data-charting

A formatting guide that turns tables or other structured data into chart instructions for a chat interface.

In plain words
What is it for?
Creating line, area, bar, point, rule, rectangle, and pie charts from JSON or tabular data.
Why use it?
It removes the need to decide how to represent trends, comparisons, proportions, or thresholds by hand.

Skill for Claude CodeCodex

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/day1labs/openava/data-charting
Any agent
npx skills add Day1Labs/OpenAva --skill data-charting
Clone the repo
git clone --depth 1 https://github.com/Day1Labs/OpenAva

Made for: Claude Code, Codex.

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 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 $0.00021 $0.00987
Opus 5 $0.00010 $0.00494
Sonnet 5 $0.00004 $0.00197
Haiku 4.5 $0.00002 $0.00099

Measured 2d ago against content hash 1d02a3c876e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-charting 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 2d 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.

OpenAva/Runtime/Agent/Skills/data-charting/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Charting

Use this skill when the user asks to:

  • Visualize metrics, trends, distributions, or proportions.
  • Turn tabular/JSON data into charts.
  • Compare multiple series over time or categories.
  • Show thresholds, ranges, or baseline rules in charts.

This skill outputs chart markdown for the in-app message renderer (the chat message list UI) using fenced code blocks:

```chart
{ ...json... }
```

Core Rules

  • Always output valid JSON inside ```chart blocks.
  • Keep numeric fields as numbers, not strings.
  • Keep each chart focused on one analytical question.
  • Prefer concise titles and meaningful series names.
  • If data is missing or ambiguous, state assumptions briefly before the chart.

Runtime Target

  • Target renderer: any chat/message renderer that supports ```chart fenced blocks.
  • Expected format: fenced code block with language tag chart and a JSON object.
  • If unsure, still output the exact ```chart + JSON structure.

Supported Chart Types

Set kind to one of:

  • line
  • area
  • bar
  • point
  • rule
  • rectangle
  • pie

JSON Schemas

1) line / area / bar / point

{
  "kind": "line",
  "title": "Weekly Visits",
  "height": 240,
  "line": {
    "x": ["Mon", "Tue", "Wed", "Thu", "Fri"],
    "series": [
      { "name": "PV", "y": [120, 180, 160, 220, 260] },
      { "name": "UV", "y": [80, 110, 105, 130, 150] }
    ]
  }
}

Notes:

  • For area, replace line with area.
  • For bar, replace line with bar.
  • For point, replace line with point.
  • Every series[i].y.count must equal x.count.

2) pie

{
  "kind": "pie",
  "title": "Traffic Source Share",
  "height": 240,
  "pie": {
    "items": [
      { "name": "Organic", "value": 45 },
      { "name": "Ads", "value": 35 },
      { "name": "Referral", "value": 20 }
    ]
  }
}

3) rule

{
  "kind": "rule",
  "title": "Alert Thresholds",
  "height": 220,
  "rule": {
    "yValues": [100, 180, 250]
  }
}

Read the full file on GitHub · 161 lines

Files

What ships with it

1 file 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. 2d ago First seen · 161 lines · 21 tokens per session scan A 1d02a3c876e1

Subscribe to this mod's changes

data-charting is a skill published in the GitHub repository Day1Labs/OpenAva (10 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 987 once invoked, about $0.0001 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 2026-08-31.

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