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aim-training-sensitivity-converter-agent-skill: Instructions file for Claude Code

CLAUDE.md

aim-training-sensitivity-converter-agent-skill CLAUDE.md is an instructions file for Claude Code from dungnotnull/aim-training-sensitivity-converter-agent-skill. It costs 1,421 tokens per session, scanned A, original, MIT.

Instructions for an aim-training and mouse-sensitivity analysis tool. It converts mouse sensitivity between shooting games using cm/360, the physical mouse distance needed to turn 360 degrees.

In plain words
What is it for?
Use it to convert sensitivity, analyze aiming practice and input settings, consult supporting research, and produce evidence-backed recommendations.
Why use it?
It helps players compare settings consistently across games and make practice decisions using documented methods and research.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is dungnotnull/aim-training-sensitivity-converter-agent-skill's own configuration. It tells Claude Code how to work on aim-training-sensitivity-converter-agent-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aim-training-sensitivity-converter-agent-skill configures →

not rated 5repo 3mo ago A scan 1,421 tokens original MIT
View source ↗ dungnotnull/aim-training-sensitivity-converter-agent-skill
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Borrowing it

Nothing to install: this file belongs to dungnotnull/aim-training-sensitivity-converter-agent-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dungnotnull/aim-training-sensitivity-converter-agent-skill/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/aim-training-sensitivity-converter-agent-skill

Made for: Claude Code.

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Per session 1,421 This file is loaded in full into every session.
When invoked 1,421 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01421 $0.01421
Opus 5.5 $0.00568 $0.00568
Sonnet 5.5 $0.00284 $0.00284
Haiku 4.5 $0.00142 $0.00142

Measured 2mo ago against content hash 111125170683, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aim-training-sensitivity-converter-agent-skill CLAUDE.md 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.

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.

CLAUDE.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md ? Skill 195: aim-training-sensitivity-converter

Skill Identity

  • Skill Name: aim-training-sensitivity-converter
  • Tagline: Aim Training & Sensitivity Converter (Mouse/Cross-Game) ? FPS Aim Training & Input Configuration analysis & decision-support harness.
  • Current Phase: Phase 5 ? Integration & Polish (PRODUCTION READY v1.1.0)
  • Folder: D:\972026\195-aim-training-sensitivity-converter\

Problem This Skill Solves

This skill provides a structured, evidence-backed analytical workflow for FPS Aim Training & Input Configuration. It converts mouse sensitivity consistently across games using the authoritative cm/360 method (delegated to a deterministic engine, never by hand), applies recognized domain methods (deliberate practice, motor-learning feedback), cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources ? continuously self-improving through an automated knowledge crawl pipeline.

Harness Flow Summary

/aim-training-sensitivity-converter invoked
?
?? Pre-Flight: detect language (vi/en)
?? Step 1: sub-gather-requirements   ? game(s), DPI, sens, FOV, grip, mouse, skill, weaknesses
?? Step 2: sub-evidence-collector    ? engine constants, sensor specs, pro refs, docs, news
?? Step 3: sub-core-analysis         ? cm/360 conversion (engine), aim assessment, routine
?? Step 4: sub-knowledge-updater     ? academic evidence with tiers + gap flags
?? Step 5: sub-advisor               ? risk-disclosed verdict + evidence chain + actions
?? Step 6: main (quality gate)       ? verify U1?U6 + G1?G4, auto-fix, deliver

Sub-Skills

Sub-skill Purpose
skills/sub-gather-requirements.md Clarify game(s), DPI, sens, FOV, grip, mouse, skill, weaknesses, audience, language.
skills/sub-evidence-collector.md Fetch engine constants, sensor specs, pro references, docs, recent developments.
skills/sub-core-analysis.md Convert sens via the engine (cm/360), assess aim by category, prescribe routine.
skills/sub-knowledge-updater.md Surface academic evidence with tier labels; flag gaps for the crawl pipeline.
skills/sub-advisor.md Synthesize a risk-disclosed verdict + evidence chain + recommended actions.

Read the full file on GitHub · 133 lines

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. 2mo ago First seen · 133 lines · 1,421 tokens per session scan A 111125170683

Subscribe to this mod's changes

aim-training-sensitivity-converter-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/aim-training-sensitivity-converter-agent-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,421 tokens to every session, about $0.0057 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 2026-08-31.

Game development
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