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Module Source Coverage

Community
WILLOSCAR
module-source-coverage

Use when a tutorial module plan exists and the run needs an auditable module-to-source grounding file before prose.

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namemodule-source-coverage
Stars
513
Forks
39
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Module Source Coverage 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/module-source-coverage
  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/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/module-source-coverage .claude/skills/module-source-coverage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Module Source Coverage 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 Module Source Coverage 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 Module Source Coverage 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.

Module Source Coverage

Triggers & routing

  • Trigger: module coverage, source coverage, tutorial grounding, 模块覆盖, 来源覆盖.
  • Use when: source-tutorial 的 C2,已有 outline/module_plan.yml,需要确认每个模块都能回指到 sources。
  • Skip if: module plan 或 source ingest 不完整。
  • Network: none.
  • Guardrail: 只做 grounding audit,不写教程正文。

Builds outline/source_coverage.jsonl, one coverage record per module.

Inputs

  • outline/module_plan.yml
  • sources/index.jsonl
  • sources/provenance.jsonl

Output

  • outline/source_coverage.jsonl

Contract

Each module record must include:

  • module_id
  • module_title
  • source_ids and/or explicit gaps

Plus exactly one corpus-reconciliation record (record_type: corpus_reconciliation, no module_id) listing ingested_source_ids, attributed_source_ids, and unused_source_ids, with an explicit gaps entry whenever a source was ingested but used by no module. A per-module audit alone cannot surface a source that contributed to zero modules, so this record keeps an unused source explicit instead of silently dropped.

Script boundary

scripts/run.py should:

  • score module-to-source relevance
  • choose a small source set per module
  • record explicit grounding gaps when coverage is weak
  • append the corpus-reconciliation record so unused ingested sources are flagged

Keep text matching and snippet scoring in shared tutorial tooling, not in the wrapper.

Acceptance

  • outline/source_coverage.jsonl exists
  • every module appears exactly once
  • exactly one corpus_reconciliation record accounts for every ingested source
  • missing grounding is explicit instead of silent

Non-goals

  • context pack assembly
  • tutorial prose

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 Module Source Coverage AI skill do?

Use when a tutorial module plan exists and the run needs an auditable module-to-source grounding file before prose.

Why use Module Source Coverage on TypingMind?

Because you install it once and use it with any model. Module Source Coverage 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 Module Source Coverage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/module-source-coverage. 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 Module Source Coverage?

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 Module Source Coverage?

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

Is the Module Source Coverage AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. 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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