Data Query

查询物流指数数据

Security Scan

The skill's declared purpose (querying logistics index data) matches its instructions and requirements; it is an instruction-only web-scraping task that requests no credentials or installs.

Purpose & Capability

Name/description and SKILL.md both describe querying logistics/index data from the specified jingwe.jdl.com pages. The skill asks for no unrelated binaries, credentials, or config paths, which is proportionate to a public-data query task.

Instruction Scope

Instructions direct the agent to read data from two specific URLs and filter by user inputs; they do not request other system files or credentials. However, the pages are single-page-app routes (hash fragments) that likely require JavaScript for rendering; the SKILL.md does not specify how to fetch or render those pages (headless browser vs simple HTTP GET), nor does it mention respecting robots.txt, rate limiting, or site terms—this is a functional ambiguity rather than a security mismatch.

Install Mechanism

No install spec or code files are present (instruction-only), so nothing will be downloaded or written to disk during install—this is the lowest install risk.

Credentials

The skill requests no environment variables, credentials, or config paths. That is appropriate for a public web-data query and raises no unexplained access to secrets.

Persistence & Privilege

always is false and the skill is user-invocable. The skill does not request permanent presence or privileged modifications to other skills or system settings.

Assessment

This skill appears coherent: it scrapes public pages for logistics-index data and asks for no secrets. Before installing: (1) confirm you are comfortable with the agent making HTTP requests to jingwe.jdl.com; (2) verify that scraping those pages is allowed by the site's terms of service and that the data is public; (3) expect potential implementation issues because the target pages appear to be a JavaScript-rendered SPA—the agent may need a headless-browser capability to extract the data accurately; (4) test outputs for correctness (dates, timezones, T-1 logic) and be cautious about rate limits or blocking by the site. If you need the skill to access private/internal data or to run complex rendering, request an implementation that documents how pages are fetched and how credentials (if any) would be used.

steps

1. 读取http://jingwe.jdl.com/#/indexCenter/indexOverview 中的数据，以用户输入的统计日期及承运商名称作为筛选条件
2. 若没有指出明确的承运商名称，则默认查询所有承运商数据；若没有指出明确的统计日期，则查询当日T-1的日期作为统计日期；若没有指出明确省份，默认全国
3. 若没有指出明确的物流指数，则默认查询全部物流指标总分、及各指标数据
4. 行业均值读取http://jingwe.jdl.com/#/indexCenter/shipperOverview 中的数据，筛选条件为输入的承运商名称、统计日期、省份，若无明确输入则按上述兜底条件作为筛选

input

1. 承运商名称、统计日期、指标名称、区域

output

1. 统计日期
2. 承运商名称+指标名称+该指标名称下的行业平均值+该承运商的行业排名+与行业平均的差值
3. 该承运商在统计日期T-7至统计日期期间的指标名称下曲线图，波动特点并标出统计日期与这7天中最高值的差值是多少