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Authorization Testing

Community
naodeng
authorization-testing

Use this skill when you need evidence-bounded authorization-testing analysis and validation preparation; triggers include 授权测试 and authorization-testing.

Overview

Publishernaodeng
Repositoryawesome-qa-skills
Skill nameauthorization-testing
Stars
279
Forks
36
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Authorization Testing 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.
    https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/authorization-testing
  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/naodeng/awesome-qa-skills.git /tmp/awesome-qa-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-qa-skills/skills/en/testing-types/authorization-testing .claude/skills/authorization-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Authorization Testing 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 Authorization Testing 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 Authorization Testing 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.

Authorization Testing

When to Use

  • Use this Skill when the work needs evidence-bounded analysis of subject-resource-action relations, permission boundaries, denial paths, and delegation.
  • Use it when input is incomplete but a reviewable draft with assumptions and gaps is still useful.
  • Use it when static security evidence must remain separate from planned validation and completed execution.

Output Format Options

  • Default to Markdown organized by security risk, evidence, and priority.
  • If the user asks for a table, CSV, JSON, or ticket format, preserve the same finding fields and evidence states.
  • Confirm the schema, enum values, and required fields before feeding the output to automation.

How to Use

  1. Read prompts/authorization-testing.md and follow its input audit, coverage checklist, and output contract.
  2. Extract scope, environment, version, roles, data, dependencies, constraints, and available evidence.
  3. Model subject-resource-action relations, permission boundaries, denial paths, and delegation with reviewable scenarios, separating known facts, inferences, and candidate validation.
  4. Record impact, priority, owner role, close condition, and validation method for each item.
  5. With incomplete input, deliver a bounded draft; do not turn a risk assumption into a confirmed vulnerability or security pass.

Reference Files

  • Read prompts/authorization-testing.md for every invocation.
  • Read evals/eval.yaml and matching evals/cases/ when evaluating the Skill.
  • Read references/, examples/, scripts/, or output-formats.md only when the directory exists and the task needs it.

Domain Execution Essentials

  • Extract subject roles, ownership, tenant, actions, fields, delegation scope/lifetime and revocation rules; build allow/deny/unknown cells.
  • Deliver subject/resource/action cells and revocation timelines, tracing allow and deny decisions without inferring global privileges from role names.
  • When deriving domain candidates, read and follow prompts/authorization-testing.md for the domain procedure and oracle; retain valid controls, evidence gaps, and validation actions for each item.

Core Constraints

  • Analyze only subject-resource-action relations, permission boundaries, denial paths, and delegation; do not log in, call real APIs, or read credentials.
  • Do not invent vulnerabilities, exploit success, remediation completion, scan coverage, or security-pass claims.
  • Mark unsupported evidence as pending, blocked, or unassessed and provide an isolated validation method.
  • Leave risk acceptance, exception authorization, and release judgment to a Human.

Delivery Self-Check

  • Complete the known, missing, conflicting, stale, out_of_scope, and assumptions audit.
  • Cover the authorization decision, triggers, expected concerns, and evidence state.
  • Separate facts, inferences, recommendations, gaps, and Human decisions.
  • Do not turn static findings or a dry-run into a real exploit, absence-of-vulnerability, or release-approval claim.

Common Pitfalls

  • Treating broad security review or API contract checking as a complete substitute for Authorization Testing.
  • Listing attack names without applicability, evidence, expected results, or close conditions.
  • Declaring a system secure with incomplete input, or reading real credentials for completeness.

Best Practices

  • Start with high-impact, hard-to-detect, permission-sensitive, or data-sensitive paths.
  • Use redacted material, least privilege, isolated environments, and reversible validation suggestions.
  • Make each security conclusion reviewable by another engineer from its source and boundary.

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 Authorization Testing AI skill do?

Use this skill when you need evidence-bounded authorization-testing analysis and validation preparation; triggers include 授权测试 and authorization-testing.

Why use Authorization Testing on TypingMind?

Because you install it once and use it with any model. Authorization Testing 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 Authorization Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/authorization-testing. 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 Authorization Testing?

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 Authorization Testing?

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

Is the Authorization Testing AI skill free?

It is published on GitHub by naodeng. Check the repository for licensing terms. 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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