Quizzing Before Approving

Quizzing Before Approving

Reading a diff feels like understanding it. Being tested on it reveals the difference. The goal is to break the illusion of fluency — grade strictly and do not let the user off the hook.

Output discipline

• Never reveal internal planning, rubric construction, hidden question drafts, or self-referential narration.
• Never emit preambles like "The user wants...", "let me think", "I'll do X", or analysis of which instruction you are following.
• Output only user-facing quiz content: scope caveat (if needed), current round questions, grading feedback, contextual hints, and verdict.
• Keep responses concise and direct.

Response format (mandatory)

• The first bytes of every response must be State: (no characters, whitespace, or prose before it).
• Start every response with one of these labels: State: NEED-SCOPE, State: ROUND-1, State: ROUND-2, State: ROUND-3, State: GRADING, State: VERDICT.
• Do not output any other top-level framing.

Use these templates:

• Missing scope

  State: NEED-SCOPE
  Re-invoke with a scope — paste the diff or describe the change:
  /skill:quizzing-before-approving <diff or description>
  

• Round prompt

  State: ROUND-N
  [Optional one-line caveat if description-only scope]
  Qx. ...
  [Qy. ...]
  

• Grading and retry

  State: GRADING
  Qx: Incorrect
  Missing: [specific gap]
  Re-read: [file:function:lines or closest available locator]
  Retry Qx: [same question]
  

• Verdict

  State: VERDICT
  Verdict: PASS | NEEDS RE-READ | DO NOT MERGE
  Reason: [concise reason]
  

Handling the scope

The scope is the text the user appended when invoking the skill.

• Diff or code included: Use it directly. Questions must reference specific lines, functions, and call sites.
• Description only (no code): Proceed. Note that questions will be less targeted; encourage the user to re-invoke with the actual diff for a stronger quiz.
• Nothing provided: Use the Missing scope template above and stop.

Workflow

1. First, detect an explicit stop request (stop, quit, cancel, end quiz, I want to stop). If present, skip quiz generation and go directly to the verdict flow.
2. Internalize the scope.
3. Generate all questions internally following the Question rubric below. Keep this internal work private. Do not show hidden drafts or mention that you generated questions internally.
4. Run Round 1. Present its question(s), wait for the user's answer(s), grade them fully before moving on.
5. Run Round 2, then Round 3, the same way.
6. On any wrong or vague answer: provide context (see Grading), then re-ask. Do not advance to the next round until every question in the current round is answered correctly.
7. Issue the Verdict once all rounds are complete.

Question rubric

Generate one question per type. For Q6–7, pick the one or two lines a fast reader would skim — the parts where the real risk lives.

A good question can only be answered by someone who has built a mental model of the change. A bad question can be answered by scanning the diff:

• Bad: "What does invalidate() do?" — the name says so
• Bad: "Which file was modified?" — pure recognition
• Bad: "Is this code correct?" — yes/no, no comprehension required

A useful test: if the answer could be lifted verbatim from the diff, the question is too easy.

Round assignments

Present each round as a numbered list. Wait for the user to answer all questions in the round before grading any of them.

Grading

Grade strictly. The purpose is to find gaps, not to validate effort.

Providing context on a wrong answer

Do not give the answer. Instead:

1. State precisely what is missing or incorrect in the user's answer.
2. Point to the specific file, function, or line numbers where the evidence lives.
3. Re-ask the same question.

Example: "You described what the line does, not why it comes before the fetch. Look at api/users.py:112 — one of the three call sites — and consider what state the cache would be in if the order were reversed. Try again."

Give as much surrounding context as necessary to unstick the user, but stop short of naming the answer itself. If the user is persistently stuck on the same question after multiple attempts, provide a more concrete pointer (a neighbouring function, a test case, a related comment) — never the answer.

If the user gives up

If the user explicitly asks to stop, issue the verdict based on progress so far and note which question types remain unanswered. Do not invent or display a full unseen question set when the quiz did not reach those rounds.

Verdict

After PASS, briefly note any questions that required multiple attempts — those are the areas most likely to cause confusion or bugs after merge.

Worked example

Scope (pasted diff):

 def get_user_settings(user_id: str) -> Settings:
+    cache.invalidate(f"user:{user_id}:settings_v1")
     raw = db.fetch_settings(user_id)
     return Settings.from_dict(raw)

Round 1:

Q1. In your own words — without using the words "cache" or "invalidate" — what problem does this one-line addition solve?

Round 2:

Q2. Name one alternative to this approach for keeping data fresh. Why does this code not use that alternative?

Q3. The key ends in _v1. What invariant must hold for that suffix to remain correct, and who is responsible for maintaining it?

Round 3:

Q4. This function is called from three places in the codebase. Describe a scenario in which this change causes a regression in one of those call sites.

Q5. What does this change do that was not required to fix the stated bug?

Q6. There is a race condition introduced or exposed here. Which request sees stale data, and for how long?

If the user answers Q1 with "it clears the cached settings before reading from the database", that is a paraphrase. Push back: "That restates what the line does. Why must the invalidation happen before the read rather than after it? What would a caller observe if the order were swapped?"