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.
npx agentmods add commands/dancinlab/hexa-lang/mlgit clone --depth 1 https://github.com/dancinlab/hexa-langWhat 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 | $0.00000 | $0.00865 |
| Opus 5 | $0.00000 | $0.00432 |
| Sonnet 5 | $0.00000 | $0.00173 |
| Haiku 4.5 | $0.00000 | $0.00086 |
Grade A, and why
ml scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ML 다음 레벨 로드맵을 관리한다.
⛔ 표시 규칙 (절대 위반 금지)
- status="done" 항목은 절대 표시하지 않는다 — todo와 partial만 표시
- 매 행 사이에 ├────┼── 가로 구분선을 반드시 넣는다
- 표시할 항목이 20개 미만이면 새 항목을 제안하여 20개까지 같은 표 안에 채운다 —
ml add텍스트가 아니라 동일한 box-drawing 표 형식으로 행 추가. 상태 컬럼에 "제안" 표시 - 하단에 done/partial/todo 카운트 표시
- H100/GPU 필요 항목은 별도 표로 맨 마지막에 H100 컬럼 포함하여 표시
실행 절차
shared/hexa-lang/ml-next-level.json을 읽는다 (SSOT).- 인자($ARGUMENTS)에 따라 분기:
인자 없음 또는 "list"
- JSON에서 status가 "todo" 또는 "partial"인 항목만 필터링
- 아래 형식으로 출력 (done 항목은 절대 포함하지 않는다):
┌────┬──────────────────────┬─────────────────────────────┬──────────────────┬────────┐
│ # │ 영역 │ 설명 │ 영향 │ 상태 │
├────┼──────────────────────┼─────────────────────────────┼──────────────────┼────────┤
│ 51 │ Pipeline Parallelism │ 레이어 분할 마이크로배치 │ 대규모 학습 효율 │ 제안 │
├────┼──────────────────────┼─────────────────────────────┼──────────────────┼────────┤
│ 52 │ ZeRO Optimizer │ 옵티마이저 상태 분할 │ 메모리 8x 절감 │ 제안 │
├────┼──────────────────────┼─────────────────────────────┼──────────────────┼────────┤
│ .. │ ... │ ... │ ... │ 제안 │
└────┴──────────────────────┴─────────────────────────────┴──────────────────┴────────┘
⚠️ H100/GPU 필요 (confirm 후 진행):
┌────┬──────────────────────┬─────────────────────────────┬──────────────────┬────────┬──────┐
│ # │ 영역 │ 설명 │ 영향 │ 상태 │ H100 │
├────┼──────────────────────┼─────────────────────────────┼──────────────────┼────────┼──────┤
│ 20 │ Tensor Parallelism │ GPU 간 분할 │ 단일 GPU 초과 │ todo │ 필수 │
└────┴──────────────────────┴─────────────────────────────┴──────────────────┴────────┴──────┘
done: 49 / todo: 1 / 제안: 19 (총 50개)
"go" (메인 명령어)
- status=todo|partial 전부 병렬 bg Agent 발사 (run_in_background: true 필수)
- 확인 질문 없이 즉시 실행
- 포그라운드 Agent 금지
"next"
- 최우선 항목 계획 → 확인 → 구현
숫자 (예: "5")
- 해당 id 항목 구현 시작
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.
- 3d ago First seen · 64 lines · 0 tokens per session scan A e0f42191ebdd
ml is a command published in the GitHub repository dancinlab/hexa-lang (196 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 865 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.
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