Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/managedcode/mcpgateway/mcaf-dotnet-mstestnpx skills add managedcode/MCPGateway --skill mcaf-dotnet-mstestgit clone --depth 1 https://github.com/managedcode/MCPGatewayWhat 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 | $0.00062 | $0.01123 |
| Opus 5 | $0.00031 | $0.00562 |
| Sonnet 5 | $0.00012 | $0.00225 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
mcaf-dotnet-mstest scanned grade A with 0 findings 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCAF: .NET MSTest
Trigger On
- the repo uses MSTest
- you need to add, run, debug, or repair MSTest tests
- the repo is moving between VSTest and Microsoft.Testing.Platform
Value
- produce a concrete project delta: code, docs, config, tests, CI, or review artifact
- reduce ambiguity through explicit planning, verification, and final validation skills
- leave reusable project context so future tasks are faster and safer
Do Not Use For
- xUnit projects
- TUnit projects
- generic test strategy with no MSTest-specific mechanics
Inputs
- the nearest
AGENTS.md - the test project file and package references
- the active MSTest runner model
Quick Start
- Read the nearest
AGENTS.mdand confirm scope and constraints. - Run this skill's
Workflowthrough theRalph Loopuntil outcomes are acceptable. - Return the
Required Result Formatwith concrete artifacts and verification evidence.
Workflow
- Detect the MSTest project style first:
MSTest.Sdkproject SDKMSTestmeta-package- legacy package set with explicit
Microsoft.NET.Test.Sdk
- Read the repo's real
testcommand fromAGENTS.md. If the repo has no explicit command yet, start withdotnet test PROJECT_OR_SOLUTION. - Keep the runner model consistent:
MSTest.Sdkdefaults to the MSTest runner on Microsoft.Testing.Platform- VSTest is opt-in with
UseVSTest=trueor legacy package choices - do not pass VSTest-only switches or assume legacy
.runsettingsbehavior on Microsoft.Testing.Platform jobs
- Prefer
[DataRow]orDynamicDatafor stable data-driven coverage. Keep test lifecycle hooks minimal and deterministic. - Keep MSTest analyzers enabled and fix findings instead of muting them casually.
- Align coverage/reporting packages with the active runner.
Bootstrap When Missing
If MSTest is requested but not configured:
- Detect current framework first:
rg -n "MSTest\\.Sdk|PackageReference Include=\"MSTest\"|xunit|TUnit|UseVSTest|TestingPlatformDotnetTestSupport" -g '*.csproj' .
- If the repo currently uses
xUnitorTUnit, do not auto-migrate. Returnstatus: not_applicableunless migration is explicitly requested. - For explicit MSTest adoption, add package(s) to target test project:
dotnet add TEST_PROJECT.csproj package MSTest
- Document runner model (
MSTest.Sdkdefault MTP vsUseVSTest) inAGENTS.md. - Run
dotnet test TEST_PROJECT.csprojand returnstatus: configuredorstatus: improved.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 116 lines · 62 tokens per session scan A 6f073e994864
mcaf-dotnet-mstest is a skill published in the GitHub repository managedcode/MCPGateway (5 stars, last pushed 2d ago), licensed MIT. It adds 62 tokens to every session and 1,123 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
release-gatekeeper
End-to-end release validation for Connapse — the 'final boss' before any version ships. Downloads the latest alpha from GitHub Releases, deploys an isolated Docker instance (separate from production), then systematically tests every feature: UI via Playwright, API via curl/REST, MCP tools, search quality, security…
create-tickets
Batch-create GitHub issues from a brainstorming discussion. Decomposes ideas into properly-sized tickets with labels, milestones, and project board placement. Trigger when user says: create tickets, make tickets, turn ideas into issues, create issues from brainstorm, create issues from discussion, batch create issues.
discover-work
Deep research across codebase, GitHub issues, discussions, project board, and architecture docs to discover new tasks, gaps, technical debt, and improvement ideas. Trigger when user says: discover work, find tasks, what needs doing, audit codebase, find gaps, technical debt audit, backlog discovery, brainstorm tasks…
next-task
Recommend the best next task to work on based on open GitHub issues. Analyzes priority, dependencies, milestone urgency, and codebase readiness. Trigger when user asks: what should I work on, what is next, next task, pick a task, what to do next, suggest work, prioritize tasks.
t2i
Use the t2i CLI to generate AI images from text prompts via Microsoft Foundry providers (FLUX.2, MAI-Image-2). Activate when the user asks to generate images, automate image creation in scripts, or set up image generation for CI/CD.
performance-tracking
Status: Active Domain: Diagnostics, SLA Validation, Benchmarking Created: 2026-04-28 Author: Rachael (CLI/UX Dev).