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Ghostship

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Ghostship detects bugs before users do ensuring smooth code releases.

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Agents Testing QA

Overview

AgentAuth (by Composio) is an authentication platform that handles OAuth, API keys, JWT and related flows so AI agents can securely connect to third-party applications and act on users’ behalf without developers building per-service auth plumbing.

Key Features:

  • Managed auth flows for OAuth2, API keys, JWT, Basic Auth and automatic token refresh.
  • Ready-to-use, typed toolkit functions and SDKs (JS/Python) returned after a user connects an account.
  • Support for 250+ third-party applications and broad toolkit coverage via Composio’s registry.
  • Integration with agentic frameworks and LLM function-calling workflows.
  • White-labeling/self-hosting options and a unified dashboard to monitor connected accounts.

Use Cases:

  • Customer support automation that reads CRM records, drafts responses and updates tickets across systems.
  • Meeting scheduling agents that access calendars and send invites across email/Slack.
  • Sales automation that reads Salesforce/HubSpot data, updates records and composes outreach.
  • Developer workflow automation that reviews PRs, updates issues, and posts notifications.

Benefits:

  • Reduces engineering time by removing the need to build and maintain per-service auth flows.
  • Ensures more reliable, production-ready agent interactions by handling token refresh and edge cases.
  • Improves security and governance with centralized controls and compliance posture (SOC 2 referenced).
  • Enables faster agent development by providing prebuilt tools and framework integrations.

Capabilities

  • Autonomously crawls and simulates real user interactions on web apps to find bugs
  • Analyzes GitHub repositories and PR diffs to decide what to test per pull request
  • Runs AI-generated end-to-end test scenarios derived from product analysis and diffs
  • Executes vision-based UI agents that perform simulated user flows in the application
  • Produces step-by-step reproduction instructions for discovered bugs
  • Captures and attaches screenshots and visual evidence for each reported bug
  • Highlights relevant code chunks (file and line ranges) linked to the failing behavior
  • Generates suggested code snippets/patches to fix identified issues
  • Runs as a GitHub-native CI/PR check that validates pull requests before merge
  • Delivers real-time notifications of agent findings to team communication channels
  • Allows specifying or prioritizing critical user flows for focused testing
  • Targets web applications initially (spins up agents per PR for web app interfaces)

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