Agent skill

Grafana Observability

by automateyournetwork in automateyournetwork/netclaw

Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools).

Apache-2.0Auto-check: notesDevOps & Cloud

Install Grafana Observability

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/grafana-observability .claude/skills/grafana-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .claude/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/grafana-observability .agents/skills/grafana-observability && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .agents/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/grafana-observability .cursor/skills/grafana-observability && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .cursor/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/grafana-observability

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/grafana-observability .gemini/skills/grafana-observability && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .gemini/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/grafana-observability .github/skills/grafana-observability && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .github/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill grafana-observability -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw grafana-observability --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/grafana-observability .opencode/skills/grafana-observability && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "grafana-observability" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/grafana-observability into .opencode/skills/grafana-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grafana-observability", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: grafana-observability
GitHub stars: 676
Token cost: ~2.7k tokens
SKILL.md length: 966 words
Files: 1
Skills in repo: 120
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools).

Works in 7 steps: Find dashboards: search_dashboards with… → Dashboard overview:… → Query metrics: query_prometheus with… → …
Querying Grafana dashboards
SKILL.md covers MCP Server, How to Run, Environment Variables and Key Tool Categories, plus 8 more sections
Calls uvx; needs GRAFANA_SERVICE_ACCOUNT_TOKEN and GRAFANA_PASSWORD

What it does

Grafana Observability is an agent skill from automateyournetwork/netclaw. Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools). Use when querying Grafana dashboards, searching Loki logs for syslog events, investigating firing alerts, or checking who is on call. For a direct PromQL query with no Grafana dashboard/panel/Loki/OnCall context needed, or when Grafana isn't configured, use prometheus-monitoring instead.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Monitoring and alerting and Incident response. It works with Grafana, Prometheus and Model Context Protocol. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.

When your agent uses it

Querying Grafana dashboards
Searching Loki logs for syslog events
Investigating firing alerts
Checking who is on call

Example prompts

“/grafana-observability”

Requirements

A credential in GRAFANA_SERVICE_ACCOUNT_TOKEN

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

Find dashboards: search_dashboards with keyword (e.g., "network", "interface", "BGP")
Dashboard overview: get_dashboard_summary for panel list without full JSON
Query metrics: query_prometheus with PromQL for specific metrics
Check alerts: list_alert_rules to see active alerting thresholds
Search logs: query_loki_logs for syslog or SNMP trap data
Report: Metrics summary with alert status and log correlation
GAIT: Record all queries in audit trail

What it can do on your machine

Read from SKILL.md and the folder at commit aa90e7d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- uvx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- GRAFANA_SERVICE_ACCOUNT_TOKEN
- GRAFANA_PASSWORD
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Grafana Observability loads about 2.7k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 966 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~122
When it runs · the whole SKILL.md, loaded when a task matches: ~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:232

A_SERVICE_ACCOUNT_TOKEN` in `~/.openclaw/.env`. Verify service account has Editor role or required RBAC permissions.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 966 words, ~2,714 tokens.

Download SKILL.mdSave it as .claude/skills/grafana-observability/SKILL.md (or your agent's skills folder).

name: grafana-observability
description: Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools). Use when querying Grafana dashboards, searching Loki logs for syslog events, investigating firing alerts, or checking who is on call. For a direct PromQL query with no Grafana dashboard/panel/Loki/OnCall context needed, or when Grafana isn't configured, use `prometheus-monitoring` instead.
license: Apache-2.0
user-invocable: true

Grafana Observability

MCP Server

Property	Value
Source	grafana/mcp-grafana
Transport	stdio (default), SSE, or streamable-http
Language	Go (runs via `uvx mcp-grafana`)
Tools	75+ (dashboards, Prometheus, Loki, alerting, incidents, OnCall, annotations, admin)
Auth	Service account token (preferred) or username/password
Requires	Grafana 9.0+, service account with Editor role or granular RBAC

How to Run

bash

# stdio mode (default — used by NetClaw)
uvx mcp-grafana

# Read-only mode (prevents dashboard/alert modifications)
uvx mcp-grafana --disable-write

Environment Variables

Variable	Required	Example	Description
`GRAFANA_URL`	Yes	`http://grafana.example.com:3000`	Grafana instance URL
`GRAFANA_SERVICE_ACCOUNT_TOKEN`	Yes*	`glsa_abc123...`	Service account token (preferred auth)
`GRAFANA_USERNAME`	Alt	`admin`	Basic auth username (alternative to token)
`GRAFANA_PASSWORD`	Alt	`changeme`	Basic auth password
`GRAFANA_ORG_ID`	No	`1`	Organization ID for multi-org setups

*Either service account token or username/password required.

