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Solution Debranding Verify

Community
lshade
solution-debranding-verify

Independently verify a solution-debranding plan with full scans, relevant tests, two-brand checks, and explicit residual risk. Use when the user asks whether debranding is complete, correct, or safe to release. Reports failures and never remediates them.

Overview

Publisherlshade
Repositorysolution-debranding
Skill namesolution-debranding-verify
Stars
4
Forks
0
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 lshade on GitHub. Read the source before you install it.

Installation

Install the Solution Debranding Verify 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/lshade/solution-debranding/tree/main/skills/solution-debranding-verify
  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/lshade/solution-debranding.git /tmp/solution-debranding
mkdir -p .claude/skills
cp -r /tmp/solution-debranding/skills/solution-debranding-verify .claude/skills/solution-debranding-verify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Solution Debranding Verify 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 Solution Debranding Verify 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 Solution Debranding Verify 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.

Solution Debranding Verify

Verify completion without silently remediating findings.

Steps

  1. Resolve the primary solution-debranding plan from the supplied path or a unique active plan under the configured ARTIFACT_ROOT.
  2. Read the plan, then read the shared workflow package and follow its Verify contract with MODE=verify.
  3. Run the full debranding scan with --fail-on-blocking, every confirmed identity-map term, and --summary. Any nonzero result blocks verification. Confirm the scan reports no unreviewed UUID-shaped literals in any text format and no tenant-specific Microsoft authority. Run readiness scans plus the tests and builds relevant to detected repository surfaces. Render configuration or infrastructure only when present. When branding is in scope, validate both fictional brand profiles, including their palette, typeface, and logo assets when those visual surfaces exist. When a design system is declared in the plan, confirm rendered output uses only tokens from that system and flag raw values that bypass the token layer. Where authentication is in scope, verify source precedence, redacted failure states, provider routing, and credential refresh or rotation without restart when hot reload is promised. Include a negative test proving no provider credential is sent to another destination.
  4. For public release, verify the recorded history-scan decision, clean-clone workflow, and disposition of external surfaces. Do not modify those surfaces.
  5. Verify only the tracks the plan owns. Report referred findings as handed over and unverified rather than as failures of this run.
  6. Update the plan's ## Validation section and status with reproducible evidence, exclusions, residual risk, and a clear pass, blocked, or failed verdict.
  7. Do not fix failures. Report them and stop. Remediation belongs to solution-debranding-apply on a planned unit.

Response Format

Return no more than eight short lines of prose containing the verdict, the tracks it covers, failed or excluded checks, plan link, and the exact next step when remediation remains. A pass verdict must name its tracks, because a reader who sees only "pass" will take it for a whole-repository clearance.

Frequently asked questions

What does the Solution Debranding Verify AI skill do?

Independently verify a solution-debranding plan with full scans, relevant tests, two-brand checks, and explicit residual risk. Use when the user asks whether debranding is complete, correct, or safe to release. Reports failures and never remediates them.

Why use Solution Debranding Verify on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lshade/solution-debranding/tree/main/skills/solution-debranding-verify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Solution Debranding Verify?

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 Solution Debranding Verify?

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

Is the Solution Debranding Verify AI skill free?

Yes. It is published on GitHub by lshade 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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