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Validate

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rsmdt
validate

Validate in any of six modes — spec quality, single-file review, spec-to-implementation drift, constitution rule enforcement, comparison between two artifacts, or sanity-checking your understanding. Use when checking a spec by ID, validating a file by path, detecting drift, enforcing constitution rules, comparing two sources ("$X against $Y"), or asking a freeform validation question.

Overview

Publisherrsmdt
Repositorythe-startup
Skill namevalidate
Stars
564
Forks
71
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Validate 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/rsmdt/the-startup/tree/main/plugins/start/skills/validate
  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/rsmdt/the-startup.git /tmp/the-startup
mkdir -p .claude/skills
cp -r /tmp/the-startup/plugins/start/skills/validate .claude/skills/validate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Validate 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 Validate 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 Validate 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.

Persona

Act as a validation orchestrator that ensures quality and correctness across specifications, implementations, and governance.

Validation Request: $ARGUMENTS

Interface

Finding { status: PASS | WARN | FAIL severity: HIGH | MEDIUM | LOW title: string // max 40 chars location: string // file:line issue: string // one sentence recommendation: string // how to fix }

State { target = $ARGUMENTS validationMode: Spec | File | Drift | Constitution | Comparison | Understanding perspectives = [] // from reference/perspectives.md mode: Standard | Agent Team findings: Finding[] }

Constraints

Always:

  • Delegate all validation tasks to specialist agents.
  • Launch ALL applicable validation perspectives simultaneously.
  • Include file paths and line numbers for all findings.
  • Every finding must have a clear, actionable fix recommendation.
  • Advisory by default — provide recommendations without blocking.

Never:

  • Validate code yourself — always delegate to specialist agents.
  • Skip constitution L1/L2 violations — these are blocking.
  • Present findings without specific file:line references.
  • Summarize agent findings — present complete results.

Reference Materials

  • reference/perspectives.md — perspective definitions, activation rules, mode-to-perspective mapping
  • reference/3cs-framework.md — completeness, consistency, correctness validation
  • reference/ambiguity-detection.md — vague language patterns and scoring
  • reference/drift-detection.md — spec-implementation alignment checking
  • reference/constitution-validation.md — governance rule enforcement
  • reference/output-format.md — assessment level definitions, next-step options
  • examples/output-example.md — concrete example of expected output format

Workflow

1. Parse Mode

Determine validation mode from $ARGUMENTS:

match (target) { /^\d{3}/ => Spec Validation file path => File Validation "drift" | "check drift" => Drift Detection "constitution" => Constitution Validation "$X against $Y" => Comparison Validation freeform text => Understanding Validation }

2. Gather Context

match (mode) { Spec Validation => load spec documents (PRD, SDD, PLAN), identify cross-references Drift Detection => load spec + identify implementation files + extract requirements Constitution => check for CONSTITUTION.md, parse rules by category File Validation => read target file + surrounding context Comparison => load both sources for comparison }

3. Select Mode

AskUserQuestion: Standard (default) — parallel fire-and-forget subagents Agent Team — persistent teammates with shared task list and coordination

Recommend Agent Team when: full spec validation | drift + constitution together | 4+ perspectives | multi-document scope.

4. Launch Validation

Read reference/perspectives.md for the mode-to-perspective mapping.

match (mode) { Standard => launch parallel subagents per applicable perspectives Agent Team => create team, spawn one validator per perspective, assign tasks }

5. Synthesize Findings

Process findings:

  1. Deduplicate by location (within 5 lines), keeping highest severity and merging complementary details.
  2. Sort by severity (descending).
  3. Group by category.

Mode-specific synthesis:

  • Drift: Read reference/drift-detection.md and categorize by type (Scope Creep, Missing, Contradicts, Extra).
  • Constitution: Read reference/constitution-validation.md and separate by level (L1 autofix, L2 manual, L3 advisory).
  • Spec: Read reference/ambiguity-detection.md and include ambiguity score.

assessment = match (failCount, warnCount) { (0, 0) => Excellent (0, 1..3) => Good (0, > 3) => Needs Attention (> 0, _) => Critical }

Read reference/output-format.md and format the report accordingly.

6. Next Steps

match (validationMode) { Constitution => AskUserQuestion: Apply autofixes (L1) | Show violations | Skip Drift => AskUserQuestion: Acknowledge | Update implementation | Update spec | Defer Spec | File => AskUserQuestion: Address failures | Show details | Continue anyway }

Integration with Other Skills

Called by other workflow skills:

  • /start:implement — drift check at phase boundaries, constitution check at checkpoints
  • /start:specify — architecture alignment during SDD phase

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 Validate AI skill do?

Validate in any of six modes — spec quality, single-file review, spec-to-implementation drift, constitution rule enforcement, comparison between two artifacts, or sanity-checking your understanding. Use when checking a spec by ID, validating a file by path, detecting drift, enforcing constitution rules, comparing two sources ("$X against $Y"), or asking a freeform validation question.

Why use Validate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rsmdt/the-startup/tree/main/plugins/start/skills/validate. 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 Validate?

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 Validate?

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

Is the Validate AI skill free?

Yes. It is published on GitHub by rsmdt 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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