Home / naodeng / awesome-qa-skills · skills/en/testing-types/model-based-testing/SKILL.md · GitHub

model-based-testing skillA

model-based-testing is agent-read markdown (skill) from naodeng/awesome-qa-skills: Use this skill when you need to derive test-path candidates from sourced behavior, state, or process models; triggers include 基于模型的测试 and model-based test design..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Model-Based Test Design

Derive test-path candidates from sourced behavior, state, or process models. Produce MBT-## design candidates within the evidence boundary; do not execute tests or claim coverage or pass results.

## When to Use

- Analyze behavior models, states or nodes, events, path constraints, model versions, and existing execution evidence.
- Preserve selection rationale, evidence gaps, priority, and validation actions.
- Inputs are incomplete but a bounded first pass can mark items unassessed or blocked.

## Output Format Options

- Use Markdown by default; use tables, JSON, or CSV only when explicitly requested or required by the delivery format.
- Separate static analysis, unexecuted work, evidence states, and Human decisions; keep items unassessed, blocked, or NOT_RUN when runtime evidence is absent.

## How to Use

1. Read `prompts/model-based-testing.md` and provide the objective, scope, material, environment, and evidence.
2. Start with separate known, missing, conflicting, stale, out_of_scope, and assumptions entries.
3. Produce MBT-## findings with source, evidence state, applicability, impact/priority, owner, close condition, and validation.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add naodeng/awesome-qa-skills/model-based-testing@git:20260915.3de5d7a
Exact content
mdr add naodeng/awesome-qa-skills/model-based-testing@sha256:15dc834fb5ae1266

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nj2ym2faortvep4w.svg)](https://markdownregistry.com/a/art_nj2ym2faortvep4w)

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Versions

versioncommittedcommitsizeaudit
git:20260915.3de5d7a latest2026-09-15 3de5d7a 3,267 BA view · diff
git:20260915.f49090d2026-09-15 f49090d 3,241 BA view · diff
git:20260915.d07a5f52026-09-15 d07a5f5 1,592 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3267 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

naodeng/awesome-qa-skills · 230 stars · license NOASSERTION · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nj2ym2faortvep4w
GET https://markdownregistry.com/api/v1/resolve?ref=naodeng/awesome-qa-skills/model-based-testing
GET https://markdownregistry.com/api/v1/blob/15dc834fb5ae1266bff4f258008f6073a399c050d71a396c9a198201069191af

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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