agentmods.dev

dashboards

dashboards is a skill for Claude Code, Codex from xobotyi/cc-foundry. It costs 84 tokens per session (4,783 once invoked), scanned A, original, MIT.

A guide to building Grafana dashboards, which are visual pages that display data from connected sources.

In plain words
What is it for?
It covers panels, thresholds, value mappings, transformations, variables, annotations, links, and dashboard JSON.
Why use it?
It helps turn data queries into readable, reusable dashboards with controls, formatting, and navigation.

Skill for Claude CodeCodex

Part of the grafana plugin — 7 skills shipped together

not rated 20 2d ago A scan 84 tokens original MIT
View the source file xobotyi/cc-foundry
Install

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.

agentmods
npx agentmods add skills/xobotyi/cc-foundry/dashboards
Any agent
npx skills add xobotyi/cc-foundry --skill dashboards
Clone the repo
git clone --depth 1 https://github.com/xobotyi/cc-foundry

Made for: Claude Code, Codex.

Or install grafana, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for dashboards

README.md
[![agentmods](https://agentmods.dev/badge/skills/xobotyi/cc-foundry/dashboards.svg)](https://agentmods.dev/skills/xobotyi/cc-foundry/dashboards)
Your own site
<a href="https://agentmods.dev/skills/xobotyi/cc-foundry/dashboards"><img src="https://agentmods.dev/badge/skills/xobotyi/cc-foundry/dashboards.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00084 $0.04783
Opus 5 $0.00042 $0.02391
Sonnet 5 $0.00017 $0.00957
Haiku 4.5 $0.00008 $0.00478

Measured 5d ago against content hash b3722c395c0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dashboards 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.

plugins/grafana/skills/dashboards/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grafana Dashboards

Dashboards are JSON: panels on a 24-column grid, fed by data-source queries, shaped by client-side transformations, styled by standard options and overrides, parameterized by template variables, connected through annotations and links. Data shape drives the visualization; variables make dashboards reusable; links carry context across navigation.

Scope

  • In scope: dashboard JSON (Classic and V2 schemas), panel selection and configuration, standard options, thresholds, value mappings, field overrides, transformations, all variable types, repeating panels/rows/tabs, annotations, dashboard/panel/data links, library panels, version history, panel editor and inspector.
  • Out of scope:
    • Data source query languages — promql, logsql, metricsql are sibling skills. This skill governs how queries wire into panels, not query syntax.
    • Grafana Alerting — alert rules, contact points, notification policies belong to the alerting sibling skill. Panel-attached alert rules and the panel editor's Alert tab are integration points only.
    • Provisioning, file-based dashboards, dashboards-as-code tooling — Terraform, Grizzly, Foundation SDK, Helm charts, provisioning/dashboards/*.yaml belong to the provisioning sibling skill. This skill covers the JSON those tools emit.

References

  • Dashboard JSON model (Classic + V2) — [${CLAUDE_SKILL_DIR}/references/json-model.md] Top-level fields, panel object structure, gridPos, timepicker/templating/annotations blocks, library panel JSON shape, V2 Resource kinds, schema versioning, direct JSON edit mechanics.
  • Panels and visualizations — [${CLAUDE_SKILL_DIR}/references/panels.md] Visualization-selection rules, panel-type catalog with type IDs, panel editor and inspector structure, library panel lifecycle, panel styles.
  • Panel deep dives (time series, stat, table) — [${CLAUDE_SKILL_DIR}/references/panel-deep-dives.md] Per-panel configuration: time-series graph styles (line width, fill opacity, gradient mode, interpolation), axis placement, legend, tooltip, special overrides (Transform, Fill below to); stat value options, text modes, color and graph modes; table cell types, column filtering, sorting, tooltip-from-field, footer calculations.
  • Panel options — [${CLAUDE_SKILL_DIR}/references/panel-options.md] Standard options (unit, min/max, decimals, color scheme, display name), thresholds, value mappings, field overrides, override precedence, display-name expressions.
  • Variables — [${CLAUDE_SKILL_DIR}/references/variables.md] All variable types, syntax, format options, selection options, multi-value interpolation, multi-property variables, chained variables, regex filtering, global built-ins, URL sync, repeating panels/rows/tabs.
  • Transformations — [${CLAUDE_SKILL_DIR}/references/transformations.md] Full catalog grouped by purpose (adding fields, filtering, reshaping, grouping, histograms, time-series modeling), common patterns, debugging mechanics.
  • Annotations and links — [${CLAUDE_SKILL_DIR}/references/annotations-links.md] Native annotations, annotation queries, time regions, dashboard/panel/data links, data link variables, cross-dashboard navigation patterns.
  • JSON surgery — [${CLAUDE_SKILL_DIR}/references/json-surgery.md] Verified jq recipes for dashboard files: structure/panel/variable mapping, targeted mutation, extract → edit → splice, add/delete panels, row-nesting traversal, validation, V2 element access, gcx/mcp-grafana handoff for live instances.

Read the full file on GitHub · 325 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 5d ago First seen · 325 lines · 84 tokens per session scan A b3722c395c0a

Subscribe to this mod's changes

dashboards is a skill published in the GitHub repository xobotyi/cc-foundry (20 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 4,783 once invoked, about $0.0004 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.

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