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Verification Strategy

OrganizationPopular
vstorm-co
verification-strategy

Thorough verification of completed work before declaring done

Overview

Publishervstorm-co
Repositorypydantic-deepagents
Skill nameverification-strategy
Stars
1.1K
Forks
134
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 vstorm-co on GitHub. Read the source before you install it.

Installation

Install the Verification Strategy 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.
    https://github.com/vstorm-co/pydantic-deepagents/tree/main/apps/cli/skills/verification-strategy
  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/vstorm-co/pydantic-deepagents.git /tmp/pydantic-deepagents
mkdir -p .claude/skills
cp -r /tmp/pydantic-deepagents/apps/cli/skills/verification-strategy .claude/skills/verification-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verification Strategy 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 Strategy 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 Strategy 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 Strategy

How to verify your work is correct before declaring a task complete.

The Verification Checklist

After implementing a solution, go through ALL of these:

1. Re-read the original task

  • Re-read the EXACT wording of the task instruction
  • Check every requirement — file paths, names, formats, constraints
  • Are there implicit requirements? ("compile with gcc -O3 -lm" means exact flags)

2. Check file outputs

  • Do all required files exist at the exact paths specified?
  • Are file sizes within any stated limits?
  • Is the file format correct? (binary vs text, encoding, line endings)
bash
ls -la /path/to/expected/output
wc -c /path/to/output    # byte count
file /path/to/output      # format detection
head -5 /path/to/output   # content preview

3. Compile and run

  • Compile with the EXACT flags specified in the task
  • Run with the EXACT command and arguments specified
  • Check exit code: echo $? (should be 0 for success)
  • Check both stdout AND stderr

4. Validate output

  • Compare output against expected format
  • Check exact field names, delimiters, number formatting
  • If the task specifies output format, match it exactly:
    • JSON: valid JSON? correct schema?
    • CSV: correct headers? correct delimiter?
    • Plain text: correct line endings? trailing newline?

5. Test edge cases

  • Empty input (if applicable)
  • The specific test inputs mentioned in the task
  • Large inputs (if the task involves performance)

6. Check constraints

  • Size limits (file size, code length)
  • Time limits (does it finish in reasonable time?)
  • Memory limits (does it stay within bounds?)
  • No external dependencies that aren't available

Reading Test Scripts

If you can find the test script, READ IT:

  • What exact assertions does it make?
  • What inputs does it use?
  • What output format does it expect?
  • What timeouts are set?

Tests often check things you didn't expect:

  • Exact string matching (whitespace matters!)
  • Specific numeric precision
  • File permissions
  • Process exit codes

Common Verification Failures

What you think is rightWhat the test actually checks
Output on stdoutOutput in a specific file
Human-readable numbersExact decimal precision
Relative file pathsAbsolute file paths
"Close enough" answerExact match
Code that runsCode under a specific size limit

Final Check

Before declaring done, ask yourself:

  1. Did I create/modify ALL the files the task asks for?
  2. Did I use the EXACT paths, names, and formats specified?
  3. Does my code compile/run WITHOUT errors?
  4. Does my output match what automated tests would expect?
  5. Have I cleaned up any debug output or temporary files?

Frequently asked questions

What does the Verification Strategy AI skill do?

Thorough verification of completed work before declaring done

Why use Verification Strategy on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vstorm-co/pydantic-deepagents/tree/main/apps/cli/skills/verification-strategy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Verification Strategy?

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 Strategy?

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

Is the Verification Strategy AI skill free?

Yes. It is published on GitHub by vstorm-co 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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