knowledge-check
Protocol for validating developer understanding of AI-generated technical decisions.
Skill by ovargas
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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.
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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
- 0.642score
grounded-claims
ovargas
Use when stating any fact about the codebase, a dependency, or prior work — separates verified claims from recalled ones so wrong premises are visible before…
SkillAFreshness: A★ 14Claude Code +9 - 0.642score
positive-framing
ovargas
Use when editing client-facing IDEA and PROPOSAL prose — reframes loss-framed phrases as gain-framed and enforces section-aware verb tense rules
SkillAFreshness: A★ 14Claude Code +9 - 0.641score
skill-awareness
ovargas
Use when starting any session — maps contexts to behavioral skills that should be active
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
adr-convention
ovargas
Use when creating, reviewing, or referencing architectural decision records — defines the ADR format, three-gate creation threshold, and local/hub flavors
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
git-practices
ovargas
Git conventions for branches, commits, and pull requests.
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
domain-glossary
ovargas
Use when a consumer project has a CONTEXT.md file — defines the domain glossary convention for consistent terminology across specs, plans, and code.
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
architecture-vocabulary
ovargas
Use when evaluating architecture in tech-review — provides formal vocabulary (Depth, Seam, Leverage, Locality, Adapter, Pass-through) with diagnostic…
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
design-principles
ovargas
Use when writing production code — enforces dependency inversion and testable design through checkpoint questions before writing function signatures and…
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
receiving-code-review
ovargas
Use when processing code review feedback from any source — enforces verify-before-implementing with no performative agreement
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
subagent-driven-development
ovargas
Use when /virtual-team:implement --sdd is active — defines orchestration protocol for fresh subagent per task with two-stage review
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
token-efficient
ovargas
Use when the user activates compressed output mode ("caveman mode", "terse", "compress") — drops conversational filler while preserving artifact quality.
SkillAFreshness: A★ 14Claude Code +9 - 0.634score
backlog
ovargas
Abstract backlog operations interface.
SkillAFreshness: A★ 14Claude Code +9
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
- Repository
- github.com/ovargas/virtual-team
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ovargas
- 0.642score
grounded-claims
ovargas
Use when stating any fact about the codebase, a dependency, or prior work — separates verified claims from recalled ones so wrong premises are visible before…
SkillAFreshness: A★ 14Claude Code +9 - 0.642score
positive-framing
ovargas
Use when editing client-facing IDEA and PROPOSAL prose — reframes loss-framed phrases as gain-framed and enforces section-aware verb tense rules
SkillAFreshness: A★ 14Claude Code +9 - 0.641score
skill-awareness
ovargas
Use when starting any session — maps contexts to behavioral skills that should be active
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
adr-convention
ovargas
Use when creating, reviewing, or referencing architectural decision records — defines the ADR format, three-gate creation threshold, and local/hub flavors
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
git-practices
ovargas
Git conventions for branches, commits, and pull requests.
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
domain-glossary
ovargas
Use when a consumer project has a CONTEXT.md file — defines the domain glossary convention for consistent terminology across specs, plans, and code.
SkillAFreshness: A★ 14Claude Code +9
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knowledge-check skill. Agent Mart. https://agentmart.dev/skills/ovargas-knowledge-check (last updated 2026-10-24)