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/microsoft/agent-framework/build-and-testnpx skills add microsoft/agent-framework --skill build-and-testgit clone --depth 1 https://github.com/microsoft/agent-frameworkWhat 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 | $0.00026 | $0.01596 |
| Opus 5 | $0.00013 | $0.00798 |
| Sonnet 5 | $0.00005 | $0.00319 |
| Haiku 4.5 | $0.00003 | $0.00160 |
Grade A, and why
build-and-test 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
- Only UnitTest projects need to be run locally; IntegrationTests require external dependencies.
- See
../project-structure/SKILL.mdfor project structure details.
Build, Test, and Lint Commands
# From dotnet/ directory
dotnet restore --tl:off # Restore dependencies for all projects
dotnet build --tl:off # Build all projects
dotnet test # Run all tests
dotnet format # Auto-fix formatting for all projects
# Build/test/format a specific project (preferred for isolated/internal changes)
dotnet build src/Microsoft.Agents.AI.<Package> --tl:off
dotnet test --project tests/Microsoft.Agents.AI.<Package>.UnitTests
dotnet format src/Microsoft.Agents.AI.<Package>
# Run a single test
# Replace the filter values with the appropriate assembly, namespace, class, and method names for the test you want to run and use * as a wildcard elsewhere, e.g. "/*/*/HttpClientTests/GetAsync_ReturnsSuccessStatusCode"
# Use `--ignore-exit-code 8` to avoid failing the build when no tests are found for some projects
dotnet test --filter-query "/<assemblyFilter>/<namespaceFilter>/<classFilter>/<methodFilter>" --ignore-exit-code 8
# Run unit tests only
# Use `--ignore-exit-code 8` to avoid failing the build when no tests are found for integration test projects
dotnet test --filter-query "/*UnitTests*/*/*/*" --ignore-exit-code 8
Use --tl:off when building to avoid flickering when running commands in the agent.
Speeding Up Builds and Testing
The full solution is large. Use these shortcuts:
| Change type | What to do |
|---|---|
| Isolated/Internal logic | Build only the affected project and its *.UnitTests project. Fix issues, then build the full solution and run all unit tests. |
| Public API surface | Build the full solution and run all unit tests immediately. |
Example: Building a single code project for all target frameworks
# From dotnet/ directory
dotnet build ./src/Microsoft.Agents.AI.Abstractions
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 · 131 lines · 26 tokens per session scan A 72b9cf14edb5
build-and-test is a skill published in the GitHub repository microsoft/agent-framework (13,222 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 1,596 once invoked, about $0.0001 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 2026-08-30.
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