Home / fmind / dot · skills/quality-assurance/SKILL.md · GitHub

quality-assurance skillA

quality-assurance is agent-read markdown (skill) from fmind/dot: Plan and run software test campaigns across user journeys, failures, and release risks..

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

# Quality Assurance

Run a risk-based test campaign over the actual feature journey. Keep one-diff review in [repository-review](../repository-review/SKILL.md); [agent-evaluation](../agent-evaluation/SKILL.md) owns stochastic model comparisons through project or provider runners.

## Workflow

1. **Define working**: exact candidate, users, critical journeys, supported environments, acceptance criteria, and risk-ranked failure modes.
1. **Choose coverage**: map risks to the smallest meaningful unit, integration, browser, accessibility, performance, resilience, or manual checks; reuse existing evidence only when identity and scope match.
1. **Prepare the environment**: use deterministic fixtures and local fakes by default; declare real-service access, cost, and cleanup before crossing those boundaries.
1. **Exercise the journey**: run the repository's `mise` test tasks, then cover unhappy paths, permissions, recovery, cancellation, and relevant platform variants; preserve failures and useful artifacts.
1. **Report**: reproducible defects, passed/failed/unrun checks, and residual gaps; distinguish test coverage from operational readiness and hosted behavior.

## Gotchas
…

Read the whole file at its exact version.

How to install

Latest version
mdr add fmind/dot/quality-assurance@git:20260919.4491844
Exact content
mdr add fmind/dot/quality-assurance@sha256:43cbde5a2717f072

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

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Versions

versioncommittedcommitsizeaudit
git:20260919.4491844 latest2026-09-19 4491844 2,882 BA view · diff
git:20260916.50d68102026-09-16 50d6810 2,882 BA view · diff
git:20260916.c7c49032026-09-16 c7c4903 2,884 BA view · diff
git:20260909.892d8592026-09-09 892d859 2,872 BA view · diff
git:20260909.17296ea2026-09-09 17296ea 2,839 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 (2882 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

fmind/dot · 9 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_awbv24r2e5g4addm
GET https://markdownregistry.com/api/v1/resolve?ref=fmind/dot/quality-assurance
GET https://markdownregistry.com/api/v1/blob/43cbde5a2717f072710594cbd19d81d5a18ef392e35f72d4b9baa6165639b054

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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