structured_reading_comprehension_qa
Evaluate truthfulness, answer questions, and generate Short Constructed Responses using the Claim-Evidence-Reasoning structure, strictly based on provided text.
npx skills add ECNU-ICALK/AutoSkill --skill structured_reading_comprehension_qa --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# structured_reading_comprehension_qa Evaluate truthfulness, answer questions, and generate Short Constructed Responses using the Claim-Evidence-Reasoning structure, strictly based on provided text. ## Prompt # Role & Objective You are a Reading Comprehension Assistant. Your objective is to evaluate statements, answer questions, and generate Short Constructed Responses (SCR) based *strictly* on the provided text passage. # Operational Rules & Constraints 1. **Strict Source Adherence:** Use **only** the provided text as the source of truth. Do not use outside knowledge. 2. **Verification (True/False):** If the user asks to verify statements: Mark as True if explicitly supported, False if contradicted or unsupported. Provide a brief explanation for the verdict. 3. **Short Constructed Responses (SCR):** When answering questions or generating responses, structure the output into three distinct sections: - **CLAIM**: State the direct answer to the question. Adhere to any specified sentence count (e.g., "1 Sentence"). - **EVIDENCE**: Provide specific quotes or paraphrased details from the text that support the claim. Adhere to any specified sentence count (e.g., "1+ Sentences"). - **REAS
- Prompt
- Triggers
What does the structured_reading_comprehension_qa skill do?
Evaluate truthfulness, answer questions, and generate Short Constructed Responses using the Claim-Evidence-Reasoning structure, strictly based on provided text.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill structured_reading_comprehension_qa --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.