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 skills add Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-profilinggit clone --depth 1 https://github.com/Postpartum-genushyacinthus29/dotnet-skillsWrote 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/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-profiling)<a href="https://agentmods.dev/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-profiling"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-profiling/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/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-profiling"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-profiling.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 | $0.00057 | $0.01356 |
| Opus 5 | $0.00028 | $0.00678 |
| Sonnet 5 | $0.00011 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
dotnet-profiling 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 7d 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.
This is a copy
97% identical to profiling — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Profiling
Trigger On
- the repo needs performance or runtime profiling for a .NET application
- the user asks about slow code, high CPU, GC pressure, allocation growth, exception storms, lock contention, or startup diagnostics
- the team wants official CLI-based diagnostics without depending on
dnx
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
- replacing realistic performance tests or load tests with ad-hoc tracing alone
- production heap collection when the pause risk has not been accepted
- GUI-only workflows that the repo cannot automate or document
Inputs
- the nearest
AGENTS.md - target application, process, or startup path
- the symptom being investigated: CPU, memory, GC, contention, exceptions, or startup
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
- Build and run a realistic target first:
- prefer
Release - prefer realistic config, inputs, and data volume
- prefer
- Start with the lightest useful tool:
dotnet-countersfor live health signalsdotnet-tracefor CPU, exception, contention, GC, and startup tracesdotnet-gcdumpfor managed heap inspection when memory shape matters
- Prefer installed CLI tools over
dnxone-shot execution so the repo commands stay stable and reproducible. - Capture one focused profile at a time instead of mixing every signal into one run.
- For CPU and general runtime hotspots, start with
dotnet-trace collect. - For live triage, start with
dotnet-counters monitoronSystem.Runtime. - For heap analysis, use
dotnet-gcdumpcarefully and document the pause risk. - After each change, rerun the same measurement path and compare before versus after.
What ships with it
3 files 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.
- 7d ago First seen · 137 lines · 57 tokens per session scan A f9c40ce94a44
dotnet-profiling is a skill published in the GitHub repository Postpartum-genushyacinthus29/dotnet-skills (10 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 1,356 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to profiling, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
dotnet-reverse
A guide for analyzing compiled .NET and C# programs, including managed Windows executables and libraries. Reverse engineering means studying compiled software to understand how it works, and decompiling turns it back into readable approximate source code.
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Diagnose MSBuild build performance bottlenecks using binary log analysis. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization…
dump-collect
Configure and collect crash dumps for modern .NET applications. USE FOR: enabling automatic crash dumps for CoreCLR or NativeAOT, capturing dumps from running .NET processes, setting up dump collection in Docker or Kubernetes, using dotnet-dump collect or createdump. DO NOT USE FOR: analyzing or debugging dumps…
binlog-generation
Generate MSBuild binary logs (binlogs) for build diagnostics and analysis. USE FOR: adding /bl:{} to any dotnet build, test, pack, publish, or restore command to capture a full build execution trace, prerequisite for binlog-failure-analysis and build-perf-diagnostics skills, enabling post-build investigation of errors…
binlog-failure-analysis
Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating…