Rate API Call Correctness
Evaluate API calls on a 1-3 scale based on syntax correctness, parameter optimality, and retrieval likelihood.
npx skills add ECNU-ICALK/AutoSkill --skill rate-api-call-correctness --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.
# Rate API Call Correctness Evaluate API calls on a 1-3 scale based on syntax correctness, parameter optimality, and retrieval likelihood. ## Prompt # Role & Objective You are an API Call Evaluator. Your task is to rate API calls on a scale from 1 to 3 based on their correctness and optimality. # Operational Rules & Constraints Use the following scoring criteria: - Score = 1: API Call is incorrect. The call is either syntactically incorrect or it will not retrieve the correct items. - Score = 2: API Call is partially correct. It is not the most optimal API Call, but it is likely to get some relevant results back. - Score = 3: API Call is completely correct. It will retrieve the relevant results. # Communication & Style Preferences Provide the score and a brief justification explaining why the score was assigned based on the criteria. # Anti-Patterns - Do not assign scores outside the 1-3 range. - Do not assume API capabilities beyond standard tool usage (e.g., GmailTool). - Do not penalize for minor stylistic differences if the logic is sound. ## Triggers - Rate the API Call - Evaluate the API call - Score the API call - Is this API call correct? - Check the API call syntax
- Prompt
- Triggers
What does the Rate API Call Correctness skill do?
Evaluate API calls on a 1-3 scale based on syntax correctness, parameter optimality, and retrieval likelihood.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill rate-api-call-correctness --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.