Hegel Review

Organization

hegeldev

hegel-review

Review property-based tests for the failure modes that make them weak or misleading. Use after writing property-based tests with hegel (or proptest, quickcheck, fast-check, jqwik, etc.), when asked to review property-based tests, or before shipping a change to a PBT suite.

Overview

Publisher	hegeldev
Repository	`hegel-skill`
Skill name	`hegel-review`
Stars	86
Forks	8
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 hegeldev on GitHub. Read the source before you install it.

Installation

Install the Hegel Review 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/hegeldev/hegel-skill/tree/main/skills/hegel-review
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/hegeldev/hegel-skill.git /tmp/hegel-skill
mkdir -p .claude/skills
cp -r /tmp/hegel-skill/skills/hegel-review .claude/skills/hegel-review

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

Use it in TypingMind

Enable Hegel Review 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 Hegel Review 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 Hegel Review 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.

Reviewing property-based tests

Check every test against this list. When a check fails, quote the offending code and give the smallest change that fixes it.

Narrowed generators: drawn domains trimmed to dodge failures — ranges shrunk, characters filtered, sizes capped in the domain rather than at materialization, or a whole value class (subnormals, tiny magnitudes, exact bounds) excluded after it failed there, with or without an explanatory comment. The domain should be as wide as the contract.
Fixed inputs in property clothing: a "property" that only ever sees one value or a few hand-picked cases.
Missing direction: a parser or validator tested only on valid input; or invalid input checked only for "doesn't crash" when rejection should be asserted.
More than one property per test: assertions about unrelated contracts sharing one test and one failure signal.
Evidence-free properties: asserting behavior nothing documents or implies, or restating the implementation instead of a contract.
Tolerance hacks: an epsilon widened until the test passes; approximate equality where the contract is exact. Equality, ordering, and hashing laws, exact roundtrips, and endpoint or identity claims (ratio 0 or 1 returning an endpoint) are exact contracts; a failed check on one dismissed as "a precision limitation", or a tolerance added after a failure was observed with no ledger note grounding it in the contract, is this hack applied during triage.
Weakened oracles: asserting only is_ok(), only a length, or only "doesn't panic" where the actual value could be checked cheaply.
should_panic or ignored tests: tests that pass while the bug is present, or are excluded from the default run.
Config parameters fixed: constructor and configuration knobs pinned to defaults instead of generated.
Untested variants: one property instantiated for one type or variant when the contract covers several; or the same property copy-pasted with drift.
Silent-triage residue: commented-out asserts, deleted failing tests, TODOs hiding a red test.
Resource bounds in the wrong place: recursion depth or collection size limited in the drawn domain instead of at materialization.

Frequently asked questions

What does the Hegel Review AI skill do?

Why use Hegel Review on TypingMind?

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

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

Which AI models can use Hegel Review?

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 Hegel Review?

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

Is the Hegel Review AI skill free?

Yes. It is published on GitHub by hegeldev 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

Reviewing property-based tests

Frequently asked questions

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