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 dyCuong03/unity-agent-team --skill wave4-ijobparallelfor-array-transformgit clone --depth 1 https://github.com/dyCuong03/unity-agent-teamWrote 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/dycuong03/unity-agent-team/wave4-ijobparallelfor-array-transform)<a href="https://agentmods.dev/skills/dycuong03/unity-agent-team/wave4-ijobparallelfor-array-transform"><img src="https://agentmods.dev/badge/skills/dycuong03/unity-agent-team/wave4-ijobparallelfor-array-transform/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/dycuong03/unity-agent-team/wave4-ijobparallelfor-array-transform"><img src="https://agentmods.dev/badge/skills/dycuong03/unity-agent-team/wave4-ijobparallelfor-array-transform.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 | $0.00027 | $0.00501 |
| Opus 5.5 | $0.00011 | $0.00200 |
| Sonnet 5.5 | $0.00005 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
wave4-ijobparallelfor-array-transform 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 11d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IJobParallelFor — Array Transform
Intent
Process large non-entity NativeArrays in parallel by distributing index ranges across worker threads.
Use When
- Data is a raw NativeArray (not ECS entities/components) and each index is independent.
- Large element counts (> ~1000) where parallel speedup exceeds scheduling overhead.
- Math-heavy transforms where Burst + SIMD provide significant gains.
Avoid When
- Data is ECS entities/components — use IJobEntity or IJobChunk.
- Elements have cross-index dependencies.
Senior Pattern
[BurstCompile]
public struct ScaleJob : IJobParallelFor
{
public NativeArray<float> Values;
public float Scale;
public void Execute(int index)
{
Values[index] *= Scale;
}
}
// batchSize=64 is a common starting point; profile for your data size
state.Dependency = job.Schedule(myArray.Length, 64, state.Dependency);
Anti-Patterns
- Writing to
Values[index ± k]without[NativeDisableParallelForRestriction]— safety error. - Using
[NativeDisableParallelForRestriction]to write arbitrary indices without proving no two workers write the same index — silent race. batchSizeof 1 for small arrays — thread dispatch overhead dominates.batchSizeequal to total length — equivalent to IJob, parallel overhead wasted.
Runtime Risks
- Cross-index writes without the attribute produce incorrect results in Burst release builds (no bounds check).
batchSizetoo small causes excessive work-item overhead.
Performance Notes
batchSize64 works well for float32 arrays; tune based on Profiler results.- SIMD auto-vectorization works best for simple arithmetic loops.
- For entity data, prefer IJobEntity — IJobParallelFor is for non-entity NativeArrays only.
Architecture Guidance
Use for non-entity bulk array transforms: physics response buffers, audio sample processing, procedural mesh generation. For ECS entity data, always prefer IJobEntity or IJobChunk.
Related Skills
[[ijobentity-parallel-job]], [[job-dependency-chain]], [[burst-compilation-contract]]
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.
- 11d ago First seen · 62 lines · 27 tokens per session scan A 4f1f88809f8c
wave4-ijobparallelfor-array-transform is a skill published in the GitHub repository dyCuong03/unity-agent-team (7 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 501 once invoked, about $0.0001 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 2026-10-02.
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