Key Tool Categories

Dashboard Operations

Tool	What It Does
`search_dashboards`	Find dashboards by title or metadata
`get_dashboard_summary`	Lightweight overview (context-efficient — use this first)
`get_dashboard_by_uid`	Full dashboard JSON (large — use sparingly)
`get_dashboard_property`	Extract specific fields via JSONPath
`get_dashboard_panel_queries`	Extract panel query details
`update_dashboard`	Create or modify dashboards
`patch_dashboard`	Targeted modifications without full JSON replacement

Prometheus (PromQL)

Tool	What It Does
`query_prometheus`	Execute instant or range PromQL queries
`list_prometheus_metric_names`	Discover available metrics
`list_prometheus_label_names`	List labels matching selectors
`list_prometheus_label_values`	Retrieve values for a specific label
`query_prometheus_histogram`	Calculate percentiles (p50, p90, p95, p99)
`list_prometheus_metric_metadata`	Metric type, help text, unit

Loki (LogQL)

Tool	What It Does
`query_loki_logs`	Execute LogQL queries against log streams
`list_loki_label_names`	Discover available log labels
`list_loki_label_values`	List values for a specific log label
`query_loki_stats`	Stream statistics (volume, rate)
`query_loki_patterns`	Detect log structure patterns

Alerting

Tool	What It Does
`list_alert_rules`	View all Grafana and datasource-managed alert rules
`get_alert_rule_by_uid`	Retrieve specific alert rule details
`create_alert_rule`	Create new alert rule
`update_alert_rule`	Modify existing alert rule
`delete_alert_rule`	Remove alert rule
`list_contact_points`	View notification endpoints (email, Slack, PagerDuty, etc.)

Incident Management

Tool	What It Does
`list_incidents`	View Grafana Incidents with filtering
`get_incident`	Single incident details
`create_incident`	Create a new incident
`add_activity_to_incident`	Add timeline entry to incident

OnCall

Tool	What It Does
`list_oncall_schedules`	View on-call rotation schedules
`get_oncall_shift`	Shift details
`get_current_oncall_users`	Who is on call right now
`list_alert_groups`	OnCall alert groups with filtering

Annotations & Rendering

Tool	What It Does
`get_annotations`	Query annotations with time/tag filters
`create_annotation`	Add annotation to dashboard/panel
`get_panel_image`	Render a panel or dashboard as PNG image
`generate_deeplink`	Create accurate Grafana URLs for sharing

Investigation (Sift)

Tool	What It Does
`list_sift_investigations`	List automated investigations
`get_sift_investigation`	Investigation details
`find_error_pattern_logs`	Detect elevated error patterns in logs
`find_slow_requests`	Identify slow requests via Tempo traces

Workflow: Network Infrastructure Monitoring

When checking network device metrics in Grafana:

Find dashboards: search_dashboards with keyword (e.g., "network", "interface", "BGP")
Dashboard overview: get_dashboard_summary for panel list without full JSON
Query metrics: query_prometheus with PromQL for specific metrics:
- Interface traffic: rate(ifHCInOctets{instance="router1"}[5m]) * 8
- BGP peer state: bgp_peer_state{peer="10.1.1.2"}
- CPU utilization: device_cpu_utilization{device="core-rtr-01"}
- Interface errors: increase(ifInErrors{device=~".*"}[1h])
Check alerts: list_alert_rules to see active alerting thresholds
Search logs: query_loki_logs for syslog or SNMP trap data
Report: Metrics summary with alert status and log correlation
GAIT: Record all queries in audit trail

Example: Interface Utilization Check

search_dashboards(title="Network Interfaces")
get_dashboard_summary(uid="abc123")
query_prometheus(expr="rate(ifHCInOctets{device='core-rtr-01'}[5m]) * 8", time_range="1h")
query_prometheus(expr="rate(ifHCOutOctets{device='core-rtr-01'}[5m]) * 8", time_range="1h")
list_alert_rules(folder="Network")

Workflow: Alert Investigation

When investigating Grafana alerts:

