Doncheli Spec Score

Community

doncheli

doncheli-spec-score

Evaluate the quality of a spec and return a structured score with improvement recommendations. Activate when user mentions "spec quality", "score spec", "how good is my spec", "spec review", "validate spec quality".

Overview

Publisher	doncheli
Repository	`don-cheli-sdd`
Skill name	`doncheli-spec-score`
Stars	59
Forks	12
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 doncheli on GitHub. Read the source before you install it.

Installation

Install the Doncheli Spec Score AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-spec-score
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.

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/doncheli/don-cheli-sdd.git /tmp/don-cheli-sdd
mkdir -p .claude/skills
cp -r /tmp/don-cheli-sdd/.agent/skills/doncheli-spec-score .claude/skills/doncheli-spec-score

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doncheli Spec Score 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 Doncheli Spec Score 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 Doncheli Spec Score 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.

Don Cheli: Spec Score

Instructions

Accept a spec file path or read the current spec from .dc/specs/
Evaluate the spec across 5 dimensions (0–10 each):
- Completeness: all scenarios covered, no missing edge cases
- Clarity: unambiguous language, no "should", "may", "probably"
- Testability: each scenario has a verifiable, binary outcome
- Consistency: no contradictions between scenarios or with existing specs
- Scope control: no out-of-scope behavior mixed in, single responsibility
For each dimension below 7, provide 2–3 specific improvement suggestions with line references
Compute a weighted total score (Completeness 30%, Clarity 25%, Testability 25%, Consistency 10%, Scope 10%)
Assign a grade: A (90-100), B (75-89), C (60-74), D (below 60)
Grade D specs must be improved before implementation — flag as a hard blocker
Optionally save the score card to .dc/spec-scores/<spec-name>-<date>.md

Output Format


## Spec Score — checkout.feature — 2026-03-28

### Scores
| Dimension     | Score | Weight | Weighted |
|--------------|-------|--------|---------|
| Completeness  |   8   |  30%   |   2.4   |
| Clarity       |   6   |  25%   |   1.5   |
| Testability   |   9   |  25%   |   2.25  |
| Consistency   |   7   |  10%   |   0.7   |
| Scope Control |   8   |  10%   |   0.8   |
| **Total**     |       |        | **7.65**|

### Grade: B

### Improvement Suggestions

**Clarity (score: 6)**
- Line 14: "the system should respond quickly" — define SLA (e.g., "within 200ms")
- Line 28: "valid payment method" — list accepted types explicitly

### Verdict
Spec is implementation-ready with minor clarity fixes recommended.

Frequently asked questions

What does the Doncheli Spec Score AI skill do?

Why use Doncheli Spec Score on TypingMind?

Because you install it once and use it with any model. Doncheli Spec Score 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 Doncheli Spec Score in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-spec-score. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Doncheli Spec Score?

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 Doncheli Spec Score?

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

Is the Doncheli Spec Score AI skill free?

Yes. It is published on GitHub by doncheli under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Don Cheli: Spec Score

Instructions

Output Format

Frequently asked questions

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