cpp-hpc-optimization

A guide for designing and improving fast, computation-heavy C++ programs, including high-performance computing workloads. It covers algorithms, memory use, processor features, parallel work, numerical behavior, and accelerator pipelines.

In plain words
What is it for?
Use it when designing or changing C++ code that processes large amounts of data or performs intensive calculations, especially when profiling and performance measurements are needed.
Why use it?
It helps find whether a slow program is limited by its algorithm, memory access, processor use, parallel scheduling, or numerical approach before changes are made.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/archibate/agent-skills/cpp-hpc-optimization
Any agent
npx skills add archibate/agent-skills --skill cpp-hpc-optimization
Clone the repo
git clone --depth 1 https://github.com/archibate/agent-skills

Made for: Claude Code, Codex.

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,216 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00107 $0.02216
Opus 5 $0.00053 $0.01108
Sonnet 5 $0.00021 $0.00443
Haiku 4.5 $0.00011 $0.00222

Measured 2d ago against content hash 9377109b407d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cpp-hpc-optimization 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.

skills/cpp-hpc-optimization/SKILL.md · 209 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

60 files 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. 2d ago First seen · 209 lines · 107 tokens per session scan A 9377109b407d

Subscribe to this mod's changes

cpp-hpc-optimization is a skill published in the GitHub repository archibate/agent-skills (4 stars, last pushed 3d ago), with no licence file. It adds 107 tokens to every session and 2,216 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 2026-08-31.

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