Build ParallelismSAFE
Repository for skills to assist AI coding agents with .NET and C#
Overview
Repository for skills to assist AI coding agents with .NET and C#
b6d21c9a76b4OBSERVED · 2026-10-28What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: build-parallelism
description: "Analyze an MSBuild solution, solution filter, or Build.proj that schedules multiple project files. USE FOR: measured idle worker nodes, `-m` that does not scale, a serial ProjectReference critical path, graph builds, or an MSBuild task that builds a Projects list. Requires at least two distinct project files whose scheduling or throughput must be analyzed. DO NOT USE for non-MSBuild build systems."
license: MIT
---
## Diagnose a slow parallel build (start here)
Work this checklist in order — it targets the usual root cause (a serial
dependency chain that no number of cores can parallelize):
1. **Check how many worker nodes actually built the solution.** Capture a
binlog with `dotnet build /bl:{}` (PowerShell: `dotnet build '-bl:{}'`) and
inspect the node timeline to see whether more than one node ran. Every
`dotnet` CLI command built on the SDK's MSBuild-forwarding path (`build`,
`msbuild`, `test`, `pack`, `publish`, etc.) enables `/maxcpucount` (multiple
nodes) by default; `-m:1` forces a single node. A direct `MSBuild.exe`
invocation is sequential by default, so pass `-m` explicitly to enable
parallel worker nodes there.
2. **Find the critical path.** From the binlog, read per-project timings and the
node timeline. If total build time ≈ the sum of the projects on one
dependency chain, that chain — not CPU count — is the bottleneck.
3. **Name the chain explicitly**, e.g. `Core → Api → Web → Tests`. A long serial
chain stays serial no matter how large `-m` is, because each project waits on
its predecessor.
4. **Look for unnecessary `ProjectReference` edges** that lengthen the chain — a
reference that only needs build order (not the output assembly), or one that
could be a `PackageReference`, forces serialization it doesn't need.
5. **Recommend flattening**: break false dependencies so independent projects
build concurrently, and consider `/graph` for better scheduling.
## MSBuild Parallelism Model
- `/maxcpucount` (or `-m`): number of worker nodes (processes)
- Every `dotnet` CLI command (`build`, `msbuild`, `test`, `pack`, `publish`,
etc.) passes `/maxcpucount` by default via the SDK's shared MSBuild-forwarding
path; `-m:1` overrides it with one node
- A direct `MSBuild.exe` invocation is sequential by default and requires an
explicit `-m`
- Recommended: `-m` without a number = use all logical processors
- Each node builds one project at a time
- Projects are scheduled based on dependency graph
## Project Dependency Graph
- MSBuild builds projects in dependency order (topological sort)
- Critical path: longest chain of dependent projects determines minimum build time
- Bottleneck: if project A depends on B, C, D and B takes 60s while C and D take 5s, B is the bottleneck
- Diagnosis: replay binlog to diagnostic log with `performancesummary` and check Project Performance Summary — shows per-project time; grep for `node.*assigned` to check scheduling
- Wide graphs (many independent projects) parallelize well; deep graphs (long chains) don't
## Graph Build Mode (`/graph`)
- `dotnet build /graph` or `msbuild /graph`
- What it changes: MSBuild constructs the full project dependency graph BEFORE building
- Benefits: better scheduling, avoids redundant evaluations, enables isolated builds
- Limitations: all projects must use `<ProjectReference>` (no programmatic MSBuild task references)
- When to use: large solutions with many projects, CI builds
- When NOT to use: projects that dynamically discover references at build time
## Optimizing Project References
- Reduce a `<ProjectReference>` only after proving it is unnecessary; a slow but
valid dependency must stay in the graph
- Use `<ProjectReference ... SkipGetTargetFrameworkProperties="true">` to avoid extra evaluations
- `<ProjectReference ... ReferenceOutputAssembly="false">` for build-order-only dependencies
- Consider if a ProjectReference should be a PackageReference instead (pre-built NuGet)
- Use `solution filters` (`.slnf`) to build subsets of the solution
## BuildInParallel
- `<MSBuild Projects="@(ProjectsToBuild)" BuildInParallel="true" />` in custom targets
- Without `BuildInParallel="true"`, MSBuild task batches projects sequentially
- Ensure `/maxcpucount` > 1 for this to have effect
## Multi-threaded MSBuild Tasks
- Individual tasks can run multi-threaded within a single project build
- Tasks implementing `IMultiThreadableTask` can run on multiple threads
- Tasks must declare thread-safety via `[MSBuildMultiThreadableTask]`
## Analyzing Parallelism with Binlog
### Primary: binlog MCP (preferred)
Use the **binlog MCP server** (`Microsoft.AITools.BinlogMcp`, exposed under the `binlog` MCP namespace):
1. Use expensive_projects tool → find the slowest projects and compare individual vs total build time
2. Use expensive_targets tool → find bottleneck targets
3. Use project_target_times tool → drill into a specific project's target-level timing
4. Ideal: build time should be much less than sum of project times (parallelism)
5. If build time ≈ sum of project times: too many serial dependencies, or one slow project blocking others
### Fallback: text-log replay (when MCP is unavailable)
Step-by-step:
1. Replay the binlog: `dotnet msbuild build.binlog -noconlog -fl "-flp:v=diag;logfile=full.log;performancesummary"`
2. Check Project Performance Summary at the end of `full.log`
3. Ideal: build time should be much less than sum of project times (parallelism)
4. If build time ≈ sum of project times: too many serial dependencies, or one slow project blocking others
5. `grep 'Target Performance Summary' -A 30 full.log` → find the bottleneck targets
6. Consider splitting large projects or optimizing the critical path
## CI/CD Parallelism Tips
- Use `-m` in CI (many CI runners have multiple cores)
- Consider splitting solution into build stages for extreme parallelism
- Use build caching (NuGet lock files, deterministic builds) to avTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
b6d21c9a76b4full audit observations/trust-audit/skill/dotnet__build-parallelism.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-28 | b6d21c9a76b4 | SAFE | B | 89 | first audit |
Questions
What does the build-parallelism — dotnet/skills skill do?
Repository for skills to assist AI coding agents with .NET and C#
Is build-parallelism — dotnet/skills safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can build-parallelism — dotnet/skills access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (b6d21c9a76b4), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.
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