game-performance-optimization

game-performance-optimization is a skill for Claude Code, Codex from theisegoria/game-development-studio. It costs 54 tokens per session (423 once invoked), scanned A, original, MIT.

A workflow for improving game performance by comparing measured telemetry from a baseline run with a candidate run. Telemetry is recorded data such as timing or frame-rate measurements.

In plain words
What is it for?
Use it to summarize a baseline, make one bounded code change, run tests, capture a candidate measurement, and compare the results under matching conditions.
Why use it?
It keeps optimization tied to a reproducible scenario and a named metric instead of relying on visual impressions or unverified guesses.

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/theisegoria/game-development-studio/game-performance-optimization
Any agent
npx skills add theisegoria/game-development-studio --skill game-performance-optimization
Clone the repo
git clone --depth 1 https://github.com/theisegoria/game-development-studio

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 game-performance-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/theisegoria/game-development-studio/game-performance-optimization.svg)](https://agentmods.dev/skills/theisegoria/game-development-studio/game-performance-optimization)
Your own site
<a href="https://agentmods.dev/skills/theisegoria/game-development-studio/game-performance-optimization"><img src="https://agentmods.dev/badge/skills/theisegoria/game-development-studio/game-performance-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 423 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00054 $0.00423
Opus 5 $0.00027 $0.00211
Sonnet 5 $0.00011 $0.00085
Haiku 4.5 $0.00005 $0.00042

Measured 4d ago against content hash 8425967ab225, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

game-performance-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 4d 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/game-performance-optimization/SKILL.md · 26 lines

What it actually says

Game Performance Optimization

Use game-dev run bundles as the measurement boundary. Begin only after a reproducible scenario emits the requested metric with a stable unit.

Read references/optimization-loop.md for goal requests, commands, and comparison rules.

Workflow

  1. Verify the baseline run, summarize its metrics, and choose one named metric, statistic, unit, direction, and target. Do not optimize a proxy without explaining why it represents the user's outcome.
  2. Confirm scene, seed, workload, build mode, renderer path, hardware, power state, and instrumentation are comparable. Hardware timings require the separately authorized evidence path; arithmetic over unadmitted values is not hardware-performance proof.
  3. Create a dry-run goal with a narrow source-path allowlist and a fixed maximum iteration count. Exclude repository metadata, dependencies, build output, run bundles, and broad project roots.
  4. After explicit confirmation, make one bounded candidate change, run relevant non-performance tests, capture one candidate, verify it, and evaluate it once.
  5. Compare the target metric and inspect correctness signals, raster evidence, errors, and secondary regressions. A numeric improvement does not establish which change caused it.
  6. Stop when the target is met, the iteration budget is exhausted, the measurement becomes incomparable, correctness regresses, or progress requires broader authority.

Do not reuse a candidate run as another iteration, silently widen allowed paths, change the target mid-goal, or turn a bounded goal into an open-ended autonomous loop.

Evidence boundary

The summarizer proves deterministic arithmetic over sealed telemetry and profile fields. It does not prove timer quality, GPU synchronization, hardware comparability, statistical significance, or causal attribution. Report the adapter's measurement claims and the harness's admitted evidence separately.

Files

What ships with it

4 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. 4d ago First seen · 26 lines · 54 tokens per session scan A 8425967ab225

Subscribe to this mod's changes

game-performance-optimization is a skill published in the GitHub repository theisegoria/game-development-studio (10 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 423 once invoked, about $0.0003 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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