Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zach22-1999/lingxing-mcpnpx agentmods add skills/zach22-1999/lingxing-mcp/zach-lingxing-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zach22-1999/lingxing-mcp/zach-lingxing-mcp)<a href="https://agentmods.dev/skills/zach22-1999/lingxing-mcp/zach-lingxing-mcp"><img src="https://agentmods.dev/badge/skills/zach22-1999/lingxing-mcp/zach-lingxing-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zach22-1999/lingxing-mcp/zach-lingxing-mcp"><img src="https://agentmods.dev/badge/skills/zach22-1999/lingxing-mcp/zach-lingxing-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.01103 |
| Opus 5 | $0.00041 | $0.00551 |
| Sonnet 5 | $0.00016 | $0.00221 |
| Haiku 4.5 | $0.00008 | $0.00110 |
Grade A, and why
zach-lingxing-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
本机直连停用 / 固定出口模式可用:领星 OpenAPI 因 IP 白名单限制,本地环境无法直接访问。 如已部署固定出口网关并将
EIP加入白名单,可继续使用本 Skill。 未部署前,需要亚马逊经营数据时请优先改用 Amazon SP-API(MCP:amazon-api)。
本公开版 Skill 是自包含的,不依赖任何私有工作区文件或内部协议。
领星 MCP 运维 Skill
核心用途
- 配置固定出口网关上的领星 MCP
- 配置带 Bearer 的团队
HTTP版领星 MCP - 配置 Tailscale + SSH Tunnel 访问
- 了解有哪些
lingxing_*工具可调用 - 排查环境变量、Bearer、权限、授权有效期和 IP 白名单问题
关键位置
mcp-servers/lingxing-openapi/server.pymcp-servers/lingxing-openapi/http_server.pymcp-servers/lingxing-openapi/README.mdmcp-servers/lingxing-openapi/deploy/lib/lingxing_openapi/mcp.py
环境变量
LINGXING_APP_IDLINGXING_APP_SECRETLINGXING_TOKEN_CACHE_FILELINGXING_MCP_BEARER_TOKENLINGXING_MCP_HOSTLINGXING_MCP_PORT
常用命令
python3 mcp-servers/lingxing-openapi/server.py
python3 mcp-servers/lingxing-openapi/http_server.py --host 127.0.0.1 --port 8099
python3 skills/zach-lingxing-openapi-client/scripts/smoke_check.py
bash mcp-servers/lingxing-openapi/deploy/deploy_gateway_via_ssh.sh --help
bash mcp-servers/lingxing-openapi/deploy/install_tailscale_via_ssh.sh --help
bash mcp-servers/lingxing-openapi/deploy/install_tailscale_on_ubuntu.sh --help
bash mcp-servers/lingxing-openapi/deploy/open_ssh_tunnel.sh --help
bash mcp-servers/lingxing-openapi/deploy/install_gateway_on_ubuntu.sh --help
工具清单
lingxing_health_checklingxing_seller_listslingxing_marketplaceslingxing_store_saleslingxing_asin_daily_listslingxing_product_performancelingxing_orderslingxing_promotion_listinglingxing_promotion_sec_killlingxing_promotion_managelingxing_promotion_vip_discountlingxing_promotion_couponlingxing_resolve_daily_promotionslingxing_ad_accountslingxing_ads_sp_*lingxing_ads_sd_*lingxing_ads_sb_*lingxing_profit_sellerlingxing_profit_asinlingxing_profit_parent_asinlingxing_source_*lingxing_fba_*lingxing_replenishment_*lingxing_report_export_*lingxing_asin_ads_daily_rolluplingxing_asin_weekly_rolluplingxing_exp_*lingxing_smoke_check
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 106 lines · 81 tokens per session scan A 871fe02a9b9f
zach-lingxing-mcp is a skill published in the GitHub repository zach22-1999/lingxing-mcp (41 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 1,103 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
zach-product-research
A Sorftime-based product research skill for finding Amazon market opportunities and deciding whether a new product is worth pursuing. Sorftime is a market-research data source for Amazon sellers.
zach-seller-skill-creator
A Chinese-language guide for Amazon sellers who want to turn repeated work processes into reusable skills for an AI agent.
zach-feature-demand-validator
A research skill for checking whether a small product improvement matches real customer demand. It compares product reviews, search keywords, and discussions in online communities.
zach-listing-health-checker
An Amazon listing health checker that examines a product page as a shopper would see it, including visibility, price, seller, cart, delivery, category, rank, reviews, and search visibility.
zach-search-term-analyzer
An analyzer for Amazon Brand Analytics Top Search Terms reports, which show popular searches across Amazon and how clicks and conversions are distributed among products.
zach-search-term-report-analyzer
An Amazon Ads search-term report analyzer for Sponsored Products, Sponsored Brands, and Sponsored Display campaigns. It groups related search terms, measures results over 7, 14, and 30 days, and produces reports in several file formats.