Store and retrieve customer context using Twilio Conversation Memory. Covers Memory Store provisioning, profile management, traits, observations, conversation summaries, and semantic Recall. Use this skill to give AI agents or human agents persistent memory of customer interactions across sessions and channels.
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Low-risk findings worth noting
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tessl review fix ./plugins/twilio-developer-kit/skills/twilio-customer-memory/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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.
SKILL.md describes “Recall” calling the Twilio memory service and then injecting returned `observations`/`summaries` content into the app’s LLM prompt (`.../Profiles/{profile_id}/Recall` → join `o["content"]`/`s["content"]` → `system_prompt`), where those fields originate from prior conversation participants (outsider-authored text such as customers/callers) rather than the operating user.
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.
The skill issues runtime requests to the Recall endpoint (e.g. f"https://memory.twilio.com/v1/Services/{memory_store_sid}/Profiles/{profile_id}/Recall" and `https://memory.twilio.com/v1/Services/${memoryStoreSid}/Profiles/${profileId}/Recall`), whose returned observations/summaries are directly injected into the LLM system prompt and therefore control agent behavior.
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