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 preset-io/agent-skills --skill preset-mcp-visualizationgit clone --depth 1 https://github.com/preset-io/agent-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/preset-io/agent-skills/preset-mcp-visualization)<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-visualization"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-visualization/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/preset-io/agent-skills/preset-mcp-visualization"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-visualization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.00563 |
| Opus 5 | $0.00023 | $0.00282 |
| Sonnet 5 | $0.00009 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
preset-mcp-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 12d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
preset-mcp-visualization
Use for chart and Explore workflows through MCP.
Always
- Treat "create", "make", or "build" a chart as saved-chart intent: use
generate_chartdirectly. Treat "add" as saved-chart intent only when no dashboard target is named; with a dashboard target, route topreset-mcp-dashboard. - Use
generate_explore_linkfor "show", "visualize", "explore", or "preview" requests with no save intent. - Use
get_dataset_infoonce to resolve exact column and metric names before building the config. - Use
get_chart_type_schemaonly for unfamiliar or complex chart types, or after a config validation error — not for simple bar, line, pie, table, or big-number charts. - Use saved metrics as saved metrics; do not treat metric names as raw columns.
generate_chartrequest shape: top-leveldataset_id(notdatasource_id), chart fields nested insideconfig, andconfig.chart_typeuses the MCP taxonomy, currently common values such asxy,table,pie,pivot_table,mixed_timeseries,handlebars, andbig_number— not a Supersetviz_typestring. If the needed type is not listed or validation fails, trustget_chart_type_schema.- Never fabricate URLs. Use URLs returned by MCP tools.
Decision Rules
- Creation intent ("create/make/build a chart", or "add a chart" with no dashboard target):
generate_chart. Do not substitute an unsaved Explore link. - Preview intent ("show/visualize/explore/preview"):
generate_explore_link. - Use
update_chartto change an existing saved chart. - Use
update_chart_previewonly for cached preview form data. - Route adding charts to dashboards to
preset-mcp-dashboard.
Workflow Order
- Resolve the dataset and its exact columns/metrics with one
get_dataset_infocall. - Build the config and call the tool matching the user's intent (create →
generate_chart). - If the call returns a validation error, do not retry the same config blindly: fetch
get_chart_type_schemaonce, fix the config against it, and retry once. - Report success based on the tool response, not assumption.
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.
- 12d ago First seen · 38 lines · 45 tokens per session scan A dac145ee9b70
preset-mcp-visualization is a skill published in the GitHub repository preset-io/agent-skills (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 563 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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