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knowledge-check

Protocol for validating developer understanding of AI-generated technical decisions.

Skill by ovargas

IndexedMIT★ 14
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ovargas-knowledge-check

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About

Protocol for validating developer understanding of AI-generated technical decisions. Loaded by /plan, /pr, and the standalone /virtual-team:check command.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/knowledge-check

What's inside

Skill name
knowledge-check
Description
Protocol for validating developer understanding of AI-generated technical decisions. Loaded by /plan, /pr, and the standalone /virtual-team:check command.
License
MIT
Instructions
265 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Knowledge Check Skill

Protocol for validating that developers understand the technical decisions the AI made on their behalf. The AI acts as a tutor — it quizzes, evaluates, explains, and logs results.

## When This Skill Is Loaded

- **After `/virtual-team:plan` approval** — quiz on architectural decisions and technical approach
- **Before `/virtual-team:pr` submission** — quiz on implementation patterns and code decisions
- **Standalone `/virtual-team:check`** — developer-initiated quiz on any current work

## Developer Settings

The knowledge check triggers automatically based on the developer's home settings.

**File:** `~/.claude/settings.json`

**Setting:**
```json
{
  "knowledgeCheck": "on"
}
```

**Values:**
- `"on"` — run knowledge checks at plan and PR checkpoints (soft block: warn on gaps, always proceed)
- `"strict"` — run knowledge checks as hard blocks (must pass to proceed)
- `"off"` or absent — skip knowledge checks entirely

**How commands use this setting:**
1. Read `~/.claude/settings.json` at the start of the check step
2. If `knowledgeCheck` is `"on"` or `"strict"`, run the check
3. If `knowledgeCheck` is `"off"`, absent, or the file doesn't exist, skip silently
4. The standalone `/virtual-team:check` command always runs regardless of settings (developer chose to invoke it)
5. `--auto` mode on `/virtual-team:plan` and `/virtual-team:pr` always skips the check (nobody is there to answer)

---

## Question Generation

### Post-Plan Questions (Architectural Focus)

Read the approved plan and generate questions targeting:

1. **Tech choices** — Why was this library/pattern/approach chosen?
2. **Tradeoffs** — What are the downsides of the chosen approach? What was considered and rejected?
3. **Ordering** — Why are the phases in this sequence? What breaks if you reorder them?
4. **Integration** — How does this change fit into the existing system architecture?
5. **Risks** — What are the identified risks and how does the plan mitigate them?

**Source material:** The plan document, the feature spec, `stack.md`, any referenced decision records.

### Pre-PR Questions (Implementation Focus)

Read the branch diff and the implementation plan, then generate questions targeting:

1. **Patterns** — Why was this code pattern used? What existing code does it follow?
2. **Data flow** — How does data move through the new/modified code?
3. **Edge cases** — What edge cases are handled? How?
4. **Error handling** — What happens when things fail? What's the recovery path?
5. **Testing** — Why were these specific test scenarios chosen? What's covered and what isn't?

**Source material:** `git diff <base>...HEAD`, the implementation plan, the feature spec, the test files.

### Standalone /virtual-team:check Questions

Determine what the developer is currently working on:
1. Load the backlog skill and call **`list(status=doing)`** and **`list(status=implemented)`** to find items in progress
2. Find the associated plan and feature spec
3. Check the current branch diff
4. Generate questions appropriate to the current stage:
   - If pre-implementation (plan exists, no code yet) → architectural questions
   - If mid-implementation (code in progress) → mix of both
   - If post-implementation (code done, pre-PR) → implementation questions

---

## Question Format (Mix)

Generate **3-5 questions** per checkpoint.

### Multiple Choice (2-3 per checkpoint)
For factual/recall questions where there's a clear correct answer.

**Structure:**
```
**Q1:** [Question about a specific decision from the plan/code]

A) [Correct answer]
B) [Plausible but incorrect alternative]
C) [Plausible but incorrect alternative]
D) [Plausible but incorrect alternative]
```

**Guidelines:**
- The correct answer should come from the actual plan/code decisions
- Wrong answers should be plausible alternatives that a developer might consider
- Don't make wrong answers obviously absurd — they should test real understanding
- Shuffle the position of the correct answer (don't always put it as A)

**Examples of good multiple choice questions:**
- "Which existing pattern does the plan reference for the new API endpoint?"
- "What database approach was chosen for the notification preferences?"
- "Which phase must complete before the frontend work can begin?"

### Open-Ended (1-2 per checkpoint)
For critical decisions where the developer needs to articulate reasoning.

**Structure:**
```
**Q4 (open):** [Question requiring explanation]

*Key concepts your answer should touch on:*
(hidden until after the developer answers)
```

**Guidelines:**
- Target the single most important architectural or implementation decision
- The question should require understanding the WHY, not just the WHAT
- Prepare 3-5 key concepts that a good answer should cover (used for evaluation)

From ovargas/virtual-team, MIT.

More from ovargas/virtual-team

Signals

Stars
14
Forks
1
Open issues
0
Last commit (this folder)
May 12, 2026 (5 months ago)
Last release
Oct 8, 2026 (25 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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knowledge-check skill. Agent Mart. https://agentmart.dev/skills/ovargas-knowledge-check (last updated 2026-10-24)