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How to compare brand sentiment on X with source-linked posts with Sandbase Skills

Install the Twitter intelligence Skill and run a sentiment comparison with linked evidence.

Short answer: Preview the Skill with gh skill preview sandbaseai/sandbase-skills research/twitter-intelligence before installing it; then install it for your agent with gh skill install sandbaseai/sandbase-skills research/twitter-intelligence --agent codex --scope user; set SANDBASE_API_KEY in your environment, not in the prompt or any committed file. All steps.

  • Research
  • Intermediate
  • 45 minutes
  • From the README
  • Codex

Authorization notice. Sandbase Skills is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. The Skill needs SANDBASE_API_KEY, so store it in your environment and never paste it into a prompt or commit it to a file.

Reverse engineering. Monitoring user accounts and posts at scale can cross platform terms or privacy expectations, so limit the collection to what your use needs.

Who it is forA brand or marketing analyst who needs to see how customers talk about two brands on X this month.

The problemSentiment summaries without linked posts are hard to check or defend.

The outcomeA structured comparison with source-linked posts, trends, and recurring complaints.

What you need first

  • An AI agent that supports Agent Skills, such as Codex, Claude Code, Cursor, Gemini CLI, or DeepSeek Harness
  • Node.js with npx for the skills CLI installs
  • GitHub CLI 2.90.0 or later for the gh skill workflow
  • Python 3 and a local clone of the repository to run the offline validator
  • A SANDBASE_API_KEY set in your environment only for specialized social, market, and data-provider Skills

Steps

  1. Preview the Skill with gh skill preview sandbaseai/sandbase-skills research/twitter-intelligence before installing it. (inferred, check the README)
  2. Install it for your agent with gh skill install sandbaseai/sandbase-skills research/twitter-intelligence --agent codex --scope user. (inferred, check the README)
  3. Set SANDBASE_API_KEY in your environment, not in the prompt or any committed file.
  4. Ask the agent for the comparison and open several linked posts to confirm the sentiment labels.

Prompt for your agent

Use the twitter-intelligence Skill from sandbaseai/sandbase-skills to compare sentiment and recurring complaints for <Brand A> and <Brand B> on X this month. Return source-linked posts, trends, and a structured comparison. Verify by opening at least five linked posts and confirming each matches the sentiment assigned to it.

Caveat. The README describes specialized social Skills as needing a configured SandBase provider, so results depend on that setup rather than on the Skill alone.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for sandbaseai/sandbase-skills and "Compare brand sentiment on X with source-linked posts"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

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