List alerts: list_alert_rules — find firing or pending rules
Alert details: get_alert_rule_by_uid — thresholds, conditions, datasource
Query metrics: query_prometheus — check the metric that triggered the alert
Search logs: query_loki_logs — correlate with log events around alert time
Check incidents: list_incidents — is this already tracked?
Contact points: list_contact_points — verify notification routes
Report: Alert analysis with root cause and metric evidence

Show full SKILL.md (415 more words)Show less

Workflow: Incident Response

When responding to a Grafana incident:

List incidents: list_incidents — find open incidents
Incident details: get_incident — timeline, severity, labels
OnCall: get_current_oncall_users — who should be notified
Correlate metrics: query_prometheus — check affected service metrics
Correlate logs: query_loki_logs — find error patterns around incident time
Investigate: find_error_pattern_logs — automated error pattern detection
Update incident: add_activity_to_incident — add findings to timeline
Annotate: create_annotation — mark event on relevant dashboards

Workflow: Log Analysis

When investigating network logs stored in Loki:

Discover labels: list_loki_label_names — find available labels (host, severity, facility)
Label values: list_loki_label_values — enumerate hosts, severity levels
Query logs: query_loki_logs with LogQL:
- By device: {host="core-rtr-01"}
- By severity: {host="core-rtr-01"} |= "error"
- Pattern match: {job="syslog"} |~ "BGP|OSPF"
Patterns: query_loki_patterns — detect recurring log structures
Stats: query_loki_stats — log volume and rate analysis

Integration with Other Skills

Skill	Integration
pyats-health-check	Cross-reference pyATS health data with Grafana metrics and dashboards
pyats-routing	Correlate OSPF/BGP state changes with Grafana metric timelines
gait-session-tracking	Record all Grafana queries and findings in GAIT audit trail
slack-network-alerts	Grafana alerts fed through Slack + NetClaw for automated investigation
servicenow-change-workflow	Annotate Grafana dashboards during change windows; correlate incidents with CRs
te-network-monitoring	Pair ThousandEyes path data with Grafana infrastructure metrics
aws-cloud-monitoring	Compare Grafana dashboards with CloudWatch data for hybrid visibility
markmap-viz	Visualize Grafana alert rule hierarchies as mind maps

Context Window Management

Grafana dashboards can be large JSON documents. Use these strategies:

Always start with get_dashboard_summary — lightweight overview, not full JSON
Use get_dashboard_property with JSONPath for specific fields
Avoid get_dashboard_by_uid unless you need the complete dashboard definition
Use get_dashboard_panel_queries to extract just the query definitions

Important Rules

Prefer read-only operations — use search_dashboards, get_dashboard_summary, query_prometheus, query_loki_logs, list_alert_rules before any write operations
Dashboard modifications require ServiceNow CR — unless in lab/dev Grafana instance
Alert rule changes require approval — creating/updating/deleting alert rules affects production monitoring
Token-efficient queries — use get_dashboard_summary over get_dashboard_by_uid, use time ranges to limit Prometheus/Loki result size
GAIT audit mandatory — record all Grafana queries, dashboard modifications, alert changes, and incident updates
No secrets in queries — never embed credentials or sensitive data in PromQL/LogQL expressions

Error Handling

Auth fails (401/403): Check GRAFANA_URL and GRAFANA_SERVICE_ACCOUNT_TOKEN in ~/.openclaw/.env. Verify service account has Editor role or required RBAC permissions.
Datasource not found: Use list_datasources to discover available datasource UIDs and names.
PromQL/LogQL errors: Use list_prometheus_metric_names or list_loki_label_names to discover valid metric/label names before querying.
Dashboard not found: Use search_dashboards to find dashboards by title before using UID-based tools.
Rate limiting: Grafana may rate-limit API requests; space out large query batches.

Files

Just SKILL.md in workspace/skills/grafana-observability of automateyournetwork/netclaw.

