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在 OpenClaw 中安装
/install cross-listing-ai
功能描述
Guide an OpenClaw agent through seller-side cross listing and marketplace-ready listing generation from item photos. Use when the seller wants a listing AI w...
使用说明 (SKILL.md)
OpenClaw Seller Cross Listing AI
Keep the seller experience conversational while you maintain a hidden reviewed-item record.
Non-Negotiables
- Do not invent facts that are not visible in the images or confirmed by the seller.
- Keep the reviewed-item record internal. Surface concise natural-language summaries, not JSON.
- Use this phase flow exactly:
intake -> extract -> clarify -> price -> confirm -> generate -> revise. - Do not enter
priceuntil you have enough identity and condition detail to research comps responsibly. - Do not enter
generateuntil the blocking missing facts are resolved or the seller explicitly chooses to skip a marketplace. - Default pricing posture is
priced to sellunless the seller asks for a different goal. - Only generate
TCGPlayeroutput whencard name,game, andsetare known.
Reference Routing
- Open
references/workflow.mdfirst for the end-to-end seller flow and the hidden reviewed-item record. - Open
references/extraction.mdwhen you are turning images into item facts, condition notes, missing facts, or uncertainties. - Open
references/pricing.mdwhen you are ready to research live comps and suggest a price. - Open
references/final-output.mdimmediately before drafting the final seller-facing response. - Open only the marketplace briefs the seller selected:
references/marketplaces/ebay.mdreferences/marketplaces/mercari.mdreferences/marketplaces/facebook-marketplace.mdreferences/marketplaces/craigslist.mdreferences/marketplaces/tcgplayer.md
- Open
references/examples.mdonly when you need a compact model for tone, sequencing, or edge-case handling.
Working Rules
- Start at
intake: confirm what the item is, what photos are available, which marketplaces the seller wants, and whether they care more about speed or margin. - Move to
extract: inspect the images and build a provisional internal record with facts, missing fields, and uncertainties. - Move to
clarify: ask only the highest-value follow-up questions needed to resolve identity, condition, completeness, and marketplace gating. - Move to
price: use live comps first, then heuristics only when the market data is thin. - Move to
confirm: summarize the reviewed item and price recommendation in prose, then invite corrections. - Move to
generate: produce copy-paste-ready output for each selected marketplace usingreferences/final-output.mdplus the relevant marketplace briefs. - Move to
revise: if the seller changes facts, price, or marketplaces, update the internal record first and regenerate only the affected output.
安全使用建议
This skill is a docs-only assistant for turning seller photos into priced, copy-paste listing text; it doesn't request credentials or install software. Before installing, consider: (1) photos and item details you provide will be used by the agent and any tooling it calls to research comps — don't share sensitive personal data in images or descriptions; (2) the skill drafts listings but does not itself post to marketplaces, so verify content before you publish; (3) the repo contains publish scripts that require developer CLIs (clawhub, npx) — these are for authors, not runtime. If you want tighter control, restrict implicit/autonomous invocation in your agent settings so the skill runs only when you explicitly invoke it.
功能分析
Type: OpenClaw Skill
Name: cross-listing-ai
Version: 0.1.0
The skill bundle is a well-structured framework for an AI agent to assist users with cross-listing items on various marketplaces (eBay, Mercari, etc.). It contains clear operational instructions in SKILL.md and the references/ directory, along with standard shell scripts in the scripts/ folder for publishing the skill to the OpenClaw ecosystem. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found; the 'hidden record' mentioned is a standard state-management pattern for LLM agents.
能力评估
Purpose & Capability
The name/description (turn photos into priced, marketplace-ready listings) matches the SKILL.md and the reference files. No surprising env vars, binaries, or unrelated permissions are requested. The included publish scripts and tests are developer tooling for releasing the skill and are proportionate to a repo intended to be published.
Instruction Scope
SKILL.md and the references limit the agent to an explicit phase flow (intake->extract->clarify->price->confirm->generate->revise) and to keeping an internal reviewed-item record. The instructions expect the agent to inspect images and ask clarifying questions and to use "live comps" via its available tools — this implies the agent may query web resources if the platform provides such tools, but the skill does not itself embed or require external endpoints or secret access. Confirm you are comfortable sharing item photos and seller details with the agent and any tool it may call to fetch comps.
Install Mechanism
No install spec (instruction-only) and nothing is downloaded or installed at runtime. The repository contains developer publish scripts (clawhub, npx) and tests; these are for release flow only and not required for normal skill operation.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content asks the agent to include links 'when available through your tools' but does not request tokens or secrets. This is proportionate to a listing/pricing assistant.
Persistence & Privilege
always is false. The agent metadata sets allow_implicit_invocation: true (per-agent policy), which permits implicit invocation but is expected for many skills; it is not combined with broad credential requests or filesystem/config edits. The skill does instruct keeping an internal reviewed-item record, but that appears to be in-agent memory (no persistence mechanism provided).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install cross-listing-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/cross-listing-ai触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release of cross-listing-ai: a guided workflow for seller-side listing generation and cross-listing.
- Supports listing creation from item photos with conversational steps tailored for eBay, Mercari, Facebook Marketplace, Craigslist, and TCGPlayer.
- Enforces a strict workflow: intake → extract → clarify → price → confirm → generate → revise.
- Provides marketplace-ready, copy-paste listing output; only TCGPlayer output if all required card details are known.
- Prevents invention of facts not found in images or confirmed by the seller.
- Maintains an internal reviewed-item record while surfacing only clear, natural-language summaries to the seller.
- Includes structured reference routing for extraction, pricing, and marketplace-specific guidance.
元数据
常见问题
Cross Listing AI 是什么？
Guide an OpenClaw agent through seller-side cross listing and marketplace-ready listing generation from item photos. Use when the seller wants a listing AI w... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 292 次。
如何安装 Cross Listing AI？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install cross-listing-ai」即可一键安装，无需额外配置。
Cross Listing AI 是免费的吗？
是的，Cross Listing AI 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Cross Listing AI 支持哪些平台？
Cross Listing AI 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Cross Listing AI？
由 Aryan J（@aryanj-nyc）开发并维护，当前版本 v0.1.0。
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