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data-table-manager

Load before calling data-tables or parse-file. Use for natural standalone requests like "what data tables do I have?", "show/list my tables", or "what columns are in this table?", and whenever the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments. Also load before building or planning workflows that create or write to Data Tables (then load workflow-builder before build-workflow).

79

Quality

100%

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W007: Insecure credential handling detected in skill instructions.

What this means

The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.

Why it was flagged

This skill explicitly instructs the agent to preserve and insert parsed file cell values "even when they look like ... secrets" and to include data when calling data-table mutating tools, which forces the LLM to include secret-like values verbatim in generated tool requests or outputs.

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Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The required workflow includes importing attachments via `parse-file`, which reads the attachment’s contents (outsider-authored file text the operating user did not author) into LLM context during preview/mapping, creating indirect prompt-injection risk.

Repository
n8n-io/n8n
Audited
Security analysis
Snyk

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