Axiom Dashboard Builder
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
Query or explain Netdata Cloud APIs for metrics, logs, topology, flows, alerts, DynCfg, Functions and discovery; review Cloud-query recipes.
$ npx skills add netdata/netdata --skill query-netdata-cloud -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install netdata/netdata query-netdata-cloud --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .claude/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.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/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .claude/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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 install https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloudType 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.
$ npx skills add netdata/netdata --skill query-netdata-cloud -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install netdata/netdata query-netdata-cloud --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .agents/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .agents/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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.
$ npx skills add netdata/netdata --skill query-netdata-cloud -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install netdata/netdata query-netdata-cloud --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .cursor/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .cursor/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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 https://github.com/netdata/netdata.git --path docs/netdata-ai/skills/query-netdata-cloud--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add netdata/netdata --skill query-netdata-cloud -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install netdata/netdata query-netdata-cloud --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .gemini/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.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/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .gemini/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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.
$ gh skill install netdata/netdata query-netdata-cloudInstalls 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).
$ npx skills add netdata/netdata --skill query-netdata-cloud -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .github/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.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/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .github/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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.
$ npx skills add netdata/netdata --skill query-netdata-cloud -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install netdata/netdata query-netdata-cloud --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netdata/netdata.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/netdata-ai/skills/query-netdata-cloud .opencode/skills/query-netdata-cloud && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "query-netdata-cloud" agent skill from https://github.com/netdata/netdata/tree/master/docs/netdata-ai/skills/query-netdata-cloud into .opencode/skills/query-netdata-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "query-netdata-cloud", 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.
query-netdata-cloudQuery or explain Netdata Cloud APIs for metrics, logs, topology, flows, alerts, DynCfg, Functions and discovery; review Cloud-query recipes.
Query Netdata Cloud is an agent skill from netdata/netdata. Query or explain Netdata Cloud APIs for metrics, logs, topology, flows, alerts, DynCfg, Functions and discovery; review Cloud-query recipes. Use query-netdata-agents for direct Agent access.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files (for example `access-and-discovery.md`, `how-tos/INDEX.md` and `how-tos/compare-explicit-and-room-wide-node-scope.md`).
It sits in DevOps & Cloud. The repository describes itself as: The fastest path to AI-powered full stack observability, even for lean teams. The licence is GPL-3.0.
Read from SKILL.md and the folder at commit 9fe30d9. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitjqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
NETDATA_CLOUD_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Query Netdata Cloud loads about 2k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 839 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
`.env` loading. Source the helper and load configuration only for authorized execution: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.
The full file from netdata/netdata at commit 9fe30d9, republished under its GPL-3.0 licence (© netdata). 839 words, ~1,978 tokens.
.claude/skills/query-netdata-cloud/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Use this skill for Cloud REST queries and for reviewing or explaining those queries. Load the guide for the requested domain; the sibling Agent skill owns direct access and the shared query helpers.
For an execution recipe, provide a complete runnable wrapper invocation with locally supplied inputs and the response
fields needed for the question. For discovery, use the endpoint appropriate to the missing identifier. Domain
requirements remain in their guides; metric queries MUST set scope.contexts as explained in the metrics guide.
| Domain | Guide |
|---|---|
| Time-series metrics | query-metrics.md |
Logs (systemd-journal, windows-events, macos-logs, otel-logs) | query-logs.md |
Topology Functions (topology:snmp, ...) | query-topology.md |
Network-flow Functions (flows:netflow -- NetFlow / sFlow / IPFIX) | query-flows.md |
| Alerts and alert transitions | query-alerts.md |
| Dynamic Configuration (DynCfg) | query-dyncfg.md |
| Generic Function invocation (table snapshots + protocol taxonomy) | query-functions.md |
| Nodes (per-room enumeration with full metadata) | query-nodes.md |
| Rooms (per-space enumeration) | query-rooms.md |
| Members (per-space user enumeration) | query-members.md |
| Event feed (audit + activity log) | query-feed.md |
| Operational how-tos (live catalog) | how-tos/INDEX.md |
Explanation and saved-data review need no credentials. Executable recipes require Bash, Git, curl, jq and a checkout
containing the shared helper, plus access to the chosen Cloud host. Configure NETDATA_CLOUD_TOKEN and
NETDATA_CLOUD_HOSTNAME locally; never request credential values in conversation. Use identifier placeholders or
local discovery for space, room and node IDs. Only endpoints that include those IDs require them.
Access And Discovery covers token setup, identifier lookup and error diagnosis.
Helper configuration owns the environment keys and trusted
.env loading. Source the helper and load configuration only for authorized execution:
source "$(git rev-parse --show-toplevel)/docs/netdata-ai/skills/query-netdata-agents/scripts/_lib.sh"
agents_load_envCredential-bearing requests MUST use agents_query_cloud, agents_query_agent or agents_call_function from the
shared helper. Do not construct raw bearer-auth curl examples or print credentials. Ordinary local processing and
unauthenticated probes MAY use ordinary commands when they capture or suppress sensitive responses.
Shared Safe Execution owns credential and response handling.
The wrappers mask known request-auth values in their command log; they forward responses unchanged and do not
scrub arbitrary request-body fields. Keep sensitive bodies in private local files (the body argument accepts @file)
and capture or project sensitive responses before display. Do not display credential-issuing endpoint output through
these wrappers. Avoid shell tracing around credentials. Use the minimum response fields needed for the task.