Open the folder on GitHubat commit aa90e7d

Compare with similar skills

Grafana Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Grafana Observability compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Grafana Observability this skillautomateyournetwork/netclaw	676	—	~2.7k	Automated safety check: Notes	Apache-2.0	yesterday
Syncmetapawurb/hotpath-rs	1.9k	—	~1.2k	Automated safety check: Notes	MIT	today
Alerting Irmgrafana/skills	282	1 repos	~1.9k	Automated safety check: Pass	Apache-2.0	2 days ago
Archestra Dev Observabilityarchestra-ai/archestra	4.4k	—	~1.2k	Automated safety check: Pass	Custom licence	today
Frontmcp Observabilityagentfront/frontmcp	146	—	~4.6k	Automated safety check: Pass	Apache-2.0	today
Live Debugmacro-inc/macro	4.6k	—	~2.4k	Automated safety check: Notes	AGPL-3.0	today

Similar skills

Syncmeta
pawurb/hotpath-rs
Sync changes from the hotpath, hotpath-macros and hotpath-drain crates to their meta counterparts (hotpath-meta, hotpath-macros-meta and hotpath-drain-meta).
1.9k GitHub stars~1.2k tokensUpdated today
DevOps & CloudAuto-check: notes
Alerting Irm
grafana/skills
Official
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook)…
282 GitHub starsUsed in 1 repo~1.9k tokens
DevOps & CloudAuto-check passed
Archestra Dev Observability
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
4.4k GitHub stars~1.2k tokensUpdated today
DevOps & CloudAuto-check passed
Frontmcp Observability
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
146 GitHub stars~4.6k tokensUpdated today
DevOps & CloudAuto-check passed
Live Debug
macro-inc/macro
Debug the running local stack with traces, logs, and a shared headless browser.
4.6k GitHub stars~2.4k tokensUpdated today
DevOps & CloudAuto-check: notes
Analyzing Experiment Precompute Canary
PostHog/posthog
Official
Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report.
40k GitHub stars~3.5k tokensUpdated yesterday
DevOps & CloudAuto-check passed

Questions about Grafana Observability

What does Grafana Observability do?

Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools). Grafana Observability is an agent skill from automateyournetwork/netclaw. Grafana observability platform — dashboards, Prometheus PromQL, Loki LogQL, alerting, incidents, OnCall schedules, annotations, datasource queries, panel rendering (75+ tools).

When should I use Grafana Observability?

Grafana Observability fits situations like: querying Grafana dashboards; searching Loki logs for syslog events; investigating firing alerts; checking who is on call.

How do I install Grafana Observability in Claude Code?

Run `npx skills add automateyournetwork/netclaw --skill grafana-observability -a claude-code`. Or copy the skill folder (workspace/skills/grafana-observability in automateyournetwork/netclaw) into .claude/skills/grafana-observability in your project. Claude Code loads it when a task matches its description.

How do I install Grafana Observability in Codex?

Run `npx skills add automateyournetwork/netclaw --skill grafana-observability -a codex`. Or copy the skill folder (workspace/skills/grafana-observability in automateyournetwork/netclaw) into .agents/skills/grafana-observability in your project. Codex loads it when a task matches its description.

Can I use Grafana Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill grafana-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grafana-observability, .gemini/skills/grafana-observability, .github/skills/grafana-observability and .opencode/skills/grafana-observability in your project.

What does Grafana Observability need to run?

Going by SKILL.md and its folder, Grafana Observability needs the command-line tools its instructions call (uvx) and credentials named GRAFANA_SERVICE_ACCOUNT_TOKEN and GRAFANA_PASSWORD. Our summary lists: A credential in GRAFANA_SERVICE_ACCOUNT_TOKEN.

Does Grafana Observability access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Grafana Observability safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Grafana Observability use?

Grafana Observability is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grafana Observability use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Grafana Observability?

Skills that share tags, products or a category with Grafana Observability: Syncmeta (pawurb/hotpath-rs, 1.9k stars), Alerting Irm (grafana/skills, 282 stars), Archestra Dev Observability (archestra-ai/archestra, 4.4k stars) and Frontmcp Observability (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grafana Observability?

automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 9, 2026.

Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Grafana Observability

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Grafana Observability

MCP Server

How to Run

Environment Variables

Key Tool Categories

Dashboard Operations

Prometheus (PromQL)

Loki (LogQL)

Alerting

Incident Management

OnCall

Annotations & Rendering

Investigation (Sift)

Workflow: Network Infrastructure Monitoring

Example: Interface Utilization Check

Workflow: Alert Investigation

Workflow: Incident Response

Workflow: Log Analysis

Integration with Other Skills

Context Window Management

Important Rules

Error Handling

Files

Compare with similar skills

Similar skills

More from automateyournetwork/netclaw

Related

Questions about Grafana Observability