span-memory-refactor

span-memory-refactor is a skill for Claude Code from StefanTheCode/dotnet-ai-toolkit. It costs 109 tokens per session (691 once invoked), scanned A, original, MIT.

A guide for rewriting performance-sensitive C# code with Span, ReadOnlySpan, and Memory, which let programs work with parts of text or data without repeatedly copying them.

In plain words
What is it for?
It is for reviewing C# files or projects, finding allocation-heavy Substring, Split, slicing, and buffer operations, and replacing them where appropriate.
Why use it?
It helps reduce temporary strings, arrays, and other memory allocations in parsing and buffer-heavy code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dotnet-ai-toolkit plugin — 49 skills shipped together

Good fit It is for reviewing C# files or projects, finding allocation-heavy Substring, Split, slicing, and buffer operations, and replacing them where appropriate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stefanthecode/dotnet-ai-toolkit/span-memory-refactor
Install

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.

Any agent
npx skills add StefanTheCode/dotnet-ai-toolkit --skill span-memory-refactor
Clone the repo
git clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-toolkit

Made for: Claude Code.

Or install dotnet-ai-toolkit, the plugin that ships this one along with the rest of its 49 skills.

Wrote 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.

agentmods badge for span-memory-refactor

README.md
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Your own site
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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.

agentmods 80×15 button for span-memory-refactor

Your own site · 80×15
<a href="https://agentmods.dev/skills/stefanthecode/dotnet-ai-toolkit/span-memory-refactor"><img src="https://agentmods.dev/badge/skills/stefanthecode/dotnet-ai-toolkit/span-memory-refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 691 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.00691
Opus 5.5 $0.00044 $0.00276
Sonnet 5.5 $0.00022 $0.00138
Haiku 4.5 $0.00011 $0.00069

Measured 2mo ago against content hash b3bf4c2ba705, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

span-memory-refactor 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 2mo 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.

skills/span-memory-refactor/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Span / Memory Refactor Advisor

Rewrite hot parsing/slicing/buffer code to use Span<T>/ReadOnlySpan<T> (and Memory<T> for async) so it stops allocating intermediate strings and arrays — safely, and only where it pays.

Input — point it at your code

Works on a target: a file, folder, project, or GitHub URL. Find candidates: grep -rn "Substring\|Split(\|ToCharArray\|new byte\[\|Buffer" --include=*.cs <target>.

Common refactors

Substring → slice (no allocation):

// allocates a new string per call
var year = date.Substring(0, 4);
// no allocation: a view over the original
ReadOnlySpan<char> year = date.AsSpan(0, 4);
int y = int.Parse(year);

Split in a hot loop → MemoryExtensions enumerator / manual slicing:

ReadOnlySpan<char> rest = line;
int comma;
while ((comma = rest.IndexOf(',')) >= 0)
{
    ReadOnlySpan<char> field = rest[..comma];
    // use field without allocating
    rest = rest[(comma + 1)..];
}

Small temporary buffer → stackalloc (no heap):

Span<byte> buffer = stackalloc byte[32];   // keep small; this is stack memory

Async boundaries → Memory<T> (you can't store a Span<T> across await; use Memory<T>/ReadOnlyMemory<T>).

Guardrails the skill enforces

  • Span<T> is a ref struct: can't be a field, captured in a lambda, used across await, or boxed. Use Memory<T> there.
  • Keep stackalloc small and bounded (no user-controlled size) to avoid stack overflow.
  • Don't return a span over stackalloc/local memory — it dangles.

Principles

  • Only refactor hot paths. Spans add cognitive cost; cold code stays readable.
  • The win is eliminating intermediate allocations (substrings, split arrays), not raw arithmetic.
  • Measure with [MemoryDiagnoser] — confirm allocations actually dropped.

How to use it & best prompts

"Make this parser allocation-free with Span", "replace these Substring calls with slices", "use stackalloc for this buffer", "why can't I use Span across await here". Pairs with memory-allocation-analyzer and benchmarkdotnet-setup.

Read the full file on GitHub · 56 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 56 lines · 109 tokens per session scan A b3bf4c2ba705

Subscribe to this mod's changes

span-memory-refactor is a skill published in the GitHub repository StefanTheCode/dotnet-ai-toolkit (26 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 691 once invoked, about $0.0004 per session on Opus 5.5. 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.

Related

span-memory-refactor compared with skills from other repositories

span-memory-refactor next to 6 skills from other repositories
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