please specify an authentication typeAuth flags partially set — use config file instead

If any of these appear, do not create config files on behalf of the user — config files may contain credentials (tokens, passwords) that must never pass through an LLM. Instead, guide the user to set it up themselves:

"Please create ~/.promql-cli.yaml manually with your Prometheus host (and credentials if needed). See references/installation.md for the exact format. Let me know once it's ready."

Only after the user confirms the config is in place should you proceed with queries.

Quick Command Reference

promql 'up'                                          # instant query
promql 'rate(http_requests_total[5m])' --start 1h    # range query (ASCII graph)
promql 'up' --output csv                             # CSV output
promql 'up' --output json                            # JSON output
promql metrics                                       # list all metric names
promql labels <metric>                               # list labels for a metric
promql meta <metric>                                 # show metric type and help
promql --config ~/.promql-cli-prod.yaml 'up'         # target a specific host

Key Principles

  1. Use rate() on counters, never raw values — raw counters only ever increase; the absolute value is meaningless. rate() gives the per-second change rate, which is what you actually care about.
  2. When debugging, isolate a single instance — aggregating across replicas masks per-instance anomalies. A single overloaded pod hidden behind healthy peers won't show up in averages.
  3. Filter early with label matchers in the innermost selector — Prometheus evaluates selectors before functions, so filtering late means scanning all time series. Early filters reduce data scanned and query latency.
  4. For histograms, keep le in the by clause before histogram_quantile() — the function needs all le buckets to interpolate percentiles; dropping le early produces NaN or wrong results.
  5. Prefer --output graph for range queries — ASCII sparklines convey trend direction (rising, falling, spiking) in a compact format that LLMs parse well; raw timestamp tables require mental modeling.
  6. Store credentials in ~/.promql-cli.yaml and ~/.promql_token, chmod 600 — passing tokens as CLI args exposes them in shell history and process listings.

This skill is not exhaustive. Please refer to the official promql-cli documentation and examples for up-to-date information. Context7 can help as a discoverability platform.

If you encounter a bug or unexpected behavior in promql-cli itself, open an issue at https://github.com/nalbury/promql-cli/issues.

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统计数据

安装量4.0K
评分4.4 / 5.0
版本
更新日期2026年10月23日
对比案例1 组

用户评分

4.4(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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创建2026年6月25日
最后更新2026年10月23日
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