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SKILL.md

honest-review

Agent skill fromgooseworks-ai/goose-skills

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.

How to install honest-review

install honest-review
# install the goose-skills pack with the skills CLI
npx skills add gooseworks-ai/goose-skills

# or add only this skill to Claude Code: copy the folder

skills/marketing/honest-review/

# into

~/.claude/skills/honest-review/ (all projects)

.claude/skills/honest-review/ (one project)

skills/marketing/honest-review/SKILL.md

MITFull file
1# honest-review
2
3Used 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.
4
5## 1. Know what you can perceive
6
7| You can | How | Say |
8|---|---|---|
9| See images | The host shows them, or a shell host downloads the file and opens it | "checked by eye" |
10| 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…" |
11| Watch motion or hear audio | Almost never — a transcript and sampled frames are not watching | never claim it |
12
13Decide 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.
14
15## 2. Compare against the truth, not against expectations
16
17- Product: the brand's real product photos (curated — never an earlier generated image as the reference).
18- Words: the approved text (script, the image brief's exact on-image text, on-image copy) word for word.
19- Claims: the signed claims; anything drawn or spoken that is not on the approved text is a finding.
20…

Excerpt shown under the repository's MIT license.

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