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 skills/stefanthecode/dotnet-ai-toolkit/stj-serialization-optimizernpx skills add StefanTheCode/dotnet-ai-toolkit --skill stj-serialization-optimizergit clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-toolkitWhat 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 | $0.00095 | $0.00571 |
| Opus 5 | $0.00048 | $0.00285 |
| Sonnet 5 | $0.00019 | $0.00114 |
| Haiku 4.5 | $0.00010 | $0.00057 |
Grade A, and why
stj-serialization-optimizer 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 2d 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.
What it actually says
System.Text.Json Optimizer
Make JSON serialization faster and leaner with System.Text.Json — source generation, reused options, streaming, and the small mistakes that cost a lot.
Input — point it at your code
Works on a target: a file, folder, project, or GitHub URL. Find usage: grep -rn "JsonSerializer\.\|JsonSerializerOptions\|System.Text.Json" --include=*.cs <target>.
Top fixes
- Reuse
JsonSerializerOptions— building a new options object per call is expensive (it caches metadata). Create one static instance and reuse it. This alone is a common big win. - Source generation — avoid reflection at runtime with a
JsonSerializerContext:
[JsonSerializable(typeof(Order))]
[JsonSerializable(typeof(List<Order>))]
public partial class AppJsonContext : JsonSerializerContext { }
var json = JsonSerializer.Serialize(order, AppJsonContext.Default.Order);
Faster startup, lower allocations, AOT-friendly.
3. Stream, don't buffer — JsonSerializer.SerializeAsync(stream, ...) / DeserializeAsync for large payloads and HTTP bodies instead of Serialize to a string then write.
4. Utf8JsonWriter/Utf8JsonReader for the hottest custom paths — work on byte/UTF-8 directly, skip the string.
5. Trim the payload — [JsonIgnore], DefaultIgnoreCondition = WhenWritingNull, shorter property names where appropriate.
6. Custom converters only when needed — and make them allocation-light.
Principles
- Options reuse + source generation are 80% of the wins — do those first.
- Stream large payloads; don't materialize giant strings.
- Measure with
[MemoryDiagnoser]— serialization is often an allocation story. - Don't hand-roll converters the built-in serializer already handles.
How to use it & best prompts
"Speed up my JSON serialization", "add System.Text.Json source generation", "why does serializing this allocate so much", "stream this large JSON response". Pairs with benchmarkdotnet-setup.
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.
- 2d ago First seen · 39 lines · 95 tokens per session scan A 1f3b9fe179e2
stj-serialization-optimizer is a skill published in the GitHub repository StefanTheCode/dotnet-ai-toolkit (19 stars, last pushed 23d ago), licensed MIT. It adds 95 tokens to every session and 571 once invoked, about $0.0005 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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