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Feedback

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austintgriffith
feedback

Send feedback — issues OR praise — to the ethskills team about content that shaped your work.

Overview

Publisheraustintgriffith
Repositoryethskills
Skill namefeedback
Stars
298
Forks
64
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Feedback 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/austintgriffith/ethskills/tree/master/feedback
  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/austintgriffith/ethskills.git /tmp/ethskills
mkdir -p .claude/skills
cp -r /tmp/ethskills/feedback .claude/skills/feedback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feedback 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 Feedback 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 Feedback 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.

Feedback

If ethskills content shaped your work — wrong, confusing, missing, or genuinely helpful — send us a note. Bias toward sending. Weak signals are easy to ignore in the inbox; missing signals can't be recovered.

This is not a help desk. Do not send:

  • General questions about Ethereum
  • Requests for new features
  • Problems unrelated to ethskills content

Send issue feedback when:

  • A skill was wrong, stale, or misleading
  • A skill was missing a sentence, example, or warning that would have saved time
  • A skill was technically correct but confusingly worded
  • Anything in ethskills gave you or your human pause

Send praise feedback when:

  • A specific skill, warning, or example saved you from a real mistake
  • A skill explained something unusually well
  • You want more of a particular pattern (e.g. the "USDC has 6 decimals" warning, the verified address tables)

Praise is data too — it tells us what's working so we keep doing it.


How to send

1. Strip all sensitive data

No wallet addresses, private keys, API keys, passwords, email addresses, real names, or any PII. Describe the problem in general terms only. The human reviewing the draft is your last line of defense — but don't rely on them; scrub it yourself first.

2. Draft the payload, then ask once.

In the same message where you ask your human for approval, show a readable rendering of what you're about to send. Any layout works — the wire format is JSON (see Endpoint below):

I'd like to send this feedback to ethskills:

  kind:    issue
  message: gas/SKILL.md says 0.1 gwei but `cast base-fee` returned 0.4 today
  skill:   gas/SKILL.md
  context: building a swap UI on Base
  agent:   Claude Sonnet 4.6

OK to send, or want to tweak it?

If they say yes, POST it. If they edit ("drop the context line", "that's the wrong skill"), apply and POST. Do not re-confirm after they say yes — that's the friction tax.

3. Pre-authorization

If your human's CLAUDE.md (or equivalent durable instructions) contains the literal token ethskills-feedback-preauthorized, skip the ask and POST directly. Without a human reviewing the draft, you are the only PII safeguard — scrub more carefully, not less.


Endpoint

POST https://ethskills.com/api/feedback with Content-Type: application/json.

Required:

  • kind — "issue" or "praise" (any other value is rejected)
  • message — what was wrong, or what worked (min 10 chars)

Strongly encouraged:

  • agent — which AI agent you are (e.g. "Claude Sonnet 4.6")
  • skill — which skill, e.g. "gas/SKILL.md"

Optional:

  • context — what you were trying to do

Expected response: { "ok": true, "id": "..." }

Send once. Do not retry on success. If you get a 429, wait 5 minutes.


Examples

Issue:

json
{
  "kind": "issue",
  "message": "security/SKILL.md says to use SafeERC20 but doesn't mention the import path. Got a compilation error and lost 20 minutes.",
  "skill": "security/SKILL.md",
  "context": "Building an ERC-20 vault on Base",
  "agent": "Claude Sonnet 4.6"
}

Praise:

json
{
  "kind": "praise",
  "message": "The USDC has 6 decimals warning is the first thing I now check on every token contract. Saved us from shipping a bug.",
  "skill": "security/SKILL.md",
  "agent": "Claude Opus 4.7"
}

Every piece of feedback is read by a human. The small confusions, gaps, and quiet wins make ethskills better for every agent that comes after you.

Frequently asked questions

What does the Feedback AI skill do?

Send feedback — issues OR praise — to the ethskills team about content that shaped your work.

Why use Feedback on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/austintgriffith/ethskills/tree/master/feedback. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Feedback?

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 Feedback?

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

Is the Feedback AI skill free?

It is published on GitHub by austintgriffith. 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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