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.
npx agentmods add skills/day1labs/openava/data-chartingnpx skills add Day1Labs/OpenAva --skill data-chartinggit clone --depth 1 https://github.com/Day1Labs/OpenAvaWhat 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.
| Model | Per session | Once 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 |
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.
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
```chartblocks. - 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
```chartfenced blocks. - Expected format: fenced code block with language tag
chartand a JSON object. - If unsure, still output the exact
```chart + JSONstructure.
Supported Chart Types
Set kind to one of:
lineareabarpointrulerectanglepie
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, replacelinewitharea. - For
bar, replacelinewithbar. - For
point, replacelinewithpoint. - Every
series[i].y.countmust equalx.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]
}
}
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.
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.
- 2d ago First seen · 161 lines · 21 tokens per session scan A 1d02a3c876e1
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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