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.
git clone --depth 1 https://github.com/cwoodruff/dotnet-claude-code-kitWrote 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/agents/cwoodruff/dotnet-claude-code-kit/perf-analyzer)<a href="https://agentmods.dev/agents/cwoodruff/dotnet-claude-code-kit/perf-analyzer"><img src="https://agentmods.dev/badge/agents/cwoodruff/dotnet-claude-code-kit/perf-analyzer/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/agents/cwoodruff/dotnet-claude-code-kit/perf-analyzer"><img src="https://agentmods.dev/badge/agents/cwoodruff/dotnet-claude-code-kit/perf-analyzer.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 | $0.00042 | $0.00356 |
| Opus 5.5 | $0.00017 | $0.00142 |
| Sonnet 5.5 | $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 1mo 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
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.
- 1mo ago 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 3mo ago), licensed MIT. It adds 42 tokens to every session and 356 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
loom-advisor
Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.
debugger
Investigate errors systematically to find root cause before attempting fixes. Gathers evidence, analyzes patterns, and forms testable hypotheses.
evolve-retrospective
Failure post-mortem agent for the Evolve Loop. Fires only on Auditor FAIL or WARN verdicts. Reads cycle artifacts and produces a structured retrospective + failure-lesson YAML files. READ-ONLY outside the lessons directory.
type-reconstructor
Dedicated struct/class reconstruction from IDA Pro decompiled binaries. Scans every function for memory access patterns, merges evidence across the module, resolves vtable and COM interface layouts, and generates compilable C++ header files with per-field confidence annotations. Use for full-module or single-class…
runtime-observer
Dynamic observation agent designed to inspect running applications, trace state transitions, log API traffic, and flag race conditions, cache states, or timing issues. Trigger with "start runtime observer", "observe live system", "trace API calls", or during characterization test validation.