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Iso 24495 Text Audit

Community
GaZmagik
iso-24495-text-audit

Audit user-selected Markdown or text files for deterministic plain-language findings. Use only when the user explicitly invokes this skill.

Overview

PublisherGaZmagik
Repositoryiso-24495
Skill nameiso-24495-text-audit
Stars
199
Forks
11
Bundled files
3
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Iso 24495 Text Audit 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/GaZmagik/iso-24495/tree/main/skills/iso-24495-text-audit
  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/GaZmagik/iso-24495.git /tmp/iso-24495
mkdir -p .claude/skills
cp -r /tmp/iso-24495/skills/iso-24495-text-audit .claude/skills/iso-24495-text-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iso 24495 Text Audit 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 Iso 24495 Text Audit 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 Iso 24495 Text Audit 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.

ISO 24495 Text Audit

Audit only the path the user selects. Report mechanical findings so the user can decide whether the text suits its readers and purpose.

Language and input scope

The audit is written for English and supports English only. The skills and output style are instructions a model interprets, so they are not limited to English in the same way.

Its word rules match English words and phrases: legalese, doublet, wordy-phrase, filler-opening, complex-word, double-negative, and the phrases link-text looks for. The filler-opening rule checks only the opening prose. The link-text rule also flags empty labels and labels that are bare web addresses.

Five word rules read headings as well as prose: legalese, doublet, wordy-phrase, complex-word, and double-negative. The rules about sentences and paragraphs read prose only, because a heading is not a sentence.

The sentence-length and sentence-average rules count words separated by whitespace, including spaces and line breaks, and use English benchmarks. The paragraph-length rule counts sentences, with a limit of five.

The prose-enumeration rule flags three or more distinct ranks in a prose block, including rank one. It recognises English ordinal words and numbered markers from one to six.

The audit reads Markdown as written and does not interpret raw HTML. It sets HTML tags aside and reads the text between them, even where GitHub would hide or change that text.

Workflow

  1. Read the path from $ARGUMENTS. Ask for a path when none was supplied.
  2. Resolve the audit script relative to this SKILL.md file.
  3. State the selected file or directory before running the script.
  4. Treat an explicitly supplied directory as approval to read that directory.
  5. Ask before expanding the audit beyond the supplied path.
  6. Run the script with Bun:
text
bun <skill-directory>/scripts/audit-text-cli.ts <file-or-directory> --project-dir <project-directory>

Add --no-front-matter for text that cannot carry metadata, such as a pull request description. A leading --- block is then read as text, not set aside as front matter.

  1. Report every finding with its file, line, rule, and explanation.
  2. Report skipped or unreadable entries. Never treat an incomplete audit as clean.
  3. Explain that findings are mechanical proxies, not an ISO judgement.
  4. Leave the final decision and any rewriting request to the user.

Boundaries

  • Read .md, .markdown, and .txt files only.
  • Do not follow a selected or nested symbolic link or directory junction. Report each one as skipped.
  • Do not alter the selected text unless the user separately requests changes.
  • Do not create a report file unless the user requests one and names its location.
  • Do not describe zero findings as proof that text is valid, compliant, or suitable.
  • Use the relevant sector skill when interpreting findings in legal, technical, scientific, or designed documents.

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 Iso 24495 Text Audit AI skill do?

Audit user-selected Markdown or text files for deterministic plain-language findings. Use only when the user explicitly invokes this skill.

Why use Iso 24495 Text Audit on TypingMind?

Because you install it once and use it with any model. Iso 24495 Text Audit 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 Iso 24495 Text Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GaZmagik/iso-24495/tree/main/skills/iso-24495-text-audit. 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 Iso 24495 Text Audit?

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 Iso 24495 Text Audit?

As many as you like. As long as a model supports skills, you can use Iso 24495 Text Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Iso 24495 Text Audit AI skill free?

Yes. It is published on GitHub by GaZmagik 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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