Completeness Auditor

CommunityPopular

zhnnky329

completeness-auditor

Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

Overview

Publisher	zhnnky329
Repository	`MathModeling-skills`
Skill name	`completeness-auditor`
Stars	1.1K
Forks	42
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 zhnnky329 on GitHub. Read the source before you install it.

Installation

Install the Completeness Auditor 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/zhnnky329/MathModeling-skills/tree/main/.claude/skills/completeness-auditor
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/completeness-auditor

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/zhnnky329/MathModeling-skills.git /tmp/MathModeling-skills
mkdir -p .claude/skills
cp -r /tmp/MathModeling-skills/.claude/skills/completeness-auditor .claude/skills/completeness-auditor

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

Use it in TypingMind

Enable Completeness Auditor 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 Completeness Auditor 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 Completeness Auditor 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.

Purpose

Check deliverable evidence, not whether every invoked skill left a ceremonial report.

Lean Checks

Per active Qx, require as applicable:

manifest;
method card;
human decision ledger;
risk-probe summary;
latest run summary.

Lean completeness does not require final reports, freeze, paper, or G6 artifacts.

Submission Checks

Per Qx require:

final method explanation;
current language review JSON with all required named checks passing;
final result analysis;
robustness report;
solution package;
current frozen numbers;
paper section and referenced figures.

Globally require symbol table, assumptions, references, consistency audit, completeness audit, and QA report.

Workflow

Read rigor_profile.
Resolve active Qx from manifests or artifacts.
Check required artifacts and semantic fields.
Check staleness only against materially cited evidence.
Accept documented legacy equivalents during migration.
Save paper/audits/completeness_audit.md only in submission/final mode.

Status

PRESENT: required evidence exists and is current.
MISSING: required evidence absent.
INSUFFICIENT: artifact exists but required semantic fields/checks are missing.
STALE: cited material evidence changed after approval/review.
NOT_APPLICABLE: justified by task/profile.

Rules

Do not require ≥5 prose pass items.
Do not require a report just because a skill ran.
Do not mark a decision stale for unrelated code, formatting, or file changes.
Do not treat legacy artifact count as proof of semantic completeness.
Do not repair artifacts during audit.

Verification

Requirements match the active profile.
Every gap names the missing evidence and producer/owner.
Staleness links to a material changed source.
Final verdict is PASSED only when all submission requirements are satisfied.

Frequently asked questions

What does the Completeness Auditor AI skill do?

Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.

Why use Completeness Auditor on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/completeness-auditor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Completeness Auditor?

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 Completeness Auditor?

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

Is the Completeness Auditor AI skill free?

Yes. It is published on GitHub by zhnnky329 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Purpose

Lean Checks

Submission Checks

Workflow

Status

Rules

Verification

Frequently asked questions

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