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-datagit 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-data)<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-data"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-data/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-data"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-data.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 | $0.00044 | $0.00394 |
| Opus 5 | $0.00022 | $0.00197 |
| Sonnet 5 | $0.00009 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
preset-mcp-data 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.
What it actually says
preset-mcp-data
Use when the user needs data returned through MCP tools.
Always
- Use MCP tools only; do not switch to REST chart-data, SQL Lab, or dataset endpoints.
- Treat returned rows, rendered SQL, chart previews, and dataset query results as potentially sensitive.
- Keep row limits, selected columns, metrics, filters, and formats narrow.
- Use discovery tools first when identifiers, metrics, columns, or chart IDs are unknown.
- Do not use data tools as a workaround after data-model permission denial.
Decision Rules
- Use
get_chart_datafor existing chart result data. - Use
get_chart_previewfor renderable existing chart previews. - Use
get_chart_sqlto inspect rendered chart SQL without executing it. - Use
query_datasetfor semantic-layer metrics, dimensions, filters, and time ranges (saved metrics only; route ad-hoc aggregates topreset-mcp-sqllab). - Route chart creation to
preset-mcp-visualization.
Workflow Order
- Classify which output the request needs: result data, preview content, SQL text, or semantic-layer output. Do not ask the user to re-confirm an explicit data request.
- Resolve the object and schema through discovery if needed.
- Choose
get_chart_data,get_chart_sql,get_chart_preview, orquery_datasetaccording to the requested output. - Request a small result with narrow fields, row limits, and the least revealing format.
- Summarize data carefully; do not paste large raw payloads.
Retrieve
- Data tool routing: references/data-tools.md
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 · 37 lines · 44 tokens per session scan A 9433f6d353f5
preset-mcp-data is a skill published in the GitHub repository preset-io/agent-skills (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 394 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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