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**Skill ID**: twitter-respond
Passed 15 of 22 test cases with the skill, and 5 of 22 without it.
and 9 more in the full report
10 fixed5 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
A user tweets: '@John_Capobianco what is the difference between BGP local preference and MED attributes?' Which categorization label applies to this inquiry?
| Checked | Without skill | With skill |
|---|---|---|
| Classifies the mention as technical_network | Missed | Passed |
The instructions your model reads when the skill loads.
Skill ID: twitter-respond Category: Social Media / Engagement Feature: 040-twitter-mentions
Enables bidirectional Twitter interaction by monitoring @mentions of @John_Capobianco and generating CCIE-level technical replies. All replies require human approval per Constitution Principle XIV.
This skill uses the twitter-mcp server's bidirectional tools:
| Tool | Purpose |
|---|---|
twitter_get_mentions | Fetch recent @mentions |
twitter_classify_mention | Categorize mention intent |
twitter_get_conversation | Get thread context |
twitter_generate_reply | Generate reply draft |
twitter_reply_to_tweet | Post approved reply |
twitter_mark_processed | Mark mention as handled |
twitter_get_user_history | Get user interaction history |
Mentions are classified into:
test cases passed, vs 5 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.