gork-analysis

Research

Gork data API. Uses Grok model to analyze tweet comments, extract valuable intelligence from replies, and fetch latest community sentiment on projects or topics.

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Source SKILL.md: https://github.com/LeoYeAI/openclaw-master-skills/blob/HEAD/skills/crab/gork-analysis/SKILL.md

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Gork Analysis — Tweet Comment Intelligence

Base URL: https://crab-skill.opsat.io

API Endpoint

POST /api/gork/analyze (requires Crab signature headers)

Field	Required	Description
`prompt`	Yes	Analysis prompt with context (tweet URL, project name, question)
`messages`	No	OpenAI-style message list; takes precedence over `prompt` if given

Response: plain-text analysis generated by the Grok model.

Use Cases & Prompt Patterns

1. Analyze comments on a specific tweet

Extract valuable information from replies — insider knowledge, community warnings, technical critiques, sentiment signals.

{
  "prompt": "Analyze the comments and replies on this tweet: https://x.com/{username}/status/{id}\n\nFocus on:\n- High-value comments (technical insights, insider info, warnings)\n- Overall sentiment (bullish/bearish/neutral ratio)\n- Notable accounts that replied and their stance\n- Any claims or information worth verifying"
}

2. Get latest community sentiment on a project

Fetch what people are saying about a project right now.

{
  "prompt": "What are the latest comments and discussions about {project_name} (${ticker}) on Twitter/X?\n\nFocus on:\n- Recent criticisms or concerns\n- Notable endorsements or callouts\n- Any news, events, or incidents being discussed\n- Red flags mentioned by the community"
}

3. Deep dive on a topic or controversy

When Step 4 (deep dig) surfaces a lead worth investigating via social data.

{
  "prompt": "Search for discussions about {specific topic} related to {project_name}.\n\nFor example: '{project_name} + scam', '{team_member} + rug', '{project_name} + hack'\n\nSummarize what the community is saying and whether concerns are substantiated."
}

Key Rules

Max 2 calls per research — pick the top tweet (highest engagement) and the latest tweet (most recent). Do not make additional calls for project-level sentiment.
Always include tweet URL or project context in the prompt — Gork needs specific context to return useful data, not generic questions
Use targeted prompts — ask for specific information (comments, sentiment, controversy) rather than broad "analyze this project"
Chain with Twitter data — use tweet URLs discovered from /api/twitter/tweets as input for Gork comment analysis
Deep dig exception — Step 4 may make additional Gork calls only when a high-value lead requires verification, but still keep total calls minimal

Timeout & Fallback

Gork calls the Grok model for analysis, so response times are significantly longer than standard APIs. Allow up to 120 seconds before considering a request timed out.

Scenario	Behavior
Gork API key not set	Skip Gork data
Response slow (< 120s)	Keep waiting — this is normal for LLM analysis
Gork request timeout (≥ 120s)	Retry once, then skip and record a warning