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BB product-photo-studio

Transform a real product photo into a studio-quality ecommerce image, lifestyle scene, or marketplace-ready hero shot. This AI product photography tool replaces backgrounds, improves lighting, and stages scenes while using the source photo and confirmed product details as the visual anchor. Create clean white-background listings, contextual lifestyle compositions, and premium ad visuals from a single phone snap for Amazon, Taobao, Shopify, and social media. Start from one product photo, combine several references, or refine a selected draft toward a polished listing image.

ClawHub Agent Skills author: beatra-ai v0.1.9 MIT-0 17 files body ≈ 2 144 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Transform a real product photo into a studio-quality ecommerce image, lifestyle scene, or marketplace-ready hero shot.

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorShopifyMarketingCommercetype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 67/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2144 tokens
  • 100Running it twice. Mutating operations check current state

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 579: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (11 of 11)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This product-photo skill mostly does what it advertises, but it also grants and keeps broad Beatra account authority and silently self-updates its own package files.
LLM: suspicious (high) · 28 Aug 2026