sql-insight
Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.
72
88%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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 runtime workflow (“schema --compact”, “explain”, and then passing those outputs as LLM context) ingests database-derived free text from the connected DB itself (e.g., table/column names, sampled row contents, and EXPLAIN details) via `scripts/sql_query_helper.py` printing JSON/plain-text, which is then suitable for embedding into prompts and could include attacker-controlled strings; the source is not limited to user-authored content.
- Repository
- zebbern/claude-code-guide
- Commit
af7d491
- Audited
- Security analysis
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