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sealeap-qiongqi-amazon-sp-audience-bid-adjust

100 / 100 · Low risk

Fine to try.

By xjli360/sealeap-amazon-skills (GitHub) · marketing · 409 stars · scanned at commit 1283764

Test Amazon Sponsored Products audience bid adjustments (brand purchasers, high-purchase-likelihood shoppers, cart or click non-buyers) as an evidence-gated layer on existing targeting, comparing audience-segment ACOS against the campaign baseline before scaling. Use for SP 受众竞价、受众加价怎么设、再营销受众、高购买意向受众、加购未购买受众、受众层 ACOS 对比. Do not use as a replacement for keyword or product targeting, or to scale modifiers without segment-level data.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'sealeap-qiongqi-amazon-sp-audience-bid-adjust' ] || [ -L ~/.agents/skills/'sealeap-qiongqi-amazon-sp-audience-bid-adjust' ]; then echo 'A skill folder named sealeap-qiongqi-amazon-sp-audience-bid-adjust already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/xjli360/sealeap-amazon-skills' "$d" && git -C "$d" checkout --quiet '1283764556e61cbe56c600bbe504b8731b2254cb' -- 'amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-sp-audience-bid-adjust' && mkdir -p ~/.agents/skills && cp -R "$d"/'amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-sp-audience-bid-adjust' ~/.agents/skills/'sealeap-qiongqi-amazon-sp-audience-bid-adjust' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'sealeap-qiongqi-amazon-sp-audience-bid-adjust' ~/.claude/skills/'sealeap-qiongqi-amazon-sp-audience-bid-adjust' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-071283764100