A help command that prints the available commands for managing a machine-learning roadmap. Machine learning is software that learns patterns from data.

Use it when you need the exact syntax or purpose of commands such as /ml, /ml next, /ml done, or /ml sync.

It gives developers a quick reference for listing work, starting tasks, updating completion, adding items, and synchronizing roadmap files.

How dancinlab/hexa-lang configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to dancinlab/hexa-lang. 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/dancinlab/hexa-lang/main/.claude/commands/ml-help.md

Clone the repo

git clone --depth 1 https://github.com/dancinlab/hexa-lang

Made for: Claude Code.

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/commands/dancinlab/hexa-lang/ml-help/github.svg)](https://agentmods.dev/commands/dancinlab/hexa-lang/ml-help)

Your own site

<a href="https://agentmods.dev/commands/dancinlab/hexa-lang/ml-help"><img src="https://agentmods.dev/badge/commands/dancinlab/hexa-lang/ml-help/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/commands/dancinlab/hexa-lang/ml-help"><img src="https://agentmods.dev/badge/commands/dancinlab/hexa-lang/ml-help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 215 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	$0.00215
Opus 5.5	$0.00000	$0.00086
Sonnet 5.5	$0.00000	$0.00043
Haiku 4.5	$0.00000	$0.00021

Measured 2mo ago against content hash e5f64faa8324, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ml-help 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/commands/ml-help.md · 20 lines

What it actually says

ML 로드맵 명령어 안내를 출력한다.

아래 표를 그대로 출력하라:

┌──────────────────────────┬──────────────────────────────────┐
│           명령           │              동작                │
├──────────────────────────┼──────────────────────────────────┤
│ /ml                      │ 전체 목록 ASCII 표               │
│ /ml go                   │ 최우선 항목 즉시 구현 (메인)     │
│ /ml next                 │ 최우선 항목 계획 → 확인 → 구현   │
│ /ml 5                    │ #5 SSM/Mamba 구현 시작           │
│ /ml done 1               │ #1 완료 체크 + JSON 갱신         │
│ /ml add 이름 | 설명 | 영향│ 새 항목 추가                    │
│ /ml sync                 │ roadmap.md + CLAUDE.md 동기화    │
└──────────────────────────┴──────────────────────────────────┘

SSOT: shared/hexa-lang/ml-next-level.json

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 · 20 lines · 0 tokens per session scan A e5f64faa8324

Subscribe to this mod's changes

ml-help is a command published in the GitHub repository dancinlab/hexa-lang (195 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 215 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 2026-08-30.

Data and AI compiler hexa-family n6 number-theory perfect-number programming-language

ml-help next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ml-helpdancinlab/hexa-lang	Command	195	3mo ago	MIT	A	0	Claude Code
prototypegrainulation/grainulator	Command	86	yesterday	MIT	A	0	Claude Code
bootmicrosoft/PromptKit	Command	113	9d ago	MIT	A	14	GitHub Copilot
laravel-ai-sdkjpcaparas/superpowers-laravel	Command	157	4mo ago	MIT	A	27	Claude Code
vlm-ocr-evaluationscdenney/open-science-skills	Command	69	yesterday	none	A	0	Claude Code
dare-llm-integrationdewtech-technologies/dare-method	Command	5	3mo ago	MIT	A	0	Claude Code
prompt-createNVZver/claude-marketplace	Command	1	2mo ago	MIT	A	10	Claude Code

hexa-lang: Command for Claude Code