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 skills add antvis/chart-visualization-skills --skill antv-g2-chartgit clone --depth 1 https://github.com/antvis/chart-visualization-skillsWrote 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.
[](https://agentmods.dev/skills/antvis/chart-visualization-skills/antv-g2-chart)<a href="https://agentmods.dev/skills/antvis/chart-visualization-skills/antv-g2-chart"><img src="https://agentmods.dev/badge/skills/antvis/chart-visualization-skills/antv-g2-chart/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/antvis/chart-visualization-skills/antv-g2-chart"><img src="https://agentmods.dev/badge/skills/antvis/chart-visualization-skills/antv-g2-chart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Output Handling · line 50 Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00230 | $0.03405 |
| Opus 5.5 | $0.00092 | $0.01362 |
| Sonnet 5.5 | $0.00046 | $0.00681 |
| Haiku 4.5 | $0.00023 | $0.00341 |
Grade A, and why
antv-g2-chart scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
G2 v5 Chart Visualization
Overview
G2 v5 is AntV's grammar-of-graphics charting library. It uses Spec Mode — a declarative, JSON-like configuration style. Generated examples should start from a complete spec; runtime code may later merge a local update through chart.options().
import { Chart } from '@antv/g2';
const chart = new Chart({ container: 'container', autoFit: true });
chart.options({
type: 'interval',
data: [{ genre: 'Sports', sold: 275 }],
encode: { x: 'genre', y: 'sold' },
});
chart.render();
CDN Usage
<script src="https://unpkg.com/@antv/g2@5/dist/g2.min.js"></script>
<script>
const chart = new G2.Chart({ container: 'container', autoFit: true });
chart.options({
type: 'interval',
data: [{ genre: 'Sports', sold: 275 }],
encode: { x: 'genre', y: 'sold' },
});
chart.render();
</script>
Content Retrieval Service
When using AntV G2 for data visualization, if you need to understand the concepts, usage, API, examples, and other aspects of G2 v5, you can use the provided context retrieval service. When using the skill, content is retrieved via an antv HTTP API server using GET requests.
- Host:
https://sive.antv.antgroup.com - Endpoint:
/api/v1/context/retrieve - Method:
GET - Parameters:
query,library,topK,content,maxTokens
Retrieve reference documents by query (hybrid search = FTS + vector + RRF fusion).
| Parameter | Type | Required | Description |
|---|---|---|---|
query |
string | ✅ | Search keywords, e.g. bar chart interval |
library |
string | ✅ | Library name: g2, g6, x6 |
topK |
number | Number of results to return (default: 5) | |
content |
boolean | Return full reference doc markdown (default: true) | |
maxTokens |
number | Max tokens per result (default: unlimited) |
curl "https://sive.antv.antgroup.com/api/v1/context/retrieve?query=bar+chart+stacked&library=g2"
Critical Rules
MUST: Use V5 Spec Mode ONLY
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.
- 1mo ago Changed · +19 lines 4c1d9210338a
- 1mo ago Changed · -1 lines 73e268802e83
- 1mo ago First seen · 214 lines · 230 tokens per session scan A b2491d8773ab
antv-g2-chart is a skill published in the GitHub repository antvis/chart-visualization-skills (516 stars, last pushed 1mo ago), licensed MIT. It adds 230 tokens to every session and 3,405 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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