exa-reference-architecture
Implement Exa reference architecture for search pipelines, RAG, and content discovery. Use when designing new Exa integrations, reviewing project structure, or establishing architecture standards for neural search applications. Trigger with phrases like "exa architecture", "exa project structure", "exa RAG pipeline", "exa reference design", "exa search pipeline".
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/saas-packs/exa-pack/skills/exa-reference-architecture/SKILL.mdLow
Low-risk findings.
2 low severity findings. 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 skill’s workflow ingests outsider-authored free text at runtime by calling Exa’s search/content retrieval (e.g., `exa.searchAndContents`, `findSimilarAndContents`) and then injecting returned `r.text`/`r.highlights` into an RAG context string.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill calls the Exa API (api.exa.ai) at runtime (via exa.searchAndContents / findSimilarAndContents) to fetch external webpage contents (e.g., "github.com", "arxiv.org", "techcrunch.com", etc.) and then directly injects results.results[].text into the LLM context, so those remote URLs control prompts.
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0540a62
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- Security analysis
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