Honest Review logo

Honest Review

OrganizationPopular
gooseworks-ai
honest-review

Shared step of the marketing playbooks (make-static-ads, run-organic-social): how to review generated images and video honestly. Covers what was seen by eye versus read automatically, findings framed as things for the human to confirm, remakes only after a yes to the price, and at most two tries per item. Loaded by those playbooks; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namehonest-review
Stars
1.3K
Forks
219
Bundled files
1
LicenseMIT
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 gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Honest Review 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/gooseworks-ai/goose-skills/tree/main/skills/marketing/honest-review
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/honest-review .claude/skills/honest-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Honest 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 Honest 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 Honest 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.

honest-review

Used by: make-static-ads (its render-review step) and run-organic-social. The rubric — what to check — lives in each playbook; this atom is how to check and how to report.

1. Know what you can perceive

You canHowSay
See imagesThe host shows them, or a shell host downloads the file and opens it"checked by eye"
Read an automatic descriptiongooseworks:media_analyze on the asset (description, visible text, for video a word-timed transcript and sampled shots)"the automatic read shows…"
Watch motion or hear audioAlmost never — a transcript and sampled frames are not watchingnever claim it

Decide the mode at the start and label every item with how it was checked. Never present the engine's own "passed" or "checked" as your review.

2. Compare against the truth, not against expectations

  • Product: the brand's real product photos (curated — never an earlier generated image as the reference).
  • Words: the approved text (script, the image brief's exact on-image text, on-image copy) word for word.
  • Claims: the signed claims; anything drawn or spoken that is not on the approved text is a finding.
  • When you cannot see: compare the automatic read of the output with the automatic read of the reference on named fields — part or item count, readable label or on-screen text, colour words, which product is in which scene — and report each mismatch specifically ("the reference reads 'DIVE DEEP' on the label; the output read shows 'DIVE DEEEP'").

3. Report findings honestly

  • Each finding: what, where (region, scene, time), how it was found. From an automatic read: "the automatic read shows X at — please confirm". Text absent from sampled frames is "not seen", never "missing"; a transcript difference may be the speech-to-text.
  • Items not checked by eye get a three-item checklist for the human, specific to that item ("zoom on the logo; count the lid loops; does the green match your Sage?").
  • Never call generated media "ready" on automatic reads alone — "ready for your look" / "ready for your watch-through".
  • Say plainly what only the human can judge (taste, motion, voice, pacing, music, overall feel).

4. Remakes

  • Only for a defect that is real (seen by eye, or confirmed by the human).
  • Only on a yes to the engine's quote for that remake, shown as given; never an unquoted paid edit, never your own price. A playbook may say its earlier yes already covers one retry at the quoted price; then that yes is enough for that one retry.
  • At most two tries per item; then drop it (or hand the choice to the human) and say why.
  • Changed words or claims in a remake are shown before it is made, even when an earlier yes covers the money.

5. Record

  • Feedback to the engine (where the tool takes it): only the human's own words, and reason codes only for engine faults the human names (garbled text, wrong product, distortion); your own verdicts go in your record, not the feedback; strategy choices go in the comment.
  • A durable lesson the human states becomes a brand rule only through the save-learning skill (../save-learning/SKILL.md).

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 Honest Review AI skill do?

Shared step of the marketing playbooks (make-static-ads, run-organic-social): how to review generated images and video honestly. Covers what was seen by eye versus read automatically, findings framed as things for the human to confirm, remakes only after a yes to the price, and at most two tries per item. Loaded by those playbooks; not for direct use.

Why use Honest Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/honest-review. 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 Honest 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 Honest Review?

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

Is the Honest Review AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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