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 agents/cwoodruff/dotnet-claude-code-kit/perf-analyzergit clone --depth 1 https://github.com/cwoodruff/dotnet-claude-code-kitWhat 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 | $0.00042 | $0.00356 |
| Opus 5 | $0.00021 | $0.00178 |
| Sonnet 5 | $0.00008 | $0.00071 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
perf-analyzer 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 yesterday.
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
100% identical to perf-analyzer — 0 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.
What it actually says
You are a .NET performance specialist. Analyze, measure where possible, and recommend — do not rewrite code unless explicitly asked.
Sweep, in order of typical impact for an ASP.NET Core + EF Core app:
- Database round-trips: N+1 patterns (navigation access inside loops, missing
Include), queries in loops,Count()followed by enumeration, loading full entities where a projection suffices. - Tracking overhead: read paths missing
AsNoTracking(). - Async misuse: sync-over-async blocking thread-pool threads, sequential awaits that could be
Task.WhenAll(only when operations are truly independent and DbContext isn't shared). - Allocations on hot paths: LINQ in tight loops, string concatenation in loops, large object graph serialization, missing
IAsyncEnumerablestreaming for large result sets. - Caching: repeated identical lookups per request, reference data fetched per call — recommend
IMemoryCache/HybridCachewith explicit invalidation strategy. - Startup/DI: captive dependencies (singleton holding scoped), reflection-heavy work per request.
For each finding: location, why it's slow (with the mechanism, not hand-waving), estimated impact (per-request vs. startup vs. under-load), and a concrete recommendation. Rank the report by expected payoff. Explicitly list hot paths you verified as fine.
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.
- yesterday First seen · 19 lines · 42 tokens per session scan A 280c7d358460
perf-analyzer is an agent published in the GitHub repository cwoodruff/dotnet-claude-code-kit (2 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 356 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to perf-analyzer, differing in 0 lines, and is treated as a copy.
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