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Verify This

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AnastasiyaW
verify-this

Prove a concrete behavior, performance, UI, CLI, API, or memory claim with fresh baseline-versus-treatment evidence and one explicit verdict. Use when asked to verify, prove, compare before and after, show evidence, or confirm that a fix works. Do not use for vague claims such as cleaner code, a full plan-based release verification, or a known bug that needs a red-to-green reproducer.

Overview

PublisherAnastasiyaW
Repositorycodex-claude-code-config
Skill nameverify-this
Stars
212
Forks
32
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 AnastasiyaW on GitHub. Read the source before you install it.

Installation

Install the Verify This 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/AnastasiyaW/codex-claude-code-config/tree/main/skills/development/verify-this
  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/AnastasiyaW/codex-claude-code-config.git /tmp/codex-claude-code-config
mkdir -p .claude/skills
cp -r /tmp/codex-claude-code-config/skills/development/verify-this .claude/skills/verify-this
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verify This 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 Verify This 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 Verify This 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.

Verify This

Verification is a falsifiable comparison, not a recap of what the agent believes it changed. Turn one claim into a measurable check and preserve enough evidence for another agent to repeat it.

Workflow

  1. Restate the claim as a condition, metric, and threshold. If the claim cannot be measured, ask for a measurable form or classify it as INCONCLUSIVE.
  2. Select the smallest local surface that can disprove it.
  3. Capture a baseline from the parent commit, merge base, current failing reproducer, or unchanged fixture.
  4. Capture treatment with the same command, data, warmup, environment, and measurement method.
  5. Compare raw artifacts: test output, timings, screenshots, HTTP responses, traces, profiles, or heap snapshots. Do not compare summaries alone.
  6. Return exactly one verdict: VERIFIED, NOT VERIFIED, or INCONCLUSIVE.

Evidence Contract

Record:

  • claim and threshold;
  • revision or baseline identity for both runs;
  • frozen contract and stage identity when this result will feed later work;
  • exact commands and input fixture;
  • environment differences and skipped checks;
  • artifact paths or hashes, with sensitive payloads kept outside public Git;
  • the verdict and one short explanation of confounders.

For durable project work, use the repository's existing proof artifact location, for example .agent/tasks/<task-id>/verification/<claim-slug>/. Temporary or sensitive evidence may stay outside the repository; retain only safe metadata and hashes in the project. Never put credentials, private prompts, customer data, or heap contents in a public checkout.

Verdict Rules

  • VERIFIED: baseline and treatment move in the predicted direction, meet the stated threshold, and have no material confound.
  • NOT VERIFIED: behavior is unchanged, moves the wrong way, or misses the threshold.
  • INCONCLUSIVE: there is no valid baseline, the signal is too noisy, the command failed, or the environments are not comparable.

Use this output shape:

text
VERIFIED | NOT VERIFIED | INCONCLUSIVE
Claim: <falsifiable claim>
Evidence:
<artifact or metric>: baseline=<...>, treatment=<...>, delta=<...>, threshold=<...>
Reasoning:
<one tight paragraph naming evidence and confounders>

Boundaries

  • Use proof-verify when the work has frozen multi-criterion acceptance criteria and needs a fresh-context verifier.
  • When the claim becomes an input to another stage, seal it in .proof/stage-ledger.json with the exact commit/tree and input/output digests. A changed contract, source, or input invalidates that claim; an unavailable later environment does not.
  • Use bug-reproducer when a concrete defect needs a minimal red-to-green test and separate approval gates.
  • Use testing-strategy to choose test levels before running this comparison.
  • A single green test is not enough for a performance, release, UI, or memory claim unless it is the stated evidence surface.

Gotchas

  • A different fixture, warm cache, compiler, or machine can invalidate a baseline comparison; report it instead of smoothing it away.
  • A missing baseline is not a passing baseline. Use INCONCLUSIVE.
  • A test can pass while user-visible behavior remains wrong; use the real CLI, browser, API, or artifact boundary when that is the claim.
  • Do not turn a failed comparison green with retries, wider tolerances, or a changed workload unless the claim itself was explicitly re-scoped.

Troubleshooting

SymptomLikely causeAction
No comparable baselineParent state or repro is unavailableReport INCONCLUSIVE; capture a new baseline before changing the claim
Results vary between runsWarmup, shared state, timing noise, or nondeterminismFix isolation and repeat with a fixed workload; record variance
Treatment passes but claim is still doubtfulWrong evidence surfaceMove to the real boundary or add one focused integration/UI/CLI check
Evidence contains sensitive dataRaw artifact is not suitable for GitKeep it private and record only safe metadata or a hash

Source

Adapted from Cursor Team Kit's MIT-licensed verify-this workflow: https://github.com/cursor/plugins/tree/main/cursor-team-kit/skills/verify-this

Frequently asked questions

What does the Verify This AI skill do?

Prove a concrete behavior, performance, UI, CLI, API, or memory claim with fresh baseline-versus-treatment evidence and one explicit verdict. Use when asked to verify, prove, compare before and after, show evidence, or confirm that a fix works. Do not use for vague claims such as cleaner code, a full plan-based release verification, or a known bug that needs a red-to-green reproducer.

Why use Verify This on TypingMind?

Because you install it once and use it with any model. Verify This 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 Verify This in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/development/verify-this. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Verify This?

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 Verify This?

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

Is the Verify This AI skill free?

Yes. It is published on GitHub by AnastasiyaW 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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