For JSON bodies, use a quoted heredoc in command substitution, or a private payload file. The helper enables
set -e; an empty-delimiter read returns failure at EOF and stops the recipe. For example, after setup:
SPACE="YOUR_SPACE_ID"
ROOM="YOUR_ROOM_ID"
PAYLOAD="$(cat <<'JSON'
{}
JSON
)"
agents_query_cloud POST \
"/api/v3/spaces/$SPACE/rooms/$ROOM/nodes" "$PAYLOAD" \
| jq '{node_count: (.nodes | length)}'Cloud payloads can contain customer identifiers, hostnames, labels, addresses and secrets. Raw responses MUST NOT go
into committed files; token, bearer and session values MUST NOT be pasted into conversation or shared artifacts.
Repository workflows capture raw output privately under <repo>/.local/audits/ and report sanitized summaries.
Repository contributors follow .agents/sensitive-data-discipline.md; outside a checkout apply the same redaction to
shared artifacts. The public helpers' exact interfaces live in
Helper Interfaces.
Open these when the selected task needs the underlying protocol or schema. They describe Agent payloads and DynCfg, not Cloud-server permission mappings.
| Owner | Subject |
|---|---|
<repo>/src/plugins.d/FUNCTION_UI_REFERENCE.md | Function envelopes, tables, logs, facets, pagination, PLAY and errors |
<repo>/src/plugins.d/FUNCTION_UI_SCHEMA.json | Function response schema |
<repo>/src/plugins.d/FUNCTION_TOPOLOGY_SCHEMA.json | Topology response schema |
<repo>/src/plugins.d/DYNCFG.md | External-plugin DynCfg protocol |
<repo>/src/daemon/dyncfg/README.md | Internal DynCfg APIs and lifecycle |
<repo-root>/.local/audits/<subject>/followups.md, reusing this skill's
audit directory when available. Outside a checkout, use an appropriate local workspace. If no writable workspace
is available, include the sanitized follow-up in the response instead.how-tos/INDEX.md consistent and report the updates.© netdata, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files in docs/netdata-ai/skills/query-netdata-cloud of netdata/netdata.
Open the folder on GitHubat commit 9fe30d9
Query Netdata Cloud 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Query Netdata Cloud this skillnetdata/netdata | 81k | — | ~2k | Automated safety check: Notes | GPL-3.0 | |
| Axiom Dashboard Builderopenclaw/clawhub | 9.5k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Axiom Cost Controlopenclaw/clawhub | 9.5k | — | ~1.7k | Automated safety check: Pass | MIT | |
| ML Pipeline ExpertJeffallan/claude-skills | 12k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Sf AI Agentforce ObservabilityJaganpro/sf-skills | 424 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Verify CI Impactgodatadriven/whirl | 205 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
Jeffallan/claude-skills
Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates.
Jaganpro/sf-skills
Agentforce session tracing extraction and analysis. An agent skill from Jaganpro/sf-skills.
godatadriven/whirl
Before committing, work out which Whirl examples need a CI run to verify changes still work, then run them after confirming with the user.
gotempsh/temps
Add Temps analytics to React applications with comprehensive tracking capabilities including page views, custom events, scroll tracking, engagement monitoring, session recording, and Web Vitals…
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
netdata/netdata
Investigate Netdata crashes, panics and fatals from agent-events captures or authorized fleet queries.
netdata/netdata
Inspect, analyze, troubleshoot, or review Codacy findings and local analyzer/API helpers.
netdata/netdata
Inspect or review Coverity Scan defects and saved CID bundles; fetch live findings or apply verified triage decisions when requested.
netdata/netdata
Inspect, review, or apply authorized triage decisions to SonarCloud issues and security hotspots; also review the Sonar helpers.
Categories
Query or explain Netdata Cloud APIs for metrics, logs, topology, flows, alerts, DynCfg, Functions and discovery; review Cloud-query recipes. Query Netdata Cloud is an agent skill from netdata/netdata. Query or explain Netdata Cloud APIs for metrics, logs, topology, flows, alerts, DynCfg, Functions and discovery; review Cloud-query recipes.
Query Netdata Cloud fits situations like: devOps & Cloud work in your project.
Run `npx skills add netdata/netdata --skill query-netdata-cloud -a claude-code`. Or copy the skill folder (docs/netdata-ai/skills/query-netdata-cloud in netdata/netdata) into .claude/skills/query-netdata-cloud in your project. Claude Code loads it when a task matches its description.
Run `npx skills add netdata/netdata --skill query-netdata-cloud -a codex`. Or copy the skill folder (docs/netdata-ai/skills/query-netdata-cloud in netdata/netdata) into .agents/skills/query-netdata-cloud in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add netdata/netdata --skill query-netdata-cloud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/query-netdata-cloud, .gemini/skills/query-netdata-cloud, .github/skills/query-netdata-cloud and .opencode/skills/query-netdata-cloud in your project.
Going by SKILL.md and its folder, Query Netdata Cloud needs the command-line tools its instructions call (git and jq) and credentials named NETDATA_CLOUD_TOKEN. Our summary lists: A credential in NETDATA_CLOUD_TOKEN.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Query Netdata Cloud is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Query Netdata Cloud: Axiom Dashboard Builder (openclaw/clawhub, 9.5k stars), Axiom Cost Control (openclaw/clawhub, 9.5k stars), ML Pipeline Expert (Jeffallan/claude-skills, 12k stars) and Sf AI Agentforce Observability (Jaganpro/sf-skills, 424 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
netdata (a GitHub organization) maintains it in netdata/netdata, which has 80,820 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 7, 2026.
Source: netdata/netdata on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.