Grafana Skills is a collection of agent skills for working with Grafana, Prometheus, Loki, Tempo, Pyroscope, k6, and the broader LGTM observability stack. Developers and operators use the skills with coding agents that support the Agent Skills standard. The catalogue entries are the repository’s own skills, plugins, and instructions for using these observability tools.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/grafana/skills/agents-mdgit clone --depth 1 https://github.com/grafana/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/grafana/skills/agents-md)<a href="https://agentmods.dev/instructions/grafana/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/grafana/skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01346 | $0.01346 |
| Opus 5 | $0.00673 | $0.00673 |
| Sonnet 5 | $0.00269 | $0.00269 |
| Haiku 4.5 | $0.00135 | $0.00135 |
Grade A, and why
skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI agents working with this repository.
Repository Purpose
This is the Grafana public skills repository — a plugin marketplace providing AI-assisted development skills for Claude Code, Cursor, and other tools supporting the Agent Skills standard.
Skills cover Grafana, Prometheus, Loki, Tempo, Pyroscope, k6, and the broader LGTM observability stack.
Structure Overview
.claude-plugin/marketplace.json # Claude Code marketplace manifest
.cursor-plugin/marketplace.json # Cursor marketplace manifest (identical content)
.agents-plugin/marketplace.json # Codex marketplace manifest (identical content)
skills/ # All skills, grouped by plugin
<plugin-name>/
<skill-name>/
SKILL.md # Required: skill definition
scripts/ # Optional: executable helper scripts
references/ # Optional: reference docs loaded on demand
assets/ # Optional: templates, schemas, data files
template/SKILL.md # Starter template for contributors
scripts/lint-skills.sh # Validates SKILL.md files
Key architecture:
- Single source of truth in
skills/— Claude Code, Cursor, and Codex all reference the same content - Three marketplace manifests (
.claude-plugin/,.cursor-plugin/,.agents-plugin/) with identical content skills/is the conventional directory used by all major agent tools
How Skills Work
Skills are folders of instructions, scripts, and resources that agents load dynamically when relevant.
- The agent reads the skill's
descriptionfrontmatter - When the context matches, the agent loads the full
SKILL.md - Supporting files in
scripts/andreferences/are loaded on demand
Invocation Modes
Two frontmatter fields control who can invoke a skill:
disable-model-invocation (default: false):
false: Agent may auto-load when context matchestrue: Agent will never auto-load; only runs when user types/skill-name
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 139 lines · 1,346 tokens per session scan A aaea5dfabf19
skills AGENTS.md is an instructions file published in the GitHub repository grafana/skills (243 stars, last pushed today), licensed Apache-2.0. It adds 1,346 tokens to every session, about $0.0067 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.