performance-gradient-optimization

performance-gradient-optimization is a skill for Claude Code, Codex from AntheaLaffy/the-missing-semester-skills. It costs 69 tokens per session (1,666 once invoked), scanned A, original, no licence file.

A method for improving system performance through measured experiments and stable comparison baselines.

In plain words
What is it for?
It helps investigate performance bottlenecks, compare changes, refine performance models, and archive experiment results.
Why use it?
It reduces guesswork when changing latency, throughput, CPU, memory, input/output, energy, capacity, or cost. It also keeps results reproducible and uses explicit rules before accepting an improvement.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps investigate performance bottlenecks, compare changes, refine performance models, and archive experiment results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization
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 AntheaLaffy/the-missing-semester-skills --skill performance-gradient-optimization
Clone the repo
git clone --depth 1 https://github.com/AntheaLaffy/the-missing-semester-skills

Made for: Claude Code, Codex.

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 performance-gradient-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization/github.svg)](https://agentmods.dev/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization)
Your own site
<a href="https://agentmods.dev/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization"><img src="https://agentmods.dev/badge/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization/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.

agentmods 80×15 button for performance-gradient-optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization"><img src="https://agentmods.dev/badge/skills/anthealaffy/the-missing-semester-skills/performance-gradient-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,666 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 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 5.1 $0.00069 $0.01666
Opus 5.5 $0.00028 $0.00666
Sonnet 5.5 $0.00014 $0.00333
Haiku 4.5 $0.00007 $0.00167

Measured 20d ago against content hash 9fa6b25a0281, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

performance-gradient-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 20d 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.

performance-gradient-optimization/SKILL.md · 168 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

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. 20d ago First seen · 168 lines · 69 tokens per session scan A 9fa6b25a0281

Subscribe to this mod's changes

performance-gradient-optimization is a skill published in the GitHub repository AntheaLaffy/the-missing-semester-skills (1 stars, last pushed 20d ago), with no licence file. It adds 69 tokens to every session and 1,666 once invoked, about $0.0003 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 2026-09-22.

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