Build, integrate, migrate to, and answer how-to questions for Stream Chat, Video, and Feeds in Swift / SwiftUI / UIKit / iOS apps. Routes each request to the exact official iOS docs page, fetches it live, and applies it - with a curated setup flow, a Sendbird -> Stream Chat migration runbook, and iOS-specific pitfalls.
72
73%
Does it follow best practices?
Impact
97%
1.59xAverage score across 2 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/stream-swift/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.
The required workflow includes fetching live Stream documentation pages at runtime (public web content) via WebFetch of the `.md` twin URLs, which are outsider-authored free text that can contain indirect prompt-injection payloads.
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 explicitly fetches live Markdown docs from getstream.io at runtime (e.g. https://getstream.io/chat/docs/sdk/ios/basics/integration.md and the live index https://getstream.io/cli/docs/chat-sdk-ios.md), and those fetched pages are used to drive the agent's prompts and code-generation, so external content directly controls agent behavior.
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