dashboard-data

dashboard-data is a skill for Claude Code, Codex from juspay/xyne-spaces. It costs 44 tokens per session (425 once invoked), scanned A, original, Apache-2.0.

A guide for building truthful, self-contained dashboard snapshots from connected data sources or supplied datasets. A dashboard snapshot is a fixed report of selected measurements for a stated time period.

In plain words
What is it for?
It helps retrieve and validate operational data, create offline HTML dashboards with charts and summaries, and prepare consistent refreshes.
Why use it?
It prevents made-up metrics and makes each report clear about its source, timing, units, missing data, and aggregation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps retrieve and validate operational data, create offline HTML dashboards with charts and summaries, and prepare consistent refreshes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/juspay/xyne-spaces/dashboard-data
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.

Any agent
npx skills add juspay/xyne-spaces --skill dashboard-data
Clone the repo
git clone --depth 1 https://github.com/juspay/xyne-spaces

Made for: Claude Code, Codex.

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 dashboard-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/juspay/xyne-spaces/dashboard-data.svg)](https://agentmods.dev/skills/juspay/xyne-spaces/dashboard-data)
Your own site
<a href="https://agentmods.dev/skills/juspay/xyne-spaces/dashboard-data"><img src="https://agentmods.dev/badge/skills/juspay/xyne-spaces/dashboard-data.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 425 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00044 $0.00425
Opus 5 $0.00022 $0.00212
Sonnet 5 $0.00009 $0.00085
Haiku 4.5 $0.00004 $0.00042

Measured 8d ago against content hash 91ec83cfee3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

dashboard-data 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 8d 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.

apps/xyne-claw/design-skills/dashboard-data/SKILL.md · 25 lines

What it actually says

Dashboard data

Follow this order; data retrieval is a hard gate before visual composition.

  1. Identify the requested measures, dimensions, time window, timezone, and comparison period.
  2. Inspect available read-only data tools. Query the authoritative source and retain the exact query/window needed to explain the snapshot.
  3. If no suitable tool or supplied dataset is available, stop. Name the missing connection. Never invent placeholder values, convert guesses into metrics, or deliver a sample dashboard.
  4. Check basic integrity: units, aggregation level, missing intervals, duplicate series, timezone, and whether counters require rate/increase rather than raw values.
  5. Build a self-contained HTML snapshot with no runtime fetches, tokens, cookies, internal URLs, or embedded credentials.
  6. Show Data as of <timestamp with timezone>, the reporting window, and a human-readable source label. Do not expose secret query parameters.
  7. Use stable card order, chart domains, colors, labels, and DOM structure across refreshes. A scheduled refresh should change the data, not randomly redesign the dashboard.
  8. Present unavailable metrics as unavailable; do not coerce missing data to zero.
  9. QA desktop and mobile layouts, chart legibility, empty/error states, console output, and network requests before delivery.

If the user explicitly asks for a recurring refresh, schedule the same complete /dashboard brief only after the first verified snapshot succeeds. Preserve the original conversation target. Never schedule implicitly, and never let a scheduled dashboard schedule another run.

Prefer KPI cards only for decision-driving headline values. Use lines for trends, bars for comparisons, tables for exact lookup, and annotations for threshold crossings. Include a concise textual takeaway adjacent to each complex chart.

Treat the artifact as a verified snapshot. The delivered HTML must remain useful offline and must never contact the underlying data source when opened or shared.

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. 8d ago First seen · 25 lines · 44 tokens per session scan A 91ec83cfee3a

Subscribe to this mod's changes

dashboard-data is a skill published in the GitHub repository juspay/xyne-spaces (143 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 425 once invoked, about $0.0002 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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