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Install
$ agentstack add skill-preset-io-agent-skills-preset-mcp-data ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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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](references/data-tools.md)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: preset-io
- Source: preset-io/agent-skills
- License: Apache-2.0
- Homepage: http://www.preset.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.