What is retro-emulator-config-optimization-agent-skill?

A documented assistant workflow for tuning retro game emulator settings and reducing display delay. It combines reference material with a separate analysis tool and defined checks.

Use it to analyze retro-emulator configurations, investigate display latency, validate results, and manage the workflow’s tools and input/output formats.

It helps structure emulator configuration work so settings, inputs, validation, and limitations are handled consistently instead of relying only on guesswork.

retro-emulator-config-optimization-agent-skill

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 dungnotnull/retro-emulator-config-optimization-agent-skill --skill retro-emulator-config-optimization-agent-skill

Clone the repo

git clone --depth 1 https://github.com/dungnotnull/retro-emulator-config-optimization-agent-skill

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill/github.svg)](https://agentmods.dev/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill)

Your own site

<a href="https://agentmods.dev/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill"><img src="https://agentmods.dev/badge/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill"><img src="https://agentmods.dev/badge/skills/dungnotnull/retro-emulator-config-optimization-agent-skill/retro-emulator-config-optimization-agent-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,955 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.02955
Opus 5.5	$0.00000	$0.01182
Sonnet 5.5	$0.00000	$0.00591
Haiku 4.5	$0.00000	$0.00296

Measured 2mo ago against content hash bbdb45a92cea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

retro-emulator-config-optimization-agent-skill 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 2mo ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/__init__.py, scripts/bench_analyzer.py, scripts/run_crawl.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

SKILL.md · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL.md - Skill 200: retro-emulator-config-optimization

Comprehensive skill-registry documentation for the production-grade, modular, evidence-backed Retro Emulation Configuration & Display Latency harness. This file is the canonical reference for how skills are registered, resolved, executed, and validated, including the I/O JSON schemas, the tool registry, the hook lifecycle, the type-safe configuration, and the token/context-window management strategy.

1. What this skill does

retro-emulator-config-optimization turns Claude into a Senior Retro Emulation Configuration & Display Latency Specialist. It gathers authoritative real-time and reference data, applies recognized domain methods, integrates an auto-updating academic knowledge base, and delivers risk/limitation-disclosed outputs. The deterministic part of the analysis is delegated to an offline, CI-testable tool (tools/emulator_config_analyzer.py); the LLM reserves judgment for the context the tool cannot encode.

2. Architecture at a glance

USER INPUT
   |
main.md (retro-emulator-config-optimization)
   |-- Pre-Flight language detection (en/vi)
   |-- router.md (chain-of-thought router) -- resolves ordered sub-skill plan
   |
   +-- sub-gather-requirements  -> requirements object
   +-- sub-evidence-collector   -> evidence bundle (+ optional analyzer scorecard)
   +-- sub-core-analysis         -> optimized config + Best/Base/Worst scenarios
   +-- sub-knowledge-updater    -> 3-5 Tier-labeled citations + gap flags
   +-- sub-advisor              -> verdict + evidence chain + remediation
   |
   +-- Quality Gate Review (U1-U6 + G1-G4) -> deliver report

Cross-cutting: config/settings.py (Settings, flags, token budgets), hooks/lifecycle.py (HookManager + structured events), tools/tool_registry.py (typed tools with JSON schemas), references/ (grounding), scripts/ (automation), assets/ (diagrams + schemas). See assets/architecture.mmd.

3. Skill registry

Read the full file on GitHub · 294 lines

Files

What ships with it

28 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.

2mo ago First seen · 294 lines · 0 tokens per session scan A bbdb45a92cea

Subscribe to this mod's changes

retro-emulator-config-optimization-agent-skill is a skill published in the GitHub repository dungnotnull/retro-emulator-config-optimization-agent-skill (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,955 tokens. 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.

Game development

retro-emulator-config-optimization-agent-skill next to 6 skills from other repositories
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