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Yao Websecurity Skill

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yaojingang
yao-websecurity-skill

Use when auditing an authorized website, SaaS, API, AI app, local code path, GitHub repo, staging URL, or owned runtime for security risks, vulnerability checklist scoring, static review, dynamic review, active validation, or Chinese security reports.

Overview

Publisheryaojingang
Repositoryyao-open-skills
Skill nameyao-websecurity-skill
Stars
1.3K
Forks
149
Bundled files
24
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 24 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yaojingang on GitHub. Read the source before you install it.

Installation

Install the Yao Websecurity Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git /tmp/yao-open-skills
mkdir -p .claude/skills
cp -r /tmp/yao-open-skills/skills/yao-websecurity-skill .claude/skills/yao-websecurity-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Websecurity Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Yao Websecurity Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Yao Websecurity Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Yao Websecurity Skill

Use

Use when the user gives a local path, archive, GitHub repo, staging URL, or owned runtime and wants a defensive website security audit, vulnerability checklist review, scorecard, remediation plan, static review, dynamic review, active validation, or Excel/HTML/Markdown/PDF report.

Do not use for unauthorized targets, exploit development, credential theft, stealth, malware, third-party public-target scanning, or bypass instructions.

Required Reading

  • references/security-audit-method.md
  • references/report-contract.md
  • references/review-modes.md
  • references/vulnerability-ontology.csv
  • references/scanner-registry.md

Workflow

  1. Confirm mode, scope, authorization, environment, intensity, forbidden actions, test accounts, rate limits, rollback/reset plan, and whether online targets are allowed. Without active-test authorization, use static.
  2. Prepare an isolated workdir before review: python3 scripts/security_audit_report.py prepare-env --source "<path-or-url>" --workdir "<fresh-temp-workdir>" --project "<name>" --mode "<mode>". Local and GitHub targets must be copied or cloned into this fresh temp directory; never install, build, migrate, write reports, or mutate the original source tree.
  3. For dynamic-safe, dynamic-active, hybrid, or online-authorized, configure only temporary secrets, test DB, synthetic accounts/data, loopback or isolated containers, OOB endpoint if authorized, and stop conditions. Destructive file operations, DB writes, brute-force resilience, resource pressure, and blind SSRF/OOB tests default to the isolated temp deployment.
  4. Inventory the isolated target-source with rg --files, manifests, routes/API definitions, auth/session modules, data models, configs, Docker/IaC, CI/CD, and AI/LLM integrations. Record unreadable, generated, vendor, or excluded paths.
  5. Create the review skeleton: python3 scripts/security_audit_report.py init --project "<name>" --source "<fresh-temp-workdir>/target-source" --mode "<mode>" --intensity "<intensity>" --out "<fresh-temp-workdir>/security_review.json".
  6. Triage V001-V275 by observed attack surface. Mark irrelevant items Not Applicable with a short reason; deep-audit only applicable or unclear items, grouped by domain and priority. Do not spend review budget testing vulnerability families that are not represented in the code, framework, runtime, or deployment model.
  7. Execute only the selected mode. Static means code/config/passive review. Dynamic-safe means runtime and passive DAST against temp deployment. Dynamic-active may run blind/OOB, capped brute-force, file mutation, DB writes, and resource-pressure tests only inside temp deployment unless explicit online authorization states otherwise. If a runtime gate is missing, mark affected checks Unclear or Deferred, not Safe.
  8. Render artifacts: python3 scripts/security_audit_report.py render --review "<workdir>/security_review.json" --out-dir "<workdir>/security-audit-report".
  9. Return the absolute .xlsx, .html, .md, and .pdf paths, selected mode, selected risk domains, P0/P1 findings, unclear items, coverage gaps, runtime assumptions, and active-test evidence.

Output Contract

Default outputs are 安全审查评分表.xlsx, 安全审查报告.html, 安全审查报告.md, 安全审查报告.pdf, and security_review.sanitized.json, written outside the audited source tree. Report content is Simplified Chinese by default. Excel must use Chinese labels and Chinese row-level interpretations for verdict, evidence, finding, impact, and remediation, while preserving code identifiers and paths as-is. HTML must include a right-side language toggle with Chinese as the default view and English as the alternate view, plus a sticky top navigation menu for major sections. Markdown is generated from the same Chinese scorecard/report content used by Excel. PDF is a Chinese-first browsing copy optimized for quick review and should use browser/HTML print rendering when available for stable typography and page breaks. Follow references/report-contract.md for review-mode, isolation, and presentation standards. Evidence must be sanitized: no plaintext secrets, cookies, reusable tokens, personal data dumps, or destructive proof steps.

Reference Map

  • scripts/security_audit_report.py: prepare-env/init/extract/render.
  • templates/review-template.json: review shape.
  • evals/: route boundaries.
  • reports/: reference, output-risk, artifact profiles.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Yao Websecurity Skill AI skill do?

Use when auditing an authorized website, SaaS, API, AI app, local code path, GitHub repo, staging URL, or owned runtime for security risks, vulnerability checklist scoring, static review, dynamic review, active validation, or Chinese security reports.

Why use Yao Websecurity Skill on TypingMind?

Because you install it once and use it with any model. Yao Websecurity Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Yao Websecurity Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-websecurity-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Yao Websecurity Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Yao Websecurity Skill?

As many as you like. As long as a model supports skills, you can use Yao Websecurity Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Yao Websecurity Skill AI skill free?

Yes. It is published on GitHub by yaojingang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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