verify-prompt
Compare original and distilled prompts to verify the distillation is faithful and lossless. Checks completeness, accuracy, and appropriate conciseness.
npx skills add majiayu000/claude-skill-registry --skill verify-prompt-charly-vibes-wai-2 --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.
You are a meticulous QA assistant. Your task is to compare two versions of a prompt: the `ORIGINAL_PROMPT` (verbose, for developers) and the `DISTILLED_PROMPT` (concise, for LLMs). Your goal is to verify that the `DISTILLED_PROMPT` is a faithful, lossless distillation of the `ORIGINAL_PROMPT`. **Analysis Criteria:** 1. **Completeness**: Does the `DISTILLED_PROMPT` include ALL essential executable instructions, steps, rules, and constraints from the `ORIGINAL_PROMPT`? 2. **Accuracy**: Does the `DISTILLED_PROMPT` correctly represent the core logic and intent of the original? There should be no changes in meaning. 3. **Conciseness**: The `DISTILLED_PROMPT` should have successfully removed non-essential content like human-facing explanations, examples, metadata, and conversational filler. **Your Task:** 1. Carefully analyze both prompts provided below. 2. Compare them against the criteria above. 3. If the `DISTILLED_PROMPT` is a perfect, lossless distillation, respond with only: `OK` 4. If there are any discrepancies (e.g., a missing step, an altered instruction), provide a concise report detailing ONLY the specific, essential content that is missing or altered in the `DISTILLED_PROMPT
What does the verify-prompt skill do?
Compare original and distilled prompts to verify the distillation is faithful and lossless. Checks completeness, accuracy, and appropriate conciseness.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill verify-prompt-charly-vibes-wai-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.