# Honest Review

Shared step of the marketing playbooks (make-static-ads, run-organic-social): how to...

- Repository: https://github.com/gooseworks-ai/goose-skills (1276 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add gooseworks-ai/goose-skills --skill honest-review -g -a claude-code -y`
Codex: `npx skills add gooseworks-ai/goose-skills --skill honest-review -g -a codex -y`
Cursor: `npx skills add gooseworks-ai/goose-skills --skill honest-review -g -a cursor -y`
Gemini CLI: `npx skills add gooseworks-ai/goose-skills --skill honest-review -g -a gemini-cli -y`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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 can | How | Say |
|---|---|---|
| See images | The host shows them, or a shell host downloads the file and opens it | "checked by eye" |
| Read an automatic description | `gooseworks: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 audio | Almost never, a transcript and sampled frames are not watching | never 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

The rest: https://github.com/gooseworks-ai/goose-skills/blob/HEAD/skills/marketing/honest-review/SKILL.md