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Verification Before Completion

Community
bobmatnyc
verification-before-completion

Run verification commands and confirm output before claiming success

Overview

Publisherbobmatnyc
Repositoryclaude-mpm
Skill nameverification-before-completion
Stars
152
Forks
34
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Verification Before Completion 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/bobmatnyc/claude-mpm.git /tmp/claude-mpm
mkdir -p .claude/skills
cp -r /tmp/claude-mpm/plugin/skills/universal-debugging-verification-before-completion .claude/skills/verification-before-completion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verification Before Completion 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 Before Completion 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 Before Completion 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.

Verification Before Completion

Overview

Claiming work is complete without verification is dishonesty, not efficiency.

Core principle: Evidence before claims, always.

Violating the letter of this rule is violating the spirit of this rule.

This skill enforces mandatory verification before ANY completion claim, preventing false positives, broken builds, and trust violations.

When to Use This Skill

Activate ALWAYS before claiming:

  • Success, completion, or satisfaction ("Done!", "Fixed!", "Great!")
  • Tests pass, linter clean, build succeeds
  • Committing, pushing, creating PRs
  • Marking tasks complete or delegating to agents

Use this ESPECIALLY when:

  • Under time pressure or tired
  • "Quick fix" seems obvious or confidence is high
  • Agent reports success or tests "should" pass

The Iron Law

NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE

Without running the verification command in this message, claiming success is not allowed.

Core Principles

  1. Evidence Required: Every claim needs supporting evidence
  2. Fresh Verification: Must verify now, not rely on previous runs
  3. Complete Verification: Full command, not partial checks
  4. Honest Reporting: Report actual state, not hoped-for state

Quick Start

The five-step gate function:

  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.

Key Patterns

Correct Pattern:

✅ [Run pytest] [Output: 34/34 passed] "All tests pass"

Incorrect Patterns:

❌ "Should pass now"
❌ "Looks correct"
❌ "Tests were passing"
❌ "I'm confident it works"

Red Flags - STOP Immediately

STOP when:

  • Using "should", "probably", "seems to"
  • Expressing satisfaction before verification
  • About to commit/push/PR without verification
  • Trusting agent success reports
  • Relying on partial verification

ALL of these mean: STOP. Run verification first.

Why This Matters

Statistics from real-world failures:

  • Verification cost: 2 minutes
  • Recovery cost: 120+ minutes (60x more expensive)
  • 40% of unverified "complete" claims required rework

Core violation: "Lying leads to replacement"

Navigation

For detailed information:

The Bottom Line

No shortcuts for verification.

Run the command. Read the output. THEN claim the result.

This is non-negotiable.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Verification Before Completion AI skill do?

Run verification commands and confirm output before claiming success

Why use Verification Before Completion on TypingMind?

Because you install it once and use it with any model. Verification Before Completion 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 Before Completion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bobmatnyc/claude-mpm/tree/main/plugin/skills/universal-debugging-verification-before-completion. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Verification Before Completion?

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 Before Completion?

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

Is the Verification Before Completion AI skill free?

Yes. It is published on GitHub by bobmatnyc 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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