ai-web-quality-audit

ai-web-quality-audit Website Quality Audit Assistant

Overview

The website quality audit assistant is used to answer "Is the website quality good enough?", performance diagnostics, website quality, and experience metrics. It is suitable for technical, product, marketing, and software to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as page URL, report or issue description, pasted page URL, performance report summary, Core Web Vitals metrics... to organize key context, and outputs issue attribution, service improvement suggestions, SOPs, or FAQ checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: the skills.sh hot signal shows that web-quality-audit has user demand; the platform displays it as a local_service_ops business assistant directory, outputting reviewable diagnostics, suggestions, or production readiness packages.

When to Use

Applicable Scenarios

Users ask questions such as "Is the website quality good enough?" and need to quickly break down goals, determine priorities, and form actionable results
technical, product, marketing, and software need to generate issue attribution, service improvement suggestions, SOPs, or FAQ checklists around the website quality audit assistant
Users have already prepared diagnostic goals (explaining the performance, usability, search, conversion, or launch check goals to be identified.), affected objects (explaining the affected users, devices, page types, regions, or business scenarios.), and page links to be diagnosed (filling in publicly accessible pages, sites, reports, or reference links to be diagnosed.), and hope to organize them into actionable analysis or optimization results
Users need to turn materials related to the website quality audit assistant into clear conclusions, priorities, and next steps

How to Call

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"goal":"诊断目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
`goal`	string	No	-	Explain the performance, usability, search, conversion, or launch check goals to be identified
`audience`	string	No	-	Explain the affected users, devices, page types, regions, or business scenarios
`materialUrl`	string	No	-	Fill in publicly accessible pages, sites, reports, or reference links to be diagnosed; a complete accessible URL is required
`materialFile`	string	No	-	Upload Lighthouse reports, performance screenshots, metric tables, page descriptions, or technical troubleshooting materials
`materialText`	string	No	-	Paste page URLs, performance report summaries, Core Web Vitals metrics, reproduction scenarios, or website quality issues
`brandRequirements`	string	No	-	Supplement device network, browser, time range, tech stack limitations, items that cannot be changed, or retest requirements

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require an additional lookup table.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"诊断目标"}'

Equivalent --params JSON：

{
  "goal": "诊断目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

Problem attribution, service improvement suggestions, SOP or FAQ checklist: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
Interpretation of input materials: combine the diagnostic goal (explain the performance, availability, search, conversion, or launch check goal to be identified.), affected targets (explain the affected users, devices, page types, regions, or business scenarios.), and page link to be diagnosed (fill in a publicly accessible page, site, report, or reference link to be diagnosed.) to extract key context and basis for judgment.
Next actions: provide priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

First determine whether the output answers the user's core questions about the "Website Quality Review Assistant".
Then check whether the results cover problem attribution, service improvement suggestions, SOP or FAQ checklist, and whether they provide clear next actions.
If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

AISKILLS_BASE_URL: default https://ai-skills.ai
AISKILLS_API_KEY: required, used for authenticated calls
AISKILLS_TENANT_ID: default default