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/map-visualizationnpx skills add Day1Labs/OpenAva --skill map-visualizationgit 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 | $0.00024 | $0.01580 |
| Opus 5 | $0.00012 | $0.00790 |
| Sonnet 5 | $0.00005 | $0.00316 |
| Haiku 4.5 | $0.00002 | $0.00158 |
Grade A, and why
map-visualization 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map Visualization
Use this skill when the user asks to:
- Show locations on a map with markers.
- Visualize a route or path between points.
- Outline an area or boundary on a map.
- Combine markers, routes, and regions in one map.
- Turn structured location data into a rendered map block.
This skill outputs map markdown for the in-app message renderer (the chat message list UI) using fenced code blocks:
```map
{ ...json... }
```
Core Rules
- Always output valid JSON inside
```mapblocks. - Keep numeric fields as numbers, not strings.
- Use
latandlonfor every coordinate. - Keep each map focused on one spatial question.
- If data is incomplete or ambiguous, state assumptions briefly before the map.
Runtime Target
- Target renderer: any chat/message renderer that supports
```mapfenced blocks. - Expected format: fenced code block with language tag
mapand a JSON object. - If unsure, still output the exact
```map + JSONstructure.
Supported Fields
titleheightcenterspanmarkerspolylinespolygons
JSON Schema
{
"title": "SF Delivery Route",
"height": 260,
"center": { "lat": 37.7749, "lon": -122.4194 },
"span": 0.05,
"markers": [
{
"lat": 37.7749,
"lon": -122.4194,
"title": "Warehouse",
"tint": "blue"
},
{
"lat": 37.7849,
"lon": -122.4094,
"title": "Dropoff",
"tint": "#FF5A36"
}
],
"polylines": [
{
"coordinates": [
{ "lat": 37.7749, "lon": -122.4194 },
{ "lat": 37.7798, "lon": -122.4140 },
{ "lat": 37.7849, "lon": -122.4094 }
],
"color": "blue"
}
],
"polygons": [
{
"coordinates": [
{ "lat": 37.7700, "lon": -122.4300 },
{ "lat": 37.7800, "lon": -122.4300 },
{ "lat": 37.7800, "lon": -122.4100 },
{ "lat": 37.7700, "lon": -122.4100 }
],
"fillColor": "#22AA66",
"strokeColor": "green"
}
]
}
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 · 240 lines · 24 tokens per session scan A 66698e842d75
map-visualization is a skill published in the GitHub repository Day1Labs/OpenAva (10 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,580 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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