grafana-tst — for Claude Code grafana-tst, claude-cli, community, for Claude Code, ide skills, list_datasources, query_prometheus, query_loki_logs, search_traces, list_prometheus_metric_names

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need grafana test environment skill. 本地化技能摘要: Anthropic Claude Code CLI and tooling # Grafana Test Environment Skill Agent Delegation Delegate ALL operations to the grafana-tst agent.

功能特性

Grafana Test Environment Skill
Delegate ALL operations to the grafana-tst agent.
"Use the grafana-tst agent to complete this task."
The grafana-tst agent provisions the grafana-tst MCP server and has the required
tools (list datasources, query prometheus, query loki logs, search traces, etc.).

# 核心主题

stefanbosak stefanbosak
[0]
[0]
更新于: 4/18/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
67
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need grafana test environment skill. 本地化技能摘要: Anthropic Claude Code CLI and tooling # Grafana Test Environment Skill Agent Delegation Delegate ALL operations to the grafana-tst agent.

核心价值

推荐说明: grafana-tst helps agents grafana test environment skill. Anthropic Claude Code CLI and tooling # Grafana Test Environment Skill Agent Delegation Delegate ALL operations to the grafana-tst agent.

适用 Agent 类型

适用场景: Ideal for AI agents that need grafana test environment skill.

赋予的主要能力 · grafana-tst

适用任务: Applying Grafana Test Environment Skill
适用任务: Applying Delegate ALL operations to the grafana-tst agent
适用任务: Applying "Use the grafana-tst agent to complete this task."

! 使用限制与门槛

  • 限制说明: Dashboards : JSON-defined panels; use get dashboard summary for large dashboards to avoid token limits.
  • 限制说明: Dashboards : JSON-defined panels; use get dashboard summary for large dashboards to avoid token limits
  • 限制说明: Requires repository-specific context from the skill documentation

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

grafana-tst 是什么?

适用场景: Ideal for AI agents that need grafana test environment skill. 本地化技能摘要: Anthropic Claude Code CLI and tooling # Grafana Test Environment Skill Agent Delegation Delegate ALL operations to the grafana-tst agent.

如何安装 grafana-tst?

运行命令:npx killer-skills add stefanbosak/claude-cli/grafana-tst。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

grafana-tst 适用于哪些场景?

典型场景包括:适用任务: Applying Grafana Test Environment Skill、适用任务: Applying Delegate ALL operations to the grafana-tst agent、适用任务: Applying "Use the grafana-tst agent to complete this task."。

grafana-tst 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

grafana-tst 有哪些限制?

限制说明: Dashboards : JSON-defined panels; use get dashboard summary for large dashboards to avoid token limits.;限制说明: Dashboards : JSON-defined panels; use get dashboard summary for large dashboards to avoid token limits;限制说明: Requires repository-specific context from the skill documentation。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add stefanbosak/claude-cli/grafana-tst。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    grafana-tst 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

grafana-tst

安装 grafana-tst,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Grafana Test Environment Skill

Agent Delegation

Delegate ALL operations to the grafana-tst agent. "Use the grafana-tst agent to complete this task."

The grafana-tst agent provisions the grafana-tst MCP server and has the required tools (list_datasources, query_prometheus, query_loki_logs, search_traces, etc.).

Description

Access Grafana test environment for observability data. Covers metrics (Prometheus), logs (Loki), traces (Tempo), profiling (Pyroscope), incident management, OnCall schedules, Sift investigations, alerting, and dashboard management. Use for development, testing, and staging workflows.

Capabilities

Metrics (Prometheus)

  • Query PromQL against test Prometheus datasources
  • List metric names, label names, label values, and metadata
  • Query histograms and percentiles

Logs (Loki)

  • Execute LogQL queries for test log retrieval
  • List log label names and values
  • Query log patterns and statistics
  • Stream log data with filtering and parsing

Traces (Tempo)

  • Find slow requests in test environment
  • Analyze distributed traces

Profiling (Pyroscope)

  • Fetch CPU, memory, goroutine profiles for test services
  • List profile types and label values per service

Incidents & OnCall

  • Create, list, and get incident details
  • Add timeline notes to incidents
  • List OnCall schedules, teams, users
  • Get current on-call users for a schedule

Sift Investigations

  • Create and retrieve automated investigations
  • Find error patterns in logs
  • Find slow requests across services

Alerting

  • List, get, create, update, delete alert rules
  • List contact points and notification policies
  • List alert groups from OnCall

Dashboards

  • Search, get, create, update dashboards
  • Get panel queries and dashboard summaries
  • Generate deeplinks to dashboards or panels
  • Render panel/dashboard images (PNG)
  • Create and manage annotations

Datasources

  • List, get datasources by name or UID

Key Concepts

  • Datasources: Named connections to backends (Prometheus, Loki, Tempo, Pyroscope). Always resolve UIDs via list_datasources before querying.
  • Prometheus / PromQL: Metrics backend. Use list_prometheus_metric_names before writing PromQL to ensure valid metric names.
  • Loki / LogQL: Log aggregation backend. Always call list_loki_label_names / list_loki_label_values before building LogQL queries.
  • Tempo: Distributed tracing backend. Use to find slow spans and trace request paths across services.
  • Dashboards: JSON-defined panels; use get_dashboard_summary for large dashboards to avoid token limits.

Workflow

  1. Connectivity check — call list_datasources (with limit=1) as a lightweight probe. If it fails, stop and report: "grafana-tst MCP server is unavailable. Cannot proceed."
  2. Discover datasources — resolve correct datasource UIDs using list_datasources.
  3. Discover schema — list metric names, label names/values, or log labels before querying.
  4. Query or manage — use query_prometheus, query_loki_logs, search_traces, dashboard/alert tools as appropriate.
  5. Report — structure the response as: datasource → time range → results summary → anomalies/patterns → recommended actions.

Usage Examples

Test Metrics

grafana-tst Show CPU usage for test-api service in test environment

Log Investigation

grafana-tst Search Loki logs for errors in auth service last 1 hour

Dashboard Editing

grafana-tst Add a new panel to the test environment overview dashboard

Alert Testing

grafana-tst Create a test alert rule for high memory usage

Trace Analysis

grafana-tst Find slow requests for checkout service in test environment

Best Practices

  • Always call list_datasources first to get datasource UIDs before any query
  • Always call list_prometheus_metric_names before writing PromQL
  • Always call list_loki_label_names / list_loki_label_values before writing LogQL
  • Use query_loki_stats to check log volume before fetching raw entries
  • Use get_dashboard_summary instead of get_dashboard_by_uid for large dashboards
  • Do NOT search the filesystem for mcp-config.json — always route through the agent file

Limitations

  • Test environment only — data does not reflect production
  • Different data retention policies than production
  • Write operations (create/update alerts, incidents) require appropriate permissions
  • Image rendering requires Grafana Image Renderer service

Environment Isolation

CRITICAL: Never use grafana-tst and grafana-prd in the same request. Choose only one environment per query.

相关技能

寻找 grafana-tst 的替代方案 (Alternative) 或可搭配使用的同类 community Skill?探索以下相关开源技能。

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