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 christian289/dotnet-with-claudecode --skill implementing-io-pipelinesgit clone --depth 1 https://github.com/christian289/dotnet-with-claudecodeWrote 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/christian289/dotnet-with-claudecode/implementing-io-pipelines)<a href="https://agentmods.dev/skills/christian289/dotnet-with-claudecode/implementing-io-pipelines"><img src="https://agentmods.dev/badge/skills/christian289/dotnet-with-claudecode/implementing-io-pipelines/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/christian289/dotnet-with-claudecode/implementing-io-pipelines"><img src="https://agentmods.dev/badge/skills/christian289/dotnet-with-claudecode/implementing-io-pipelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00030 | $0.01425 |
| Opus 5 | $0.00015 | $0.00713 |
| Sonnet 5 | $0.00006 | $0.00285 |
| Haiku 4.5 | $0.00003 | $0.00143 |
Grade A, and why
implementing-io-pipelines 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 10d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Streaming (System.IO.Pipelines)
A guide for System.IO.Pipelines API for high-performance I/O pipelines.
Quick Reference: See QUICKREF.md for essential patterns at a glance.
1. Core Concepts
| Concept | Description |
|---|---|
Pipe |
Memory buffer-based read/write pipe |
PipeReader |
Read data from pipe |
PipeWriter |
Write data to pipe |
ReadOnlySequence<T> |
Non-contiguous memory sequence |
2. Advantages
- Zero-copy: Minimizes unnecessary memory copying
- Backpressure control: Speed regulation between producer and consumer
- Memory pooling: Automatic buffer reuse
- Async I/O: Efficient asynchronous processing
3. Basic Usage
using System.IO.Pipelines;
public sealed class PipelineProcessor
{
public async Task ProcessAsync(Stream stream)
{
var pipe = new Pipe();
// Run Writer and Reader concurrently
var writing = FillPipeAsync(stream, pipe.Writer);
var reading = ReadPipeAsync(pipe.Reader);
await Task.WhenAll(writing, reading);
}
private async Task FillPipeAsync(Stream stream, PipeWriter writer)
{
const int minimumBufferSize = 512;
while (true)
{
// Acquire buffer from memory pool
Memory<byte> memory = writer.GetMemory(minimumBufferSize);
int bytesRead = await stream.ReadAsync(memory);
if (bytesRead == 0)
break;
// Notify bytes written
writer.Advance(bytesRead);
// Flush data and notify Reader
FlushResult result = await writer.FlushAsync();
if (result.IsCompleted)
break;
}
// Signal write completion
await writer.CompleteAsync();
}
private async Task ReadPipeAsync(PipeReader reader)
{
while (true)
{
ReadResult result = await reader.ReadAsync();
ReadOnlySequence<byte> buffer = result.Buffer;
// Process buffer
ProcessBuffer(buffer);
// Notify consumption up to processed position
reader.AdvanceTo(buffer.End);
if (result.IsCompleted)
break;
}
// Signal read completion
await reader.CompleteAsync();
}
}
What ships with it
1 file 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.
- 10d ago First seen · 283 lines · 30 tokens per session scan A 1ec7ea6a0bdd
implementing-io-pipelines is a skill published in the GitHub repository christian289/dotnet-with-claudecode (41 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 1,425 once invoked, about $0.0002 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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