Agent Marketplace Listing Optimizer 20260818 — Release Notes
What it does
Agent Marketplace Listing Optimizer helps publishers improve buyer-facing marketplace listings before release. It checks redacted listing notes for buyer persona, problem statement, outcome claim, evidence, feature boundaries, permissions, install steps, support obligations, monetization terms, metadata, search keywords, and version policy.
The output helps teams move from vague listing copy to a clearer, more trustworthy product card. It is advisory and read-only, so it can be used safely during pre-release review.
Use cases
- Skill publishers preparing a marketplace card, detail page, or launch description.
- Marketing reviewers checking that claims, keywords, and use cases are backed by evidence.
- Marketplace operators standardizing listing quality before handoff to packaging and storefront teams.
Requirements
- Python 3 with standard-library modules only.
- Redacted listing notes supplied through `--text` or a single local `--notes` file.
- No API keys required.
- OpenClaw workspace capable of running local skill scripts.
Example usage
python3 scripts/agent_marketplace_listing_optimizer.py --text "buyer persona defined; problem statement clear; outcome claim evidence-backed; evidence reference included; feature boundary documented; permission note included; install steps listed; support obligation assigned; monetization terms clear; marketplace metadata complete; search keywords chosen; version policy documented" --json
Expected output: JSON with a listing quality verdict, matched marketplace signals, improvement gaps, and `mutated_files: []`.
Price
$4.99