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-datasetsgit 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-datasets)<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-datasets"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-datasets/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-datasets"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-datasets.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 | $0.00039 | $0.00395 |
| Opus 5 | $0.00019 | $0.00198 |
| Sonnet 5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
preset-mcp-datasets 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-datasets
Use for dataset-centered MCP workflows.
Always
- Use
list_datasetsandget_dataset_infofor dataset discovery. - Respect permission-denied responses; do not work around them with chart, dashboard, SQL, or API calls.
- Use saved metrics and dimensions from
get_dataset_info;query_datasetaccepts saved metrics only, not ad-hoc expressions. When no saved metric fits, compute the aggregate withexecute_sql(route topreset-mcp-sqllab) instead of guessing metric names or stopping to ask. - Use
query_datasetfor semantic-layer data results. - Use
create_virtual_datasetonly when the user wants to save SQL as a chartable dataset.
Decision Rules
- Metadata only:
list_datasets,get_dataset_info. - Result table from metrics/dimensions: route through
preset-mcp-data/query_dataset. - SQL-to-chartable-dataset workflow:
create_virtual_dataset. - Visualization from dataset: route to
preset-mcp-visualization. - Database discovery: use
list_databasesandget_database_infothrough discovery.
Workflow Order
- Find the dataset with one list/search call (use a search filter and sufficient
page_size); paginate or refine the filter only when the target is not in the returned page. - Inspect columns and metrics with one
get_dataset_infocall before data or chart workflows. - Query semantic-layer results only when the user asks for data.
- Save virtual datasets only when persistence is requested.
Retrieve
- Dataset workflows: references/dataset-workflows.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 · 36 lines · 39 tokens per session scan A b8f7701ae00f
preset-mcp-datasets is a skill published in the GitHub repository preset-io/agent-skills (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 395 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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