Gentleman.Dots is a personal development-environment configuration for Neovim, shells, terminal multiplexers, terminal emulators, and related command-line tools. Developers use it to install and configure a consistent coding setup, with an AI development layer managed separately through gentle-ai. The catalogue skills and instruction belong to that configured AI workflow.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Gentleman-Programming/Gentleman.Dotsnpx agentmods add skills/gentleman-programming/gentleman.dots/gentleman-trainerWrote 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.
[](https://agentmods.dev/skills/gentleman-programming/gentleman.dots/gentleman-trainer)<a href="https://agentmods.dev/skills/gentleman-programming/gentleman.dots/gentleman-trainer"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentleman.dots/gentleman-trainer/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.
<a href="https://agentmods.dev/skills/gentleman-programming/gentleman.dots/gentleman-trainer"><img src="https://agentmods.dev/badge/skills/gentleman-programming/gentleman.dots/gentleman-trainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01631 |
| Opus 5 | $0.00019 | $0.00816 |
| Sonnet 5 | $0.00008 | $0.00326 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
gentleman-trainer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Use this skill when:
- Adding new Vim training modules
- Creating exercises or boss fights
- Modifying progression/unlock system
- Working on the Vim command simulator
- Adding practice mode features
Critical Patterns
Pattern 1: ModuleID Constants
All modules MUST be defined as ModuleID constants in types.go:
type ModuleID string
const (
ModuleHorizontal ModuleID = "horizontal"
ModuleVertical ModuleID = "vertical"
ModuleTextObjects ModuleID = "textobjects"
ModuleChangeRepeat ModuleID = "cgn"
ModuleSubstitution ModuleID = "substitution"
ModuleRegex ModuleID = "regex"
ModuleMacros ModuleID = "macros"
// Add new modules here
)
Pattern 2: Exercise Structure
Every exercise follows this structure:
type Exercise struct {
ID string // "horizontal_001"
Module ModuleID // Parent module
Level int // 1-10 difficulty
Type ExerciseType // lesson, practice, boss
Code []string // Lines of code shown
CursorPos Position // Initial cursor
CursorTarget *Position // Target position (movement exercises)
Mission string // What user must do
Solutions []string // ALL valid solutions
Optimal string // Best/shortest solution
Hint string // Help text
Explanation string // Post-answer teaching
TimeoutSecs int // Before showing solution
Points int // Base score
}
Pattern 3: Module Unlock Order
Modules unlock sequentially - user must defeat boss to unlock next:
var moduleUnlockOrder = []ModuleID{
ModuleHorizontal, // Always unlocked
ModuleVertical, // After horizontal boss
ModuleTextObjects, // After vertical boss
ModuleChangeRepeat, // After textobjects boss
// ... etc
}
Pattern 4: Progression Flow
Lessons (sequential) → Practice (80% accuracy) → Boss Fight → Next Module
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.
- 9d ago First seen · 258 lines · 39 tokens per session scan A 3e605a992a12
gentleman-trainer is a skill published in the GitHub repository Gentleman-Programming/Gentleman.Dots (1,964 stars, last pushed 6d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,631 once invoked, about $0.0002 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 2026-08-30.
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