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Verification Mastery

Community
xenitV1
verification-mastery

Evidence before claims, always. No completion claims without fresh verification. The final gate before declaring success.

Overview

PublisherxenitV1
Repositoryclaude-code-maestro
Skill nameverification-mastery
Stars
231
Forks
34
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xenitV1 on GitHub. Read the source before you install it.

Installation

Install the Verification Mastery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xenitV1/claude-code-maestro.git /tmp/claude-code-maestro
mkdir -p .claude/skills
cp -r /tmp/claude-code-maestro/skills/verification-mastery .claude/skills/verification-mastery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verification Mastery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Verification Mastery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Verification Mastery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

<domain_overview>

✅ VERIFICATION MASTERY: EVIDENCE BEFORE CLAIMS

Philosophy: Claiming work is complete without verification is dishonesty, not efficiency. Evidence before claims, always. EVIDENCE INTEGRITY MANDATE (CRITICAL): Never claim a task is complete based on assumption or past memory. You MUST generate fresh evidence (logs, screenshots, test output) for every claim. AI-generated success reports are untrustworthy without proof. Any completion signal sent without accompanying verification artifacts must be rejected as "Hallucinated Success".


🚨 THE IRON LAW

NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE

If you haven't run the verification command in this message, you cannot claim it passes. Violating the letter of this rule is violating the spirit of this rule. </domain_overview> <core_workflow>

🚪 THE GATE FUNCTION

BEFORE claiming any status or expressing satisfaction:
1. IDENTIFY: What command proves this claim?
2. RUN: Execute the FULL command (fresh, complete)
3. READ: Full output, check exit code, count failures
4. VERIFY: Does output confirm the claim?
   - If NO: State actual status with evidence
   - If YES: State claim WITH evidence
5. ONLY THEN: Make the claim
Skip any step = lying, not verifying

</core_workflow> <quality_standards>

📋 COMMON CLAIMS AND REQUIREMENTS

ClaimRequiresNOT Sufficient
"Tests pass"Test command output: 0 failuresPrevious run, "should pass"
"Linter clean"Linter output: 0 errorsPartial check, extrapolation
"Build succeeds"Build command: exit 0Linter passing, logs look good
"Bug fixed"Test original symptom: passesCode changed, assumed fixed
"Regression test works"Red-green cycle verifiedTest passes once
"Agent completed"VCS diff shows changesAgent reports "success"
"Requirements met"Line-by-line checklistTests passing
"No errors"Command output reviewed"I think it's fine"

<red_flags>

🚨 RED FLAGS - STOP IMMEDIATELY

If you catch yourself:

  • Using "should", "probably", "seems to"
  • Expressing satisfaction before verification ("Great!", "Perfect!", "Done!")
  • About to commit/push/PR without verification
  • Trusting agent success reports
  • Relying on partial verification
  • Thinking "just this once"
  • Tired and wanting work over
  • ANY wording implying success without having run verification ALL of these require: STOP. Run verification. THEN speak.

🚫 RATIONALIZATION PREVENTION

ExcuseReality
"Should work now"RUN the verification
"I'm confident"Confidence ≠ evidence
"Just this once"No exceptions
"Linter passed"Linter ≠ compiler
"Agent said success"Verify independently
"I'm tired"Exhaustion ≠ excuse
"Partial check is enough"Partial proves nothing
"Different words so rule doesn't apply"Spirit over letter
"It worked before"Run it NOW
"Too slow to run again"Slow verification > fast lies
</red_flags>

KEY PATTERNS

Tests

✅ CORRECT:
[Run: npm test]
[Output: 34/34 passing]
"All 34 tests pass."
❌ WRONG:
"Should pass now"
"Looks correct"
"Tests are green" (without running)

Regression Tests (TDD Red-Green)

✅ CORRECT:
1. Write test → Run (MUST PASS initial state or FAIL for right reason)
2. Break the code → Run (MUST FAIL)
3. Fix → Run (MUST PASS)
❌ WRONG:
"I've written a regression test"
(without red-green verification)

Build

✅ CORRECT:
[Run: npm run build]
[Output: Compiled successfully]
"Build passes."
❌ WRONG:
"Linter passed, so build should work"
(linter doesn't check compilation)

Requirements

✅ CORRECT:
1. Re-read plan/requirements
2. Create explicit checklist
3. Verify EACH item with evidence
4. Report gaps or confirm completion
❌ WRONG:
"Tests pass, phase complete"
(tests ≠ requirements)

Agent Delegation

✅ CORRECT:
1. Agent reports success
2. Check VCS diff (git diff, git status)
3. Verify changes are what was requested
4. Report actual state
❌ WRONG:
Trust agent report without verification

</quality_standards> <integration_and_tooling>

🔗 RALPH WIGGUM INTEGRATION

When Ralph Wiggum is active, verification gates are MANDATORY at each iteration:

  1. Before claiming iteration complete:
    • Run all relevant tests
    • Run build if applicable
    • Run linter if applicable
    • Provide evidence in output
  2. Quality Gate Check:
    • Proactive Gate verified?
    • Reflection Loop completed?
    • Verification Matrix updated?
  3. Completion Signal:
    • Only create .maestro/ralph.complete AFTER full verification
    • Include verification evidence in final summary

📊 VERIFICATION COMMANDS REFERENCE

JavaScript/TypeScript

bash
# Tests
npm test
npm run test -- --coverage
# Build
npm run build
# Lint
npm run lint
npx eslint . --ext .ts,.tsx
# Type check
npx tsc --noEmit

Python

bash
# Tests
pytest
pytest --cov=src
# Lint
ruff check .
flake8 .
# Type check
mypy src/

General

bash
# Git status (uncommitted changes)
git status
# Git diff (what changed)
git diff
# Process exit code (last command)
echo $?  # Unix
$LASTEXITCODE  # PowerShell

</integration_and_tooling> <reference_and_audit>

⏱️ WHEN TO APPLY

ALWAYS before:

  • ANY variation of success/completion claims
  • ANY expression of satisfaction
  • ANY positive statement about work state
  • Committing, PR creation, task completion
  • Moving to next task
  • Delegating to agents
  • Creating completion signals Rule applies to:
  • Exact phrases ("Tests pass")
  • Paraphrases ("Everything is green")
  • Synonyms ("All good")
  • Implications ("Ready for review")
  • ANY communication suggesting completion/correctness

💡 WHY THIS MATTERS

From failure analysis:

  • "I don't believe you" - trust broken with user
  • Undefined functions shipped - would crash in production
  • Missing requirements shipped - incomplete features
  • Time wasted: false completion → redirect → rework Core principle: Honesty is non-negotiable. Unverified claims are lies.

🏁 THE BOTTOM LINE

No shortcuts for verification. Run the command. Read the output. THEN claim the result. This is non-negotiable.

🔗 RELATED SKILLS

  • @tdd-mastery - Verification through failing tests first
  • @debug-mastery - Verify fix actually worked
  • @clean-code - Quality standards to verify against </reference_and_audit>

Frequently asked questions

What does the Verification Mastery AI skill do?

Evidence before claims, always. No completion claims without fresh verification. The final gate before declaring success.

Why use Verification Mastery on TypingMind?

Because you install it once and use it with any model. Verification Mastery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Verification Mastery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xenitV1/claude-code-maestro/tree/main/skills/verification-mastery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Verification Mastery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Verification Mastery?

As many as you like. As long as a model supports skills, you can use Verification Mastery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Verification Mastery AI skill free?

Yes. It is published on GitHub by xenitV1 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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