Borrowing it
Nothing to install: this file belongs to Accenture/AutoFixture.XUnit2.AutoMock. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Accenture/AutoFixture.XUnit2.AutoMock/master/AGENTS.mdgit clone --depth 1 https://github.com/Accenture/AutoFixture.XUnit2.AutoMockWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/accenture/autofixture.xunit2.automock/agents-md)<a href="https://agentmods.dev/instructions/accenture/autofixture.xunit2.automock/agents-md"><img src="https://agentmods.dev/badge/instructions/accenture/autofixture.xunit2.automock/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/accenture/autofixture.xunit2.automock/agents-md"><img src="https://agentmods.dev/badge/instructions/accenture/autofixture.xunit2.automock/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04203 | $0.04203 |
| Opus 5.5 | $0.01681 | $0.01681 |
| Sonnet 5.5 | $0.00841 | $0.00841 |
| Haiku 4.5 | $0.00420 | $0.00420 |
Grade B, and why
AutoFixture.XUnit2.AutoMock AGENTS.md scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Enforces code style via `EnforceCodeStyleInBuild=true` and `TreatWarningsAsErrors=true`. A build that passes without warnings means all analyzers are satisfied. How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - AI Agent Context for AutoFixture.XUnit2.AutoMock
This file provides context for AI coding assistants (Claude Code, GitHub Copilot, OpenAI Codex, Cursor, and others) working in this repository. Read it before making any changes.
What This Project Does
C# NuGet library collection that bridges:
- AutoFixture - generates anonymous test data automatically
- Mocking frameworks - Moq, FakeItEasy, NSubstitute
The result: xUnit2 test attributes that auto-generate both test data and mocks in one step, eliminating boilerplate setup in unit tests.
Published NuGet packages:
Objectivity.AutoFixture.XUnit2.AutoMoq(uses Moq)Objectivity.AutoFixture.XUnit2.AutoFakeItEasy(uses FakeItEasy)Objectivity.AutoFixture.XUnit2.AutoNSubstitute(uses NSubstitute)
Core is not published standalone - it is bundled into each of the three packages above.
Repository Layout
├── AGENTS.md / CLAUDE.md / README.md / CONTRIBUTING.md
├── GitVersion.yml / stryker-config.yml / dotnet-tools.json
└── src/
├── Objectivity.AutoFixture.XUnit2.AutoMock.sln # Primary solution (all 8 projects)
├── Directory.Build.props / .editorconfig
├── Objectivity.AutoFixture.XUnit2.Core/ # Shared infrastructure (not published)
├── Objectivity.AutoFixture.XUnit2.Core.Tests/
├── Objectivity.AutoFixture.XUnit2.AutoMoq/
├── Objectivity.AutoFixture.XUnit2.AutoMoq.Tests/
├── Objectivity.AutoFixture.XUnit2.AutoFakeItEasy/
├── Objectivity.AutoFixture.XUnit2.AutoFakeItEasy.Tests/
├── Objectivity.AutoFixture.XUnit2.AutoNSubstitute/
└── Objectivity.AutoFixture.XUnit2.AutoNSubstitute.Tests/
Build, Test, and Pack Commands
All commands run from the repository root.
Build
dotnet build src/Objectivity.AutoFixture.XUnit2.AutoMock.sln
Enforces code style via EnforceCodeStyleInBuild=true and TreatWarningsAsErrors=true. A build that passes without warnings means all analyzers are satisfied.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 415 lines · 4,203 tokens per session scan B bcb2b61679b4
AutoFixture.XUnit2.AutoMock AGENTS.md is an instructions file published in the GitHub repository Accenture/AutoFixture.XUnit2.AutoMock (23 stars, last pushed yesterday), licensed MIT. It adds 4,203 tokens to every session, about $0.0168 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.