Web Assessment Coverage logo

Web Assessment Coverage

Organization
zero-lab-ai
web-assessment-coverage

Tracks web application assessment coverage across endpoints, inputs, roles, authentication states, and test families, preventing untested or blocked work from being reported as clean. Use when planning, conducting, reviewing, or handing over an authorized web or API penetration test.

Overview

Publisherzero-lab-ai
Repositoryskills
Skill nameweb-assessment-coverage
Stars
232
Forks
14
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

    Published by zero-lab-ai on GitHub. Read the source before you install it.

Installation

Install the Web Assessment Coverage 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/zero-lab-ai/skills/tree/main/plugins/application-endpoint-security/skills/web-assessment-coverage
  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/zero-lab-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/application-endpoint-security/skills/web-assessment-coverage .claude/skills/web-assessment-coverage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Assessment Coverage 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 Web Assessment Coverage 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 Web Assessment Coverage 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.

Web assessment coverage

A web assessment is complete only when every discovered surface has an honest disposition. A route inventory is not coverage, and a planned test is not a negative result.

Use this skill only inside written authorization. Scope, rate, impact, test accounts, and permission for state changes come from the engagement, not from this skill.

When to Use

  • Planning, conducting, reviewing, or handing over an authorized web or API penetration test.
  • Use only within explicit authorization and the stated rules of engagement.

When NOT to Use

  • Do not treat this skill as permission to access, test, or change a target.
  • Do not convert missing evidence into a clean result or a stronger claim.

Build the coverage ledger

  1. Record the assessment boundary. State the exact in-scope origins, engagement type, available identities, action classes allowed now, request limits, excluded systems, and handling constraints. Stop at out-of-scope redirects and resource hosts.
  2. Inventory surfaces before testing. Record every observed route, method, input, authentication state, API operation, GraphQL operation, WebSocket, upload, business workflow, client-side surface, and configuration surface. Preserve distinct methods and trust contexts as distinct surfaces.
  3. Derive required families. require:
    • any surface with input: injection;
    • authentication surface: authentication and session-management;
    • API: api; GraphQL: api and graphql;
    • upload, WebSocket, business logic, client side, and configuration: their matching test family;
    • ownership-sensitive surface: horizontal-access-control role checks;
    • privilege boundary: vertical-access-control role checks.
  4. Name access-control pairs. For horizontal checks, identify the actor and peer resource owner, including the reverse direction when both matter. For vertical checks, identify the lower-privilege actor and privileged target. An unavailable administrator account limits what can be concluded; it does not make vertical coverage complete.
  5. Give each required case one status. Use planned, executed, blocked, or not-applicable. Blocked cases name the blocker. Not-applicable cases explain why the family does not apply. Planned cases remain untested.
  6. Separate status from outcome. Only an executed case can report finding, no-issue, or inconclusive, and every executed case links to evidence. Every other status uses not-run.
  7. Enforce authorization per case. Classify the action as read-only, authenticated read, reversible state change, state change, active execution, high volume, or external contact. Work outside the currently allowed classes is marked requires-separate-approval; never present it as executable now.
  8. Summarize by family without hiding gaps. Each family summary references all of its coverage records. derive the claim:
    • any evidenced finding → finding;
    • any planned or blocked case → incomplete;
    • otherwise any inconclusive execution → inconclusive;
    • fully executed cases with no findings → no-issue;
    • all cases justified as not applicable → not-applicable.
  9. Send confirmed vulnerabilities to the reporting skill. Coverage says what was tested. A finding still needs reproducibility, impact, severity, and remediation.

Test depth follows the engagement

  • Completeness does not mean maximum impact. Cover a high-impact family with a blocked or approval-gated record when safe validation is unavailable.
  • Use known fixtures for authorization. Comparing two supplied accounts is evidence; enumerating other customers is scope expansion.
  • State changes need recovery. Define the exact mutation, expected artifact, restoration action, and maximum attempts before seeking approval.
  • Negative bounded tests have limits. A small race or rate sample may find a flaw, but silence does not establish resilience against higher volume.
  • Third-party services remain separate targets. Record an external redirect, storage URL, mail system, or payment processor without touching it unless its origin is explicitly in scope.

Judgment calls

The script derives required families from the normalized surface fields and checks the evidence contract. It cannot decide whether the route inventory is complete, whether a payload was technically adequate, or whether linked evidence proves the claimed security behavior. Review those judgments directly.

Rationalizations to reject

ThoughtReality
"We planned the test, so this area is covered."Planned means unexecuted. It supports an incomplete summary.
"The scanner found nothing."A tool result proves only the surfaces and techniques it actually exercised.
"One user-to-user check covers IDOR."Record every required direction and role pair explicitly.
"We lack an admin account, so vertical access control is not applicable."Low-privilege denial may be testable; privileged workflow coverage remains blocked.
"No finding means secure."It means no issue was observed within the executed coverage and its limits.
"A harmless upload or checkout does not count as a state change."It still creates client state and requires the authorization assigned to that action class.
"The route points to another host, so it is part of the app."Scope follows explicit origins, not architectural association.

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 Web Assessment Coverage AI skill do?

Tracks web application assessment coverage across endpoints, inputs, roles, authentication states, and test families, preventing untested or blocked work from being reported as clean. Use when planning, conducting, reviewing, or handing over an authorized web or API penetration test.

Why use Web Assessment Coverage on TypingMind?

Because you install it once and use it with any model. Web Assessment Coverage 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 Web Assessment Coverage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zero-lab-ai/skills/tree/main/plugins/application-endpoint-security/skills/web-assessment-coverage. 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 Web Assessment Coverage?

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 Web Assessment Coverage?

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

Is the Web Assessment Coverage AI skill free?

Yes. It is published on GitHub by zero-lab-ai under the Apache-2.0